ManimCommunity/manim

Executive summary

ManimCommunity/manim is rated At risk because critical security findings are open, most of them in the build pipeline. Its score is held back in part because we found no recorded design decisions and no architecture document or diagram. It scores 59 out of 100, which the At risk rating leaves unchanged. We judged it as a preview release, against a lower bar.

Maturity, at 44, is the weakest lens and counts most in the score. The best first step is recording design decisions, worth about 14 points. Raising Maturity to 62 would lift the score to about 67.

Thirty-three pipeline tools are referenced by a changeable name, so the build pipeline can be tampered with. Six secrets can leak from the build pipeline, and three pipeline steps run downloads nobody checks. Pinning each tool to an exact version, limiting each secret to its own step and checking each download against a checksum would close these risks. Updating the vulnerable packages would fix the two packages with a known security hole, and the three places where the code runs text as code or as a command need a direct call instead. The four parts of the code nobody has worked on for a long time need someone to learn and document them before anyone changes them.

The product code is 66,254 lines, about €88,000 to rebuild.

Code Health 68 Adequate, capped by Structured logging Architecture 83 Adequate, capped by Project Cohesion Maturity 44 Adequate, capped by Architecture documentation Production Readiness 81 Strong Security and Compliance 69 Adequate, capped by Static Analysis (SAST) and Supply-chain Provenance & Signing

A lens is capped at Adequate while one of its dimensions scores below 4 out of 10, however well the rest of the lens does. That way a serious problem in one place always shows in the lens's rating.

How the score is built: what each lens counts for The lenses don't count equally. The weakest lens counts most, the next weakest a little less, and so on, so a weak area pulls the score down instead of being averaged away. In the bar below, each part's width shows how much that lens counts and its colour shows its rating. Improving the widest part moves the score most, and as that lens improves, it counts for less, because another lens becomes the weakest.

Maturity 44 · counts for 47%Code Health 68 · counts for 26%Security and Compliance 69 · counts for 14%Production Readiness 81 · counts for 8%Architecture 83 · counts for 4%

If Maturity rose from 44 to 62, the lowest score rated Strong, the score would rise from 59 to about 67.

Code composition: what the lines of code are

Product code 79%Tests 21%

New since the last survey: 11 findings

These 11 critical or serious findings weren't in the previous survey, on 11 October 2026.

Code Duplication · Duplicated block (21 lines × 2) manim/mobject/opengl/opengl_vectorized_mobject.py
Churn × Complexity Hotspots · Repeated repair: manim/mobject/geometry/line.py manim/mobject/geometry/line.py
Explicit Debt · TodoComment manim/mobject/geometry/line.py
Dependency Vulnerabilities · REDACTED
Knowledge Freshness · Orphaned knowledge manim/animation/creation.py
Knowledge Freshness · Orphaned knowledge manim/animation/indication.py
Supply-chain Provenance & Signing · REDACTED
Supply-chain Provenance & Signing · REDACTED
Supply-chain Provenance & Signing · REDACTED
Supply-chain Provenance & Signing · REDACTED
Supply-chain Provenance & Signing · REDACTED

Watchdog compares every finding with the previous survey's. A finding that has only moved to another line in the same file counts as the same finding, so only new findings appear here. Advisory notes from the AI model are left out, because the model words them afresh in every survey.

Fixed since the last survey: 8 findings

These 8 critical or serious findings were in the previous survey, on 11 October 2026, and are gone from this one.

Code Duplication · Duplicated block (51 lines × 2) manim/mobject/opengl/opengl_vectorized_mobject.py
Code Duplication · Duplicated block (11 lines × 2) manim/mobject/mobject.py
Explicit Debt · TodoComment manim/mobject/geometry/line.py
Explicit Debt · TodoComment manim/mobject/geometry/line.py
Supply-chain Provenance & Signing REDACTED
Supply-chain Provenance & Signing REDACTED
Supply-chain Provenance & Signing REDACTED
Supply-chain Provenance & Signing REDACTED

Rebuild cost: about €88,000 · Estimate

Cost to rebuild	€29,000 to €150,000, for 489 to 1,553 hours of work, about 0.6 person-years for 1 to 2 engineers
Difficulty of the problem	Standard, judged from the kind of software and how it is built. Code that solves a harder problem, such as payments or medical bookings, costs more per line to write.
Quality factor	×0.8 at a score of 59. Better code takes more work to write, so the factor is ×1.0 at a score of 70, lower below it and higher above it.
Size	Medium: 66,254 lines of product code

How the estimate is made: Watchdog prices the hours a team would need to write this code again, at €60 to €95 an hour. Declarations and boilerplate are priced at a fast rate and logic at a slower one, and the logic is then multiplied by the difficulty of the problem and by the quality factor. The estimate can be about 30% off either way, and it moves most with the hourly rate and the difficulty. For this code, every line is priced as straight logic, which keeps the estimate on the low side.

Top priorities

The three actions that raise the score most for the work they take. The full ranked list is in the Roadmap.

Resolve the 1 No ADRs found finding(s) in ADR Quality.

Raises the score by about 14 points · Low effort · ADR Quality

Record your significant design decisions.

Write one short document per decision, giving its date, the situation, the decision and its consequences, and keep them together with your other design documents. A docs/adr folder with each file named by number and title is the easiest place to find them.

Raises the score by about 12 points · Medium effort · Architecture documentation

Resolve the 4 Orphaned knowledge finding(s) in Knowledge Freshness — start with XKCD.py, tex_templates.py, creation.py.

Raises the score by about 3 points · Low effort · Knowledge Freshness

Diagnosis: what the measurements show together

Each conclusion below combines several dimensions into one point that no single dimension shows, and lists the measurements it rests on.

Where the investment is most exposed · Value at risk

This code would cost about €88,000 to build again, about 0.6 person-years of work. Its weakest lens is Maturity, at 44 (Weak). Maturity is about how well the project explains and looks after itself, which decides whether a new developer, or a new supplier, can take over. Because the weakest lens counts most in the score, work on Maturity also moves the score most.

Based on: the rebuild estimate · the Maturity grade · how much each lens counts

What to do: Start with the Maturity actions in Top priorities.

If you do one thing first · First action

Resolve the 1 No ADRs found finding(s) in ADR Quality. Of all the actions in this report, it raises the score most for the work it takes: about 14 points for low effort, because it clears the 1 ADR Quality findings. The next survey will show the change in the score.

Based on: the ranked actions in Top priorities, by score gain and effort

Architecture: which parts of the code depend on which

The code is divided into modules, groups of code that each handle one part of the product, and a module depends on another when it uses code from it. The table lists the modules both down the side and across the top, in an order where each module should only use modules listed above it. A number in a cell means the module on that row uses the module in that column, and it counts the pairs of building blocks (types) that connect them. The one thing to look for is a mark above the diagonal line. It means two or more modules use each other in a loop (a dependency cycle), so none of them can be changed, tested or released on its own.

148 modules, with 239 dependencies between them. 3 loops run through 10 of the modules, marked above the diagonal.

The table shows the 40 modules with the most connections; 108 more are left out to keep it readable.

Which modules use which. The module on each row uses the module in each column, and the number counts the pairs of types that connect them. A cell above the diagonal is part of a loop.
uses →	1 manim._config.output	2 manim.mobject.opengl.opengl_mobject	3 manim.utils.color.core	4 manim.utils.rate_functions	5 manim._config.output_plan	6 manim._config.render_session	9 manim.mobject.types.point_cloud_mobject	10 manim.scene.scene	12 manim.animation.animation	13 manim.scene.scene_file_writer	14 manim.mobject.mobject	16 manim.animation.composition	17 manim.animation.transform	18 manim.camera.moving_camera	19 manim.mobject.types.vectorized_mobject	20 manim.animation.creation	21 manim.animation.movement	22 manim.mobject.geometry.polygram	23 manim.mobject.matrix	24 manim.mobject.types.image_mobject	26 manim.camera.camera	27 manim.mobject.geometry.line	28 manim.mobject.geometry.tips	29 manim.mobject.geometry.arc	30 manim.mobject.geometry.shape_matchers	31 manim.mobject.graphing.number_line	34 manim.mobject.svg.svg_mobject	36 manim.mobject.text.tex_mobject	37 manim.mobject.graphing.coordinate_systems
1 manim._config.output
2 manim.mobject.opengl.opengl_mobject
3 manim.utils.color.core
4 manim.utils.rate_functions
5 manim._config.output_plan	1
6 manim._config.render_session	1
7 manim._config.utils			1
8 manim.mobject.opengl.opengl_vectorized_mobject		2
9 manim.mobject.types.point_cloud_mobject			3								1
10 manim.scene.scene											1
11 manim._config	2				3	2
12 manim.animation.animation								3			1
13 manim.scene.scene_file_writer					1
14 manim.mobject.mobject			1				1		1
15 manim.renderer.opengl_renderer		1				1		1		1
16 manim.animation.composition								1	1		1
17 manim.animation.transform								1	2		18
18 manim.camera.moving_camera			1								2										1
19 manim.mobject.types.vectorized_mobject			3								1
20 manim.animation.creation			1					1	4		5	1			1
21 manim.animation.movement				1					3		5				1
22 manim.mobject.geometry.polygram															2
23 manim.mobject.matrix															2
24 manim.mobject.types.image_mobject											3			1
25 manim.utils			1	1				1		1	1				1
26 manim.camera.camera			1				1				1				1					1
27 manim.mobject.geometry.line															4				1					1
28 manim.mobject.geometry.tips															1			2						1
29 manim.mobject.geometry.arc											1				5							1	1
30 manim.mobject.geometry.shape_matchers											2				1			1				1
31 manim.mobject.graphing.number_line															2							1
32 benchmarks.bench_lissajous								1							2									2
33 manim.animation.indication				2				1	1		5	4	2		3	1	1							1
34 manim.mobject.svg.svg_mobject															2			2				1		1
35 manim.mobject.table												1			1			1							1
36 manim.mobject.text.tex_mobject															2												1
37 manim.mobject.graphing.coordinate_systems											2				7			1				4				3		1
38 manim.mobject.svg.brace											3	1			1												1	2
39 manim.mobject.vector_field											1	1			2							1							1
40 manim.scene.vector_space_scene								1			1		1		2			1	2			5						2	2

Uses a module listed above itPart of a loopThe module itself

At a glance — Code Health · 68% · Adequate · gated by X4 ·

The Good

D1 · Python Cyclomatic Complexity 7.9 D3 · Python God Classes 8.6 D4 · Python Code Duplication 9.7 D17 · Python Explicit Debt 9.6 X1 · Repo Async correctness 10.0 X12 · Repo Unreachable branch 10.0 X13 · Repo Undrained process stream 10.0 X16 · Repo Unfloored truncation loop 10.0 X18 · Repo Disposal-pattern correctness 10.0 X19 · Repo Unrestored process-global state 10.0 X21 · Repo Side-effecting pattern guard 10.0 X22 · Repo Contradicted release guard 10.0 X23 · Repo Unguarded diagnostic materialisation 10.0 X25 · Repo Inert configuration knob 10.0 X26 · Repo Unsynchronised callback handoff 10.0 X28 · Repo Index access outside its own emptiness guard 10.0 X29 · Repo Per-element action decided by a fixed element 10.0 X3 · Repo Exception handling 6.9 X30 · Repo Support guard that admits what it rejects 10.0

The Bad

D2 · Python Cognitive Complexity 6.4 X27 · Repo Collection changed while being enumerated 5.8

The Ugly

X4 · Repo Structured logging 3.7

At a glance — Architecture · 83% · Adequate · gated by D26 ·

The Good

D6 · Python Cohesion (LCOM4) 8.5 D35 · Python Change Coupling 10.0 AX10 · Repo Code composition 10.0 AX3 · Repo Project dependency cycles 10.0 AX4 · Repo Dependency direction 10.0

The Ugly

D26 · Python Project Cohesion 0.0

At a glance — Maturity · 44% · Adequate · gated by M2 ·

The Good

D15 · Python Churn × Complexity Hotspots 9.9 D16 · Python Bus Factor 9.5 D19 · Python Documentation Quality 10.0 D34 · Python Knowledge Freshness 7.2 M3 · Repo Folder & project structure 8.0

The Bad

M1 · Repo Documentation (README) 5.2

The Ugly

D20 · Python ADR Quality 0.0 M2 · Repo Architecture documentation 0.0

At a glance — Readiness · 81% · Strong ·

The Good

D9 · Python Test Distribution 10.0 D13 · Python Secret Scanning 10.0 D14 · Python License Compliance 10.0 P1 · Repo CI/CD gates 10.0 P10 · Repo Library API & versioning 10.0 P2 · Repo Observability 7.0 P3 · Repo Security & performance tooling 7.0 P4 · Repo Deployment & Rollback 7.0 P6 · Repo Release Hygiene 10.0

At a glance — Security · 69% · Adequate · gated by D29, D36 ·

The Good

D28 · Python Secrets (history) 10.0 D30 · Python Dependency Vulnerabilities 8.1 D31 · Python IaC & Container Security 9.7 D43 · Python Malicious Dependencies 10.0 D44 · Python Platform End-of-Life 10.0 X14 · Repo Bypassable address classification 10.0 X15 · Repo Unvalidated length from an untrusted reader 10.0 X24 · Repo Document value interpolated into markup unescaped 10.0

The Ugly

D29 · Python Static Analysis (SAST) 0.5 D36 · Python Supply-chain Provenance & Signing 0.0 X17 · Repo Uncapped recursion over a caller-supplied document 3.5

Security & Compliance — OWASP Top-10 mapping

Findings mapped to OWASP categories; the specific CVEs/secrets are in the Security dimension cards below and findings.md (redacted only on the public version of this report).

OWASP category	Findings	Severity
A05:2025 — Injection	55	High / Critical
A03:2025 — Software Supply Chain Failures	11	High / Critical
A02:2025 — Security Misconfiguration	3	Medium

Roadmap

First, establish architectural clarity by resolving the missing ADR quality finding and documenting significant design decisions in a dedicated folder. Next, improve code maintainability by removing thirty-three orphaned files, prioritizing X11.py, opengl_surface.py, and three_d_camera.py, followed by four additional orphaned knowledge items. Finally, update the repository README to include a clear Testing section that explains how to run the test suite.

Ranked by impact ÷ effort. "Helps" is the estimated gain on the 0–100 health score.

Do this	Helps	Effort	Dimension
Resolve the 1 No ADRs found finding(s) in ADR Quality.	+13.7 pts	Low	ADR Quality
Record your significant design decisions. Write one short document per decision, giving its date, the situation, the decision and its consequences, and keep them together with your other design documents. A docs/adr folder with each file named by number and title is the easiest place to find them.	+12.2 pts	Medium	Architecture documentation
Resolve the 4 Orphaned knowledge finding(s) in Knowledge Freshness — start with XKCD.py, tex_templates.py, creation.py.	+3.2 pts	Low	Knowledge Freshness
Explain in the README how to run the tests. Add a section called Testing to the README in the repository's top folder, saying how to run the test suite.	+5.3 pts	Medium	Documentation (README)
Resolve the 33 Orphaned file finding(s) in Knowledge Freshness — start with X11.py, opengl_surface.py, three_d_camera.py.	+3.8 pts	Medium	Knowledge Freshness
Interpolated log message defeats structured logging	+2.3 pts	Medium	Structured logging
Group production code under src/ (or split deliberately, e.g. backend/ + frontend/) so production and tooling code aren't mixed at the root.	+1.7 pts	Medium	Folder & project structure
Resolve the 1 Projects may be oversized for their cohesion finding(s) in Project Cohesion.	+0.7 pts	Low	Project Cohesion

File quality

Per-file score 0–10 — a quality signature. Of 78 files carrying findings, judged against the Preview bar: 4% slop · 49% mixed · 47% near-clean.

File	Score	Band	Worst signal
REDACTED	1.3	Slop	Static Analysis (SAST): High: REDACTED
REDACTED	2.3	Slop	Static Analysis (SAST): High: REDACTED
REDACTED	2.3	Slop	Static Analysis (SAST): High: REDACTED
REDACTED	3.0	Mixed	Static Analysis (SAST): High: REDACTED
REDACTED	3.7	Mixed	Static Analysis (SAST): High: REDACTED
REDACTED	4.0	Mixed	Static Analysis (SAST): Medium: REDACTED
REDACTED	4.6	Mixed	Static Analysis (SAST): High: REDACTED
REDACTED	4.8	Mixed	Static Analysis (SAST): High: REDACTED
REDACTED	4.8	Mixed	Static Analysis (SAST): High: REDACTED
REDACTED	5.4	Mixed	Static Analysis (SAST): Medium: REDACTED
REDACTED	5.8	Mixed	Dependency Vulnerabilities: Critical vulnerability: REDACTED
manim/mobject/matrix.py	5.9	Mixed	Code Duplication: Duplicated block (27 lines × 2)
manim/utils/docbuild/module_parsing.py	6.0	Mixed	Explicit Debt: TodoComment
manim/mobject/text/text_mobject.py	6.0	Mixed	Explicit Debt: TodoComment
manim/scene/scene.py	6.0	Mixed	Explicit Debt: TodoComment
manim/_config/utils.py	6.0	Mixed	Explicit Debt: TodoComment
manim/mobject/vector_field.py	6.0	Mixed	Explicit Debt: TodoComment
manim/mobject/types/vectorized_mobject.py	6.0	Mixed	Explicit Debt: TodoComment
manim/mobject/geometry/line.py	6.0	Mixed	Explicit Debt: TodoComment
manim/mobject/graphing/coordinate_systems.py	6.0	Mixed	Explicit Debt: TodoComment

How the grades work

Every finding carries one of four grades. Three say how serious it is. The fourth says this survey could not settle it — and it is a grade, not a gap.

Critical — 56

A definite problem that already costs you something and drags the score down: a missing authorisation check, a dependency with a known exploit, a build that does not reproduce. Failure here tends to cause failures elsewhere.

Serious — 297

Likely wrong, but not failing yet. It degrades the codebase over a longer horizon and can cause failures elsewhere — not urgent this week, not something to carry for two years either.

Minor — 67

Recorded, with no effect on how the codebase functions. Present so the survey is complete, not because it needs doing.

Could not be resolved — 17

Something this survey could not settle from the outside, and which could be critical or serious. Either a control was required and no positive evidence of it exists in the repository — a backup job that nothing shows was ever restored from proves nothing about restores — or our own analysis could not run over that part of the tree. This is not a clean result. These are excluded from the score rather than awarded a pass, so the number on the cover neither rewards nor penalises them: if you act on this survey without resolving them, you carry that risk yourself. Each one is named under Limitations.

Methodology & how to trust this report

Watchdog is a deep, periodic assessment — run each sprint, monthly, or quarterly, taking the time to go wider and deeper than a quick check and surfacing in one coherent report what you'd otherwise piece together from a dozen separate tools. It scores deterministically: the same commit yields the same score, every run. 56 of 56 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); none rely on LLM judgement. Overall confidence is 0.9 — the weighted average across measured dimensions; it falls as more of the score leans on LLM-assisted judgement and rises when it's fully tool-backed.

Every figure here is one of three kinds, and we label which: ✓ Measured — a deterministic fact (LoC, complexity, coverage); ~ Modeled — an estimate from a stated model (cost, effort, value-at-risk), always a range with its assumptions, never a precise fact; ◐ Advisory — an LLM prose judgement. We never present a modelled estimate as if it were measured. Perfect or absent scores carry their provenance too (ADR-0011): ✓ Tool-verified means the property itself was measured across the surface; ○ Nothing flagged means the probes came back clean — a claim bounded by what a repository can show; ⊘ Not evidenced means a working control (a tested restore, an automated rollback) showed no positive evidence — absence of evidence is not evidence of a control, so it's excluded from the score rather than awarded a spurious 10; ◐ Sampled · advisory marks an LLM verdict over a bounded sample — advisory, never a deterministic measurement.

What we checked — 56 dimensions across the health lenses

D1D2D3D4D6D9D13D14D15D16D17D19D20D26D28D29D30D31D34D35D36D43D44AX10AX3AX4M1M2M3P1P10P2P3P4P6X1X12X13X14X15X16X17X18X19X21X22X23X24X25X26X27X28X29X3X30X4

Each chip is a dimension scored from real signals across architecture, testing, dependencies, security & compliance, documentation, git-history and code quality — in one coherent pass. A surface report typically covers a handful.

How to trust any code-health report — three questions

Can you open the finding? Real findings cite a repo-relative file and line you can open at the cited line — never an absolute scratch path. Here, 406 of 420 do; the remainder are repo-wide signals — a dimension-level measurement, not a single line. (Every path in this report is repo-relative by construction: paths are normalized at the producer and the report is rejected if any rooted path leaks through.)
Is there a tool behind the number? Every score below names the method that produced it — Roslyn, git, a scanner, or (for a handful of documentation/naming dimensions) an LLM labelled sampled · advisory — not a narrative.
Does re-running give the same result? Run it again on the same commit and the score — and this report, byte for byte — is identical. A report whose numbers move between runs is describing the run, not the code.

This report answers yes to all three. That's the bar to hold any assessment to.

Tools & methods

The actual versions used this run (captured at analysis time) — re-run on the same commit for the identical score.

Method	Backs	Version	Evaluator
Roslyn static analysis	Complexity, cohesion, coupling, dead code, API surface, layering	5.3.0	✓ deterministic
Native secret scanner	Hardcoded secrets / credentials	1.0.0	✓ deterministic
Watchdog duplication detector (in-process)	Code duplication	1.0.0	✓ deterministic
Coverage (coverlet / dotnet-coverage)	Line & branch coverage	10.0.400	✓ deterministic
NuGet / dotnet	Outdated, vulnerable & deprecated dependencies	10.0.400	✓ deterministic
git / LibGit2Sharp	Churn hotspots, knowledge concentration, history	2.43.0 · 0.31.0	✓ deterministic
gitleaks · semgrep · trivy · checkov	Secrets in history, SAST, CVEs, IaC & container, PII / GDPR	1.86.0 · 0.69.3 · 3.2.533	✓ deterministic
LLM (sampled · advisory)	Documentation quality, ADR conformance, naming — sampled over a bounded sample; advisory, never a deterministic measurement	—	◐ LLM · sampled · advisory

Every finding is locatable in findings.md. Run 01a171ff-7dbf-7e65-8123-70695604468b.

The exact command behind every deep-scan dimension — tool, version, invocation and retained raw output — is in Appendix B — Reproduction & audit trail.

Run transparency — what happened this run

What ran differently this time — a tool absent, degraded, or that fell back to an estimate. Named openly, not folded silently into the scores. A degraded run also records its exact cause in diagnostics.md.

D8 Code Coverage — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Coverage NOT READ here — but this repository measures it: a Codecov configuration (.codecov.yml, target 1%) and a coverage step in CI (`pytest -v --cov`) shows that coverage is collected and tracked in your own CI. The built-in collector has no runner for this ecosystem (.py), so the analyzer could not read the number — a gap in the analyzer's language coverage, not an unmeasured repo. Not scored. To have the real number read, produce a coverage report in a standard format (`coverage run -m pytest` then `coverage xml`) and commit it — a hosted scan measures a clone of the repository, so a report that exists only in a working tree, a CI runner's or your own, never reaches it; the artefact is commonly gitignored, so `git add -f` that one file (or un-ignore its path) and commit it alongside the code it measures. You can widen what we reach: optional: produce a coverage report in a standard format (`coverage run -m pytest` then `coverage xml`) and commit it — a hosted scan measures a clone of the repository, so a report that exists only in a working tree, a CI runner's or your own, never reaches it; the artefact is commonly gitignored, so `git add -f` that one file (or un-ignore its path) and commit it alongside the code it measures — then the real number is read on the next scan.
D11 Test Reliability — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Test source is present (.py) and this repository declares a Python test suite (repository root, 142 test files), but it was not re-run: no test result was produced. Not scored — this is a gap in the analyzer's language coverage, not a finding about this repository.
D12 Dependency Hygiene — not measured this run — This is a true statement about the repository that carries nothing for its owner to act on, so it is reported here rather than as a defect in their code. This repository's 26 shipped Python distribution(s) across 2 manifest(s) WERE read; what went unanswered is the currency half, because it grades an EXACT pin against the newest release and every declaration here is a floor or a range — which installs the newest release it admits and so cannot be behind one. So pypi.org was never asked. This is a true statement about the repository, and the healthy one, NOT a gap on our side: no reader we could write would find a currency question here.
D19 Documentation Quality — measured, with a gap in what it reached — Watchdog measured this, but not all of it. What it did not reach is a gap on our side — a collector, parser or image we have not built yet — so the numbers on that dimension cover less than the repository, and the part left out is not evidence that it would have passed. Each ecosystem's manifests (what makes a folder runnable or a published package) need their own proof before D19 judges its units. Until then those folders' READMEs are judged only as documents (boilerplate, structure), never counted as complete.
D21 Naming Consistency — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. D21's deterministic naming rules are gated on C# first (docs/plans/deterministic-engine.md, P5): each other language is switched on only after its own concept suite and A/B gate pass. Until then its declarations carry no naming verdict this run — this says nothing about whether its names are consistent.
D22 Internal API Consistency — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. D22 identifies the intentionally-exposed surface from `IsPackable` and `.Contracts` project names, MSBuild conventions read off the loaded project set. This target exposed no such projects, so the probe never ran; this says nothing about whether the repository has a public API. This repository commits no C#/VB source at all, so there was never an MSBuild project set to read these conventions off. That is OUR side and it is an ADMISSION gap, not an environment fault: no published-package marker D22 reads admitted any project here. D22 DOES collect the public API of every language in this tree, and admits a project only when its manifest makes that ecosystem's publication act in a form the marker recognises — so what is missing is not a collector but an admission rule for the publication act this repository makes, if it makes one. The remedy is a better discriminator for that marker — not a collector, and no change to the scan image can close it. The marker's rules are measured to refuse applications, so one refused repository is the rule working as calibrated; several are the evidence that it is too strict. For npm the surface is what a published package.json's entry points (exports, main, module, types) export, followed through the source; an entry that names build output the tree does not commit (dist/, build/) is not followed back to source, because only a tsconfig outDir/rootDir pair states that mapping and a bundler's input lives in executable configuration this engine does not evaluate.
D24 Comment Value — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check's reader does not cover the language this repository's product is written in, so it had nothing of the product to read. That is a gap in this analyzer's language reach — not a finding about this repository.
D27 Navigability — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Navigability is taken over call sites whose callee resolved. For C# that population includes calls into referenced assemblies; for this language only calls declared inside the repository count, so the abstention threshold reads the repository's use of its standard library as a resolution failure. That is a limit of this analyzer, not a build problem in this repository.
AX6 Interface segregation — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check is computed over the public interfaces this run's compilations declare, and none was loaded, so it had nothing to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
AXR1 Runtime accessibility — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. Render strategy: boot via REDACTED (REDACTED). docker build failed (exit 1) — 2 | >>> FROM python:3.14-slim AS builder 3 | 4 | RUN apt-get update -qq \ -------------------- ERROR: failed to solve: python:3.14-slim: failed to resolve source metadata for docker.io/library/python:3.14-slim: failed to do request: Head "https://registry-1.docker.io/v2/library/python/manifests/3.14-slim": Forbidden; runtime evidence skipped.
C1 Data Protection — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. These personal data controls are read from declarative annotations, request middleware, entity/column names and guard methods in a C# source model, and none was loaded on this run, so there was nothing to gather. That is a gap in this analyzer's language reach — not a finding that the repository lacks personal data controls.
C3 Audit Trail — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. 'sqlite3' is imported (manim/scene/scene.py:1484), but no entity, schema, table or model declaration this check reads was found beside it, so whether personal data is stored could not be decided.
C4 Data Retention — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. 'sqlite3' is imported (manim/scene/scene.py:1484), but no entity, schema, table or model declaration this check reads was found beside it, so whether personal data is stored could not be decided.
C5 Data-Subject Rights — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. 'sqlite3' is imported (manim/scene/scene.py:1484), but no entity, schema, table or model declaration this check reads was found beside it, so whether personal data is stored could not be decided.
GD1 Unfinished & placeholder code — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check reads C# syntax, F#, JavaScript/TypeScript, Dart, Ruby and Scala source only, and this repository's Python is most of its product and is not read yet, so it had nothing of this repository's product to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
IC1 Incompleteness & stubs — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check reads C# syntax, JavaScript/TypeScript, Java, Dart, Ruby and Scala source only, and this repository's Python is most of its product and is not read yet, so it had nothing of this repository's product to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.
P5 DR & Backup — not measured this run — This is a true statement about the repository that carries nothing for its owner to act on, so it is reported here rather than as a defect in their code. No backup/snapshot/replication config, RTO/RPO or restore-procedure documentation was found — and no production persistence was detected either (no data-access packages, no data-store services, no database resources), so there is nothing in this repository whose loss a DR control would recover. If this system's data lives in a platform or ops repo we can't see, that's where the DR evidence belongs.
S1 Web-Security Posture — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. These web-security controls are read from declarative annotations, request middleware, entity/column names and guard methods in a C# source model, and none was loaded on this run, so there was nothing to gather. That is a gap in this analyzer's language reach — not a finding that the repository lacks web-security controls.
X5 Nullable reference types — not measured this run — Watchdog could not measure this here. That is a gap on our side — a collector, parser or image we have not built yet — and it is neither a defect in this repository nor evidence that the check would have passed. This check reads C# syntax and MSBuild project configuration, TypeScript source and its tsconfig files, Java source and its package and module declarations, PHP source and its PHPStan and Psalm configuration, Dart source and its pubspec language version, Ruby source and its Sorbet and Steep configuration, Scala source and its build's explicit-nulls, WartRemover and Scalafix settings, and Kotlin source only, and no C# was loaded, no TypeScript was found, and this repository's Python is not read yet, so it had nothing of this repository's product to read. That is a gap in this analyzer's language reach — not a finding that the repository is free of what this check looks for.

Repo exclusion declarations: 1 pattern(s) declared (.gitattributes linguist-generated/vendored, .editorconfig generated_code) excluded 0 source file(s) from code-quality scoring. Declarations are the repo's own visible statement that a tree is machine-written or vendored — auditable in any diff, honored by GitHub the same way.

Limitations & what we did not check

Watchdog assesses the repository exactly as committed, and only the repository. By design it does not reach outside the source tree: the live cloud account, the running CI/CD pipeline, the host's branch-protection and approval rules, the production configuration, or a restore actually exercised against a backup are all out of scope. That boundary is a feature, not a gap — a repo-relative, deterministic scan re-runs identically on any commit and every finding opens at a real file and line, where a live audit can neither be reproduced nor traced. The visible consequence is that controls which leave no in-repo evidence are reported as "not evidenced" and excluded from the score rather than awarded a number a static scan cannot justify.

Per-dimension blind spots

For each dimension that was measured, what a static, repo-only scan structurally cannot see — the honest edge of the measurement, not a failure of it.

D1 Cyclomatic Complexity: Cyclomatic complexity counts branches statically — it cannot tell an essential decision tree from accidental tangle, nor see complexity that lives in data or configuration (large switch-case token tables, DSL lexers/parsers, data-as-code rule tables) rather than control flow: a tokenizer's many single-character cases read as high complexity though each branch is trivial.
D2 Cognitive Complexity: Cognitive-complexity heuristics approximate how hard code is to follow; genuine domain difficulty and well-named intent that eases reading are not captured.
D3 God Classes: "God class" is sized by members and responsibilities visible in the type — a deliberately broad facade over a coherent subsystem can read the same as an accidental grab-bag. For front-end JS the file-length check is cohesion-aware (a single-responsibility module — one class/IIFE — earns a 3× threshold), but cohesion is approximated from top-level declarations, not true dependency structure.
D4 Code Duplication: Duplication is token-similarity — an in-process token-stream comparison over sliding windows, with type-aware normalization — so it finds copy-paste, not semantic duplication expressed differently. Committed machine-written code (scaffolded migrations, designer/codegen output, protobuf/OpenAPI stubs, model snapshots) is EXCLUDED — its repetition is the tool's, not the team's — so the score reflects hand-written duplication only.
D6 Cohesion (LCOM4): LCOM4 cohesion is syntactic — it infers connectivity from which methods touch which fields/methods by name, not from real runtime behaviour or intent.
D9 Test Distribution: The test-pyramid shape is inferred from project/folder naming and references, with a single test host bucketed per-file by its path tier and content signals — a suite that names tiers unconventionally and gives no per-file signal can still be mis-bucketed.
D13 Secret Scanning: Secret detection is signature- and entropy-based on the current tree — a secret that does not match a known pattern, or one already rotated, will not be flagged (a clean scan is "nothing matched", not "no secrets exist").
D14 License Compliance: License compatibility is checked against declared package metadata and a policy — mislabelled or missing license metadata, and obligations that depend on how you distribute, are not resolved here.
D15 Churn × Complexity Hotspots: Churn hotspots come from git history — a freshly imported or squashed repository has no churn signal, and recent rewrites can mask a historically risky file.
D16 Bus Factor: Bus-factor is a time-decayed model of commit attribution (who has recently, repeatedly worked a file), not comprehension — pairing, review and reading-without-committing spread knowledge it can't see; bot commits and shared accounts still distort it.
D17 Explicit Debt: Acknowledged-debt signals (TODO/FIXME, suppressions, dead code) are textual — undocumented debt that nobody marked, and debt that lives in design rather than annotations, is invisible. Committed machine-written code (scaffolded migrations, designer/codegen output, generated stubs) is excluded — it is never the team's dead code to delete.
D19 Documentation Quality: Documentation quality publishes two things only: a runnable or packaged unit with no example, and a multi-project root README that maps none of its parts. It does not judge clarity, and its other checks (overview, licence, boilerplate, structure, empty sections, XML-doc coverage) are withheld after adjudication: their candidates are counted in the card's gaps, not shown as rows. A false statement in a document is M4's; units are .NET projects only.
D20 ADR Quality: ADR quality is an LLM read of the decision records present — it cannot know about decisions made and never recorded, and its verdict is sampled and advisory.
D26 Project Cohesion: Project focus is sized from members/namespaces per project — a project that is broad by deliberate design reads the same as one that has sprawled.
D28 Secrets (history): Secret-history scanning sweeps the git log for known patterns — a secret that predates the available history, or never matched a signature, is not found (clean means "nothing matched in the history we can see").
D29 Static Analysis (SAST): SAST findings are pattern-based (semgrep) — it finds classes of bug it has rules for; logic flaws, auth/authorization gaps and issues needing runtime context are out of reach (and clean means "no rule matched").
D30 Dependency Vulnerabilities: CVE matching depends on accurate package/version metadata and on the advisory databases — a vulnerability with no published advisory, or in code not declared as a dependency, is not seen. Coverage needs a RESOLVED graph: an unpinned requirements.txt, or a pom without a resolved build, yields partial coverage rather than a clean verdict. An ecosystem the analyzer cannot scan is reported as unmeasured, never as clean.
D31 IaC & Container Security: IaC scanning checks Dockerfiles/Terraform/Kubernetes against best-practice rules — it cannot see the live cloud account, runtime configuration, or drift between the committed config and what is actually deployed.
D34 Knowledge Freshness: Freshness is decayed commit RECENCY, not comprehension — code read often but rarely committed reads as orphaned, and stable code that genuinely needs no changes is penalised the same as forgotten code; bot/squash commits distort it like the bus factor.
D35 Change Coupling: Change coupling is co-change in COMMITS — files split across separate commits, or coupled only through a shared config/build step, read as uncoupled, and a sweeping commit (rename/format) is excluded so it doesn't couple everything. It shows that files change together, not WHY: a high coupling can be a healthy cohesive pair as readily as a hidden leak.
D43 Malicious Dependencies: Only packages some vulnerability database has already NAMED as malicious are seen — a compromise published in the last hours, or never reported at all, is invisible here, and this dimension reading 10 is not evidence that a dependency is trustworthy. There is no typosquat or dependency-confusion analysis: a package nobody has reported is simply absent from the feeds. Coverage is the dependency scan's: an ecosystem that could not be scanned is disclosed as unmeasured, never as clean.
D44 Platform End-of-Life: The support table is FROZEN, so it goes out of date by losing RECALL: a release that ended support after the table was written is missed until the table is refreshed, and this dimension reading 10 is not evidence that a platform is current. Only platforms the repository DECLARES in a place this pass reads are seen — a runtime named only in a REDACTED (D31's subject), in a CI workflow (D29's), or in a file this pass does not parse (go.mod, a Gemfile ruby directive) is invisible here, which is why a repository declaring none of them abstains rather than scoring. Only frameworks with a PUBLISHED support policy are tracked: React, Flask and Express publish none, so their age cannot be judged and their absence from a report is not a statement that they are supported.
AX10 Code composition: Role is inferred from namespace/folder convention, not semantics — a domain concept living in a folder named "Services" reads as application, and the split is lines-of-code, not business value. The business-logic-share score is a SOFT, FLOORED signal: it contributes to the Architecture lens but is floored at the Critical gate, so an infrastructure-heavy design (a gateway, an ETL, a driver) is legitimately low without being nuked to zero.
P4 Deployment & Rollback: Approval/branch-protection rules live in repository settings the scan cannot see — only their in-repo evidence (config files, workflows) is checked, so a control enforced purely in the host's settings reads as "not evidenced".
P6 Release Hygiene: Rollback/observability controls are inferred from repo artefacts (pipelines, dashboards-as-code) — controls configured in external tooling, with no in-repo trace, cannot be credited.

Dimensions

D1 · Cyclomatic Complexity7.9 / 10Strong✓ Tool-verified

What it measures: How tangled the control flow is — methods with many branches are hard to test and change.

Method: Cyclomatic complexity per method (1 + decision points), computed exhaustively across production source; test projects separated by convention. Deterministic.

Maturity: Documented → Verified → Prevented · effective 7.9 / 10 · rule-coverage 100% · ceiling Prevented

15 method(s) exceeded the cyclomatic complexity threshold of 15; the worst was module_parsing.parse_module_attributes at 35.

module_parsing.parse_module_attributes (cyclomatic 35)manim/utils/docbuild/module_parsing.py:62

Text.__init__ (cyclomatic 25)manim/mobject/text/text_mobject.py:448

MarkupText.__init__ (cyclomatic 24)manim/mobject/text/text_mobject.py:1181

Code.__init__ (cyclomatic 23)manim/mobject/text/code_mobject.py:172

output_plan.resolve_output_plan (cyclomatic 20)manim/_config/output_plan.py:250

+ 10 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

Bring the 1 body over 30 down to 30 or less in Cyclomatic Complexity — start with module_parsing.parse_module_attributes (cyclomatic 35). — Refactoring it lifts Cyclomatic Complexity from 7.9 to about 8.1/10.
Enforce Cyclomatic Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

Detailed fixes: d1_recommendation.md · top locations in Appendix A, every location in findings.md.

Do you agree with this assessment?

D2 · Cognitive Complexity6.4 / 10Adequate✓ Tool-verified

What it measures: How hard the code is for a person to follow, beyond raw branching.

Method: Cognitive complexity per method (Sonar-style nesting-penalized score), computed exhaustively over production code, excluding test projects. Deterministic.

Maturity: Documented → Verified → Prevented · effective 6.4 / 10 · rule-coverage 100% · ceiling Prevented

44 method(s) exceeded the cognitive complexity threshold of 15; the worst was module_parsing.parse_module_attributes at 68.

module_parsing.parse_module_attributes (cognitive 68)manim/utils/docbuild/module_parsing.py:62

group.write (cognitive 49)manim/cli/cfg/group.py:167

Scene.interact (cognitive 40)manim/scene/scene.py:1523

QuickHull.build (cognitive 38)manim/utils/qhull.py:188

AliasAttrDocumenter.run (cognitive 37)manim/utils/docbuild/autoaliasattr_directive.py:100

+ 39 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

Bring the 1 body over 60 down to 60 or less in Cognitive Complexity — start with module_parsing.parse_module_attributes (cognitive 68). — Refactoring it lifts Cognitive Complexity from 6.4 to about 6.5/10.
Enforce Cognitive Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

Detailed fixes: d2_recommendation.md · top locations in Appendix A, every location in findings.md.

Do you agree with this assessment?

D3 · God Classes8.6 / 10Strong✓ Tool-verified

What it measures: Over-large classes that try to do too much ("god classes").

Method: God-class detection by line and method-count thresholds per logical type (partial classes unified), filtered for generated code and registration/contract false positives. Deterministic.

Maturity: Documented → Verified → Prevented · effective 8.6 / 10 · rule-coverage 100% · ceiling Prevented

27 god class(es) detected.

FileTooLong: opengl/opengl_mobject.py · ×19manim/mobject/opengl/opengl_mobject.py

TooManyMethods: OpenGLMobject · ×8manim/mobject/opengl/opengl_mobject.py:117

What to do

Resolve the 19 FileTooLong finding(s) in God Classes — start with opengl_mobject.py, coordinate_systems.py, mobject.py. — One of this dimension's main actionable groups (19 warning-level).
Resolve the 8 TooManyMethods finding(s) in God Classes — start with opengl_mobject.py, mobject.py, opengl_vectorized_mobject.py. — One of this dimension's main actionable groups (8 warning-level).
Enforce God Classes in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

Detailed fixes: d3_recommendation.md · top locations in Appendix A, every location in findings.md.

Do you agree with this assessment?

D4 · Code Duplication9.7 / 10Stronggated by 44 serious findings✓ Tool-verified

What it measures: Copy-pasted code that should be shared instead.

Method: Code duplication via token-stream sliding windows with type-aware normalization (locals masked, type names preserved), density-scored per KLoC of production code. Deterministic.

Maturity: Documented → Verified → Prevented · effective 9.7 / 10 · rule-coverage 100% · ceiling Verified

43 duplicated block group(s) detected. One further row reports members as variants of one another; it aggregates block groups already counted above and is not itself counted.

Duplicated block (8 lines × 2) · ×5manim/mobject/mobject.py:168

Duplicated block (15 lines × 2) · ×3manim/mobject/geometry/arc.py:364

Duplicated block (5 lines × 2) · ×3manim/mobject/mobject.py:2009

Duplicated block (28 lines × 2) · ×2manim/mobject/mobject.py:2078

Duplicated block (18 lines × 2) · ×2manim/mobject/opengl/opengl_vectorized_mobject.py:1238

+ 23 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

Resolve the 5 Duplicated block (8 lines × 2) finding(s) in Code Duplication — start with mobject.py (2), arc.py (2), text_mobject.py. — One of this dimension's main actionable groups (5 warning-level).
Resolve the 3 Duplicated block (15 lines × 2) finding(s) in Code Duplication — start with opengl_vectorized_mobject.py (2), arc.py. — One of this dimension's main actionable groups (3 warning-level).
Resolve the 3 Duplicated block (5 lines × 2) finding(s) in Code Duplication — start with mobject.py (2), line.py. — One of this dimension's main actionable groups (3 warning-level).
Enforce Code Duplication in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Verified — provenance only; does not change the score.

Detailed fixes: d4_recommendation.md · top locations in Appendix A, every location in findings.md.

Do you agree with this assessment?

D6 · Cohesion (LCOM4)8.5 / 10Strong✓ Tool-verified

What it measures: Whether a class's methods are focused on a single responsibility.

Method: LCOM4 cohesion per production class with at least two methods: connected components of methods sharing state or calls, computed syntactically. Deterministic, not a proxy.

Coverage: Exhaustive · type-level: LCOM4 cohesion computed over every production class — the population is all types, not a name convention.

Maturity: Documented → Verified → Prevented · effective 8.5 / 10 · rule-coverage 100% · ceiling Verified

12 of 97 classes have LCOM4 above 3.

Low cohesion: VMobject (LCOM4 8) · ×12manim/mobject/types/vectorized_mobject.py:81

What to do

Resolve the 12 Low cohesion finding(s) in Cohesion (LCOM4) — start with vectorized_mobject.py, mobject.py, opengl_mobject.py. — One of this dimension's main actionable groups (12 warning-level).
Enforce Cohesion (LCOM4) in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Verified — provenance only; does not change the score.

Detailed fixes: d6_recommendation.md · top locations in Appendix A, every location in findings.md.

Do you agree with this assessment?

D9 · Test Distribution10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether the test suite has a healthy mix of unit / integration / end-to-end tests.

Method: Test projects classified (Unit/Integration/BDD/E2E) from compiled metadata; test methods counted exhaustively across projects with placement-agnostic disk fallback. Deterministic.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

1195 test methods: 1195 unit, 0 integration, 0 BDD, 0 e2e. The Python suite contributes 1195 test function(s) across 141 file(s) declaring at least one — every `def test…` in a file pytest or unittest would collect, which is those frameworks' own definition of a case; a parametrize table counts once, so this is a floor. Its tier split is read from file names and paths only.

✓ On the Gold path — maintain.

Detailed fixes: d9_recommendation.md.

Do you agree with this assessment?

D13 · Secret Scanning10.0 / 10Exemplary○ Nothing flagged

What it measures: Whether any secrets (keys, tokens, passwords) have leaked into the code.

Method: In-process native secret scanner (entropy plus signature patterns) across all tracked files; no external tool. A clean result is a measured 10, not no-data zero. Deterministic.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Prevented

Secret scan ran and found no leaked secrets.

✓ On the Gold path — maintain.

Detailed fixes: d13_recommendation.md.

Do you agree with this assessment?

D14 · License Compliance10.0 / 10Exemplary○ Nothing flagged

What it measures: Whether the licenses of third-party packages are compatible with your policy.

Method: Third-party package licenses resolved from declared package metadata and checked against the configured policy (allow/deny/copyleft). Deterministic; clean = no incompatible license found at metadata depth.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Verified

0 of 37 shipped Python distribution(s) use a banned license. Licences were resolved from PyPI over the distributions a consumer installs — this repository's 26 declared runtime requirement(s) closed transitively over each distribution's published `requires_dist` (11 reached that way). Requirements it states ONLY under an extra, a PEP 735 dependency group, a Poetry dev group or a dev-named requirements file are excluded: pip does not install any of them for a consumer. ★ This repository commits no dependency lockfile that this pass reads, so each licence is the one PyPI publishes for the distribution's CURRENT release rather than for a pinned version. 3 of them publish no licence on PyPI this pass can read; that is missing data, not a violation, and none of them is charged. This repository publishes itself under MIT, which is its own choice and is not judged here.

✓ On the Gold path — maintain.

Detailed fixes: d14_recommendation.md.

Do you agree with this assessment?

D15 · Churn × Complexity Hotspots9.9 / 10Stronggated by 6 serious findings✓ Tool-verified

What it measures: Files that change often and are also complex — the riskiest hotspots.

Method: Per production file churn times cyclomatic complexity over a rolling window, computed from git and Roslyn/JS/Razor analysis. Exhaustive, deterministic per commit date.

Maturity: Documented → Verified → Prevented · effective 9.9 / 10 · rule-coverage 100% · ceiling Documented

Top hotspots: manim/_config/utils.py (7×19=133); manim/mobject/text/code_mobject.py (4×23=92); REDACTED (3×16=48) Repeated repair below the complexity floor: manim/mobject/geometry/line.py (3 of 4 changes were fixes); manim/utils/space_ops.py (3 of 4 changes were fixes)

Hotspot: manim/_config/utils.py · ×4manim/_config/utils.py:719

Repeated repair: manim/mobject/geometry/line.py · ×2manim/mobject/geometry/line.py:981

What to do

Resolve the 4 Hotspot finding(s) in Churn × Complexity Hotspots — start with utils.py, code_mobject.py, REDACTED. — One of this dimension's main actionable groups (4 warning-level).
Resolve the 2 Repeated repair finding(s) in Churn × Complexity Hotspots — start with line.py, space_ops.py. — One of this dimension's main actionable groups (2 warning-level).

Detailed fixes: d15_recommendation.md · top locations in Appendix A, every location in findings.md.

Do you agree with this assessment?

D16 · Bus Factor9.5 / 10Exemplary✓ Tool-verified

What it measures: Whether knowledge is concentrated in too few people (the "bus factor").

Method: Living knowledge per author via time-decayed commit attribution (6-month half-life, focus weighting) across largest source files. Deterministic, avoids blame's mechanical-refactor false positives.

Maturity: Documented → Verified → Prevented · effective 9.5 / 10 · rule-coverage 100% · ceiling Documented

6 source file(s) have their living knowledge concentrated in one author (≥90% of recent, decayed contribution). The largest is scripts/release.py. Counted over 133 of the 186 production source files in this repository: the rest are under the ~2,400-byte size floor this dimension measures over.

Off-boarding risk: anonymized user #1

Further sole-owners (lower concentration)

✓ On the Gold path — maintain.

Detailed fixes: d16_recommendation.md · top locations in Appendix A, every location in findings.md.

Do you agree with this assessment?

D17 · Explicit Debt9.6 / 10Stronggated by 129 serious findings✓ Tool-verified

What it measures: Acknowledged debt left in the code — TODOs, dead code, suppressed warnings.

Method: Roslyn syntactic debt markers (suppressions/TODO/FIXME/HACK/empty-catch/commented-code/Obsolete) plus SymbolFinder dead-code analysis; weighted-debt-per-KLoC density deducted 2.0x per unit. Deterministic, exhaustive.

Maturity: Documented → Verified → Prevented · effective 9.6 / 10 · rule-coverage 100% · ceiling Prevented

129 deducted task-comment markers across 66254 LoC (0.2/KLoC) → score 9.6. Task comments only: this repository's language is read without a compiler, so D17's suppression, dead-code and commented-out-code arms did not run and this score counts fewer marker kinds than a .NET repository's would.

TodoComment · ×128tests/utils/video_tester.py:113

FixmeCommentmanim/animation/creation.py:280

What to do

Resolve the 128 TodoComment finding(s) in Explicit Debt — start with opengl_mobject.py (12), vectorized_mobject.py (11), vector_space_scene.py (10). — One of this dimension's main actionable groups (128 warning-level).
Resolve the 1 FixmeComment finding(s) in Explicit Debt — start with creation.py. — One of this dimension's main actionable groups (1 warning-level).
Enforce Explicit Debt in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

Detailed fixes: d17_recommendation.md · top locations in Appendix A, every location in findings.md.

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D19 · Documentation Quality10.0 / 10Exemplary○ Nothing flagged

What it measures: Whether the project's documentation is clear, complete, and useful.

Method: Every README, docs/ document and root guide parsed by its markup and measured in Unicode letters. Published: a runnable or packaged .NET project whose README (or a document it links, or a root guide) shows no example, and a root README naming none of three or more projects. Overview, licence, boilerplate, wall-of-text, empty-section and XML-doc rows are measured and withheld (counted in gaps) after adjudication. Deterministic, exhaustive, advisory.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

1 of 1 documentation facets pass in full. 49 document(s) read across 1 unit(s).

✓ On the Gold path — maintain.

Detailed fixes: d19_recommendation.md.

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D20 · ADR Quality0.0 / 10Critical✓ Tool-verified

What it measures: Whether architecture decisions are recorded well (context, decision, consequences).

Method: Per-ADR judgment by language model at low temperature with two-pass stability; confidence is share of ADRs evaluated; enforcement-field presence detected deterministically. Advisory.

Maturity: Documented → Verified → Prevented · effective 0.0 / 10 · rule-coverage 100% · ceiling Documented

No architecture decision records were found.

No ADRs found

What to do

Resolve the 1 No ADRs found finding(s) in ADR Quality. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d20_recommendation.md · top locations in Appendix A, every location in findings.md.

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D26 · Project Cohesion0.0 / 10Critical✓ Tool-verified

What it measures: Whether each project is a focused, coherent unit rather than an oversized grab-bag.

Method: Project size overshoot penalties (LoC / public-type count / namespace count, 2-of-3 flag) weighted by log magnitude. Exhaustive across projects, deterministic, LLM-independent.

Maturity: Documented → Verified → Prevented · effective 0.0 / 10 · rule-coverage 100% · ceiling Documented

1 of 2 build units (Python) flagged as possibly oversized/incoherent.

Projects may be oversized for their cohesion

What to do

Resolve the 1 Projects may be oversized for their cohesion finding(s) in Project Cohesion. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d26_recommendation.md · top locations in Appendix A, every location in findings.md.

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D28 · Secrets (history)10.0 / 10Exemplary○ Nothing flagged

What it measures: Whether any secrets were ever committed — scanned across the full git history, not just now.

Method: Secret scan via TWO gitleaks detect passes in an isolated checkout — the full git history, then a second --no-git pass over the working tree as it stands — merged and de-duplicated by (rule, file, line); each match flagged High. Both invocations are recorded in the audit trail. Exhaustive; when the tool is absent, or when its output cannot be parsed into the expected shape, the dimension is WITHHELD as an explicit measurement gap on our side — unscored and excluded from the lens, never a hedged middling score.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

gitleaks scanned the full history AND the current working tree and found no secrets.

✓ On the Gold path — maintain.

Detailed fixes: d28_recommendation.md.

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D29 · Static Analysis (SAST)0.5 / 10Critical✓ Tool-verified

What it measures: Real static-analysis (SAST) findings — likely security bugs in the code, any language.

Method: Polyglot static analysis via semgrep across the repo using the pinned, image-baked p/security-audit + p/owasp-top-ten rulesets (no scan-time registry fetch); severity rules (ERROR/WARNING/INFO) map to a full-band severity-weighted score. Exhaustive, deterministic; degrades on parse failure.

Coverage: semgrep pattern rules over all files — exhaustive for the rule set, blind to classes of bug without a rule (clean = no rule matched).

Maturity: Documented → Verified → Prevented · effective 0.5 / 10 · rule-coverage 100% · ceiling Documented

55 finding(s): 0 critical, 49 high, 5 medium, 1 low. 33 unpinned-GitHub-Actions row(s) are reported here but scored by D36 (supply-chain provenance), which measures that posture as `pinned_actions` — one pinning decision is charged once, not once per lens. semgrep hit a parse error in 1 file(s) — `.github/release.yml` — so no absence of findings in them is evidence of anything, and nothing in them was analysed. Fix the syntax error (or exclude the file deliberately) and re-scan to cover them. Separately, one or more rules could not re-parse an embedded snippet in 3 file(s) (e.g. a workflow `run:` block read as shell). Those files WERE scanned and their other rows are unaffected; only those rules' view of those snippets is missing.

REDACTED

+ 9 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

Resolve the 5 REDACTED finding(s) in Static Analysis (SAST) — start with REDACTED (4), REDACTED. — One of this dimension's main actionable groups (5 issue-level).
Resolve the 3 REDACTED finding(s) in Static Analysis (SAST) — start with REDACTED, REDACTED, REDACTED. — One of this dimension's main actionable groups (3 issue-level).
No action in Static Analysis (SAST) — all 33 REDACTED finding(s) are reported here at file:line but scored by D36 (supply-chain provenance), so none is charged to this dimension. — One of this dimension's main actionable groups (33 issue-level, 0 of them charged here).

Detailed fixes: d29_recommendation.md · top locations in Appendix A, every location in findings.md.

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D30 · Dependency Vulnerabilities8.1 / 10Adequategated by 2 critical findings✓ Tool-verified

What it measures: Whether any dependency has a known published vulnerability (CVE), direct or transitive, in ANY ecosystem the repository declares — Dart pub, Elixir and Erlang via Hex, Go modules, Java and Kotlin via Maven/Gradle, JavaScript/npm, .NET/NuGet, PHP/Composer, Python/PyPI, RubyGems, Rust/Cargo and Swift.

Method: Dependency-CVE scan across every ecosystem the repository declares, scored ONCE. Three sources are unioned and deduplicated by advisory identity (rule id + alias closure, CVE<->GHSA) scoped to package+version, keeping the worst severity: `osv-scanner --recursive` over osv.dev for Dart pub, Elixir/Hex (and Erlang, whose `rebar.lock` syft first converts to a CycloneDX SBOM the scanner reads, with rows attributed back to the lock), Go, Java and Kotlin via Maven/Gradle (and Scala, whose sbt build's pinned direct declarations are written into a CycloneDX SBOM the scanner reads, with rows attributed back to the build file), npm, PHP/Composer, Python/PyPI, RubyGems, Rust/Cargo and Swift; `trivy fs --scanners vuln` for npm lockfiles; and `dotnet list package --vulnerable --include-transitive` for NuGet (with per-advisory collapse of the project x target-framework fan-out), plus a DECLARED-dependency arm that resolves a published gem's gemspec against rubygems.org where no Gemfile.lock is committed. `SeverityScore(c,h,m,l, normalizer 8.0)`. NotApplicable only when NO ecosystem is readable; if any applicable ecosystem could not be scanned the findings are REPORTED and the score is withheld. Supersedes the npm and OSV arms, retired 2026-09-05.

Maturity: Documented → Verified → Prevented · effective 8.1 / 10 · rule-coverage 100% · ceiling Documented

2 finding(s): 1 critical, 1 high, 0 medium, 0 low.

REDACTED

What to do

Resolve the 1 Critical vulnerability finding(s) in Dependency Vulnerabilities — start with REDACTED. — One of this dimension's main actionable groups (1 issue-level).
Resolve the 1 High CVE finding(s) in Dependency Vulnerabilities — start with REDACTED. — One of this dimension's main actionable groups (1 issue-level).

Detailed fixes: d30_recommendation.md · top locations in Appendix A, every location in findings.md.

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D31 · IaC & Container Security9.7 / 10Stronggated by 3 serious findings✓ Tool-verified

What it measures: Whether Dockerfiles / Terraform / Kubernetes config follow security best practices.

Method: IaC/container misconfiguration scan via trivy config (REDACTED/Terraform/K8s/Helm/CloudFormation); severity rules to 0-10 moderate normalizer. NotApplicable without manifests. Exhaustive, deterministic.

Maturity: Documented → Verified → Prevented · effective 9.7 / 10 · rule-coverage 100% · ceiling Documented

3 finding(s): 0 critical, 0 high, 3 medium, 0 low.

REDACTED

What to do

Resolve the 3 Medium IaC finding(s) in IaC & Container Security — start with REDACTED (3). — One of this dimension's main actionable groups (3 warning-level).

Detailed fixes: d31_recommendation.md · top locations in Appendix A, every location in findings.md.

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D34 · Knowledge Freshness7.2 / 10Adequategated by 4 critical findings✓ Tool-verified

What it measures: Whether anyone still has living knowledge of each file, or it has been orphaned — last understood long ago by someone now gone quiet. The sibling of the bus factor: D16 asks who owns it, D34 asks whether anyone still knows it.

Method: File orphaning as total living-knowledge decay below one focused-commit's worth within a year, computed per-file from the D16 decay model. Exhaustive, deterministic over fixed history.

Maturity: Documented → Verified → Prevented · effective 7.2 / 10 · rule-coverage 100% · ceiling Documented

37 of 133 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is manim/utils/color/XKCD.py. Counted over 133 of the 186 production source files in this repository: the rest are under the ~2,400-byte size floor this dimension measures over.

Orphaned knowledge · ×4manim/utils/color/XKCD.py:1

Orphaned file · ×33manim/utils/color/X11.py:1

Further orphaned files (smaller)

What to do

Resolve the 33 Orphaned file finding(s) in Knowledge Freshness — start with X11.py, opengl_surface.py, three_d_camera.py. — One of this dimension's main actionable groups (33 recommendation-level).
Resolve the 4 Orphaned knowledge finding(s) in Knowledge Freshness — start with XKCD.py, tex_templates.py, creation.py. — One of this dimension's main actionable groups (4 issue-level).
Resolve the 1 Further orphaned files (smaller) finding(s) in Knowledge Freshness. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d34_recommendation.md · top locations in Appendix A, every location in findings.md.

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D35 · Change Coupling10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether files that change together actually belong together — pairs that repeatedly co-change in git history despite having no explicit code dependency, surfacing the hidden/logical coupling (and boundaries in the wrong place) a static scan can't see.

Method: Pairwise co-occurrence over the per-commit file sets in git history (production source only — tests and generated dropped): Degree-of-Coupling = shared ÷ min individual revisions, reported above noise floors (each file ≥10 revisions, ≥5 shared commits, ≥50% strength); sweeping commits excluded. Deterministic over fixed history.

Coverage: Population: PRODUCTION source files only — test and generated files are dropped before pairing, so a class co-changing with its own test (trivially ~100%) can't drown the real production↔production coupling. Pairs ranked by Degree-of-Coupling. A non-source file is never a coupling PARTICIPANT either: documentation, schemas, config and data files are dropped with the rest, so a code↔docs pair — a command and the reference page that restates it — is not reported however strongly the two co-change; nor is coupling that runs THROUGH a build step or config file.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

No strong hidden change-coupling between production files.

✓ On the Gold path — maintain.

Detailed fixes: d35_recommendation.md.

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D36 · Supply-chain Provenance & Signing0.0 / 10Critical✓ Tool-verified

What it measures: Whether the build pipeline provides supply-chain integrity — generated provenance/attestation, signed artifacts (cosign/sigstore), an SBOM, and pinned build actions. Presence of the configuration, not a runtime guarantee.

Method: Supply-chain provenance/signing read deterministically from CI/build config (.github/workflows, .gitlab-ci.yml, azure-pipelines, Jenkinsfile, .circleci) + the release surface: four signals — generated provenance/attestation (SLSA/in-toto/actions-attest), artifact signing (cosign/sigstore/gitsign), an SBOM (syft/sbom-action/*.spdx.json/*.cdx.json), and SHA-pinned build actions — scored 10·present/denom. NotApplicable without a build pipeline. Detects configuration presence, not runtime enforcement.

Maturity: Documented → Verified → Prevented · effective 0.0 / 10 · rule-coverage 100% · ceiling Documented

0/4 supply-chain integrity signals present (provenance, signing, SBOM, pinned actions).

REDACTED

+ 4 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

Resolve the 1 REDACTED finding(s) in Supply-chain Provenance & Signing — start with REDACTED. — One of this dimension's main actionable groups (1 issue-level).
Resolve the 1 REDACTED finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 REDACTED finding(s) in Supply-chain Provenance & Signing — start with REDACTED. — One of this dimension's main actionable groups (1 warning-level).

Detailed fixes: d36_recommendation.md · top locations in Appendix A, every location in findings.md.

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D43 · Malicious Dependencies10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether any dependency the repository declares is published as MALICIOUS rather than merely vulnerable — a package that is an attacker's work, in any ecosystem osv-scanner reads. Scored apart from D30 because the answer is binary: there is no safe version to upgrade to, and the fix is to remove the package and rotate every credential it could have read.

Method: The same dependency scan D30 reads, partitioned on the scanner's own classification rather than rescanned: a row is MALICIOUS when its id is in the `MAL-` space (the ossf/malicious-packages feed) OR its `database_specific.cwe_ids` carries `CWE-506` ("Embedded Malicious Code"). Both channels are structural; the summary text is deliberately NOT read, because a malicious-package record whose summary says only "Critical severity vulnerability" is a real shape ([GHSA redacted]) and a text matcher misses it. Scored BINARY: any surviving row is 0, whatever its severity and however many CVEs sit beside it — a hostile dependency is not a quantity. Applicability and degradation are D30's: NotApplicable only when no ecosystem is readable, and an unscannable ecosystem degrades rather than reading clean. SCORED, not informational.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

No dependency in any ecosystem this repository declares is published as malicious.

✓ On the Gold path — maintain.

Detailed fixes: d43_recommendation.md.

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D44 · Platform End-of-Life10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether anyone still ships security patches for the platform this repository RUNS ON — the runtime it pins and the framework majors its own constraints hold it to. Separate from D12 because the question differs: a current Django on an end-of-life Python is perfectly up to date and completely unsupported, and the fix is a migration rather than a version bump. What the repository says it merely SUPPORTS is never charged.

Method: End-of-life PLATFORM read from the repository's own declarations and graded against a FROZEN, dated table of vendor support dates — no network, no feed, no API, so this dimension answers identically inside a closed scan fence. Two subjects: a RUNTIME the project pins (a single or all-end-of-life TargetFramework, a .nvmrc or .python-version, a requires-python CAP) and a FRAMEWORK major a dependency constraint cannot move off (a caret, tilde or exact version; `vue@^2.7.16` pins Vue 2). A FLOOR is deliberately never charged — `requires-python = ">=3.8"` states what a package SUPPORTS, not what it runs on — and a multi-target project is charged only when EVERY target is out of support. Runtime 4.0/product capped 8.0, framework 1.5 capped 4.5. The table is safe to freeze because a statement about support that ended in the past cannot become false: it loses recall as it ages, never precision, and a test asserts every entry predates the freeze date. Disjoint from D31 (a container image's OS layer) and D29 (the toolchain a CI workflow installs). Abstains when the repository declares no platform this pass reads — never scores it clean.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

0 end-of-life runtime(s) and 0 end-of-life framework(s), read from 1 platform declaration(s) and 26 dependency declaration(s). This dimension reads what the repository says about ITSELF — a pinned target framework, a version file, a capped requires-python, a Rust toolchain pin, a framework major a constraint cannot move off. A FLOOR is deliberately never charged: `requires-python = ">=3.8"` states what the package SUPPORTS, not what it runs on, and a well-maintained library declares exactly that while running its own CI on a current release. The end-of-life facts are FROZEN and dated, so this dimension needs no network and answers identically inside a closed scan fence; as the table ages it loses recall and never precision, because a statement about support that ended in the past cannot become false. The OS layer of a container image is D31's question and the toolchain a CI workflow installs is D29's; this row is neither.

✓ On the Gold path — maintain.

Detailed fixes: d44_recommendation.md.

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Frontend & cross-cutting dimensions

R = React/JS · M = Maturity · P = Readiness.

AX10 · Code composition10.0 / 10Exemplary✓ Tool-verified

Other · Architecture — How the codebase splits by code ROLE — domain, application, infrastructure, test, generated. The significance map behind the knowledge/coupling weighting, and a DDD signal in its own right: a thin domain core under fat infrastructure is the anemic-domain smell, quantified. How each file's role is decided, because the split is only as good as that: a generated name or a build-output tree makes it Generated, a test project makes it Test, and otherwise the file's NAMESPACE and PATH words are matched against fixed vocabularies in a fixed ORDER — domain, then infrastructure, then application — so a file whose words hit two layers is counted under the earlier one. A production file matching none of them counts as application, so that share reads 'application or unclassified' rather than a measured application layer. Roles come from naming convention, never from what the code does. On this repository the split was taken from the source tree on disk rather than from a loaded .NET workspace, so a file's role is decided by its PATH segments alone — no declared namespace was available to add to the evidence — and generated output is excluded from the census entirely rather than counted as a generated share.

Method: Roslyn line-count by code ROLE: every source file classified Domain/Application/Infrastructure/Test/Generated by namespace + path convention (the shared CodeRoleClassifier), then significant lines summed per role. Deterministic; the advisory score is the business-logic (domain+application) share of production code.

Coverage: Population: ALL source files, each bucketed into ONE of five roles (Domain/Application/Infrastructure/Test/Generated) by namespace + path convention — a file whose layer isn't named in the convention falls to Application (the neutral default), and the split is line-count, not semantic depth or business value.

What to do

The domain core is a small share of production code, but most of the rest matched no layer vocabulary at all — so this is not yet an anemic-domain finding. The namespace/path convention could not place that code, which makes the composition above a statement about the naming, not about the design. Name the layers (or check that the repository's conventions differ from the ones this check knows) before reading a thin domain into it.

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AX3 · Project dependency cycles10.0 / 10Exemplary✓ Tool-verified

Other · Architecture — Whether the project-reference graph is acyclic (cycles block independent build/deploy and signal eroding boundaries).

Method: Project reference cycles via elementary-DFS over real .csproj references, using the engine shared with D5/D7; cyclic versus acyclic. Exhaustive, deterministic.

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AX4 · Dependency direction10.0 / 10Exemplary✓ Tool-verified

Other · Architecture — Whether dependencies point inward (Domain ← Application ← Infrastructure/Web) — the clean-architecture dependency rule, checked across the project graph.

Method: Layer violations by name-segment inference (Domain/Core to Application to Infrastructure/Web) over the project-reference graph. Exhaustive over all projects, deterministic.

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M1 · Documentation (README)5.2 / 10Adequate✓ Tool-verified

Maturity · Maturity — Whether the repo and its projects have a README, and whether it's substantive and current.

Method: Filesystem scan: README presence, word count, and headings for depth; git history for staleness. Exhaustive across root and project dirs, deterministic.

92 code files changed in the last 6 months but the README was not touched — it may no longer reflect the system.

What to do

Explain in the README how to run the tests. Add a section called Testing to the README in the repository's top folder, saying how to run the test suite.
Add an 'Architecture' / 'How it works' section to the root README — the high-level shape.
Review the README against recent changes; refresh the parts that drifted.

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M2 · Architecture documentation0.0 / 10Critical✓ Tool-verified

Maturity · Maturity — Whether key decisions (ADRs) and the high-level shape (C4/diagrams) are written down.

Method: Filesystem scan: ADR folder/naming conventions or content, plus Mermaid/PlantUML/C4/architecture.md discovery. Exhaustive, deterministic.

No Architecture Decision Records found — no conventional ADR directory, no numbered `NNNN-title` documents in any markup this check reads, and nothing ADR-shaped by content. Design rationale recorded elsewhere (a design-notes tree, a mailing list, pull-request discussion) is not visible to this check and is not re-findable per decision, so a future maintainer cannot ask why one choice was made and get an answer.
No C4/Structurizr/PlantUML/Mermaid/Graphviz/D2 diagram, no drawn diagram named for the architecture, no file named `architecture` or `design` in any markup this check reads, and nothing in the README, docs or contributor guides that announces the shape — no `## Architecture` heading, no "architecture overview"/"high-level design" phrasing, no "the architecture is …" introduction, no guided code tour. A shape laid out in prose that never names itself as the architecture is not visible to this check, and neither is one kept outside the repository, so this row reports the absence of a re-findable shape document — not evidence that nobody wrote the shape down.

What to do

Record your significant design decisions. Write one short document per decision, giving its date, the situation, the decision and its consequences, and keep them together with your other design documents. A docs/adr folder with each file named by number and title is the easiest place to find them.
Add a C4 context/container diagram (Structurizr, PlantUML or Mermaid) or an architecture.md overview.

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M3 · Folder & project structure8.0 / 10Strong✓ Tool-verified

Maturity · Maturity — Whether the repo is organised deliberately — src/test separation and consistent project naming.

Method: Filesystem scan: src/test folder separation and namespace-prefix consistency (majority RootNamespace agreement). Exhaustive across projects, deterministic.

Production code isn't grouped under a src/ folder — it's spread across several top-level directories, so there's no one place that says 'this is the product'.

What to do

Group production code under src/ (or split deliberately, e.g. backend/ + frontend/) so production and tooling code aren't mixed at the root.

Do you agree with this assessment?

P1 · CI/CD gates10.0 / 10Exemplary○ Nothing flagged

Readiness · Readiness — Whether an automated pipeline builds and tests every change.

Method: Filesystem scan: CI workflow files (.github/workflows, .gitlab-ci.yml, etc.) for build and test stages. Exhaustive, deterministic.

Do you agree with this assessment?

P10 · Library API & versioning10.0 / 10Exemplary○ Nothing flagged

Readiness · Readiness — For a library: a deliberate (small) public API surface and explicit semantic versioning so consumers can depend on it safely.

Method: Roslyn scan: public API surface area and semantic-versioning markers (SemVer attributes, changelog entries) for libraries; off .NET, a library is the ecosystem's publication act (an npm package that is not private and names an entry point, a PyPI distribution with a build system, a Rust library crate, a Maven/Gradle module that publishes, a Go module with no package main, a gemspec, a Composer library, a SwiftPM library product, a pub.dev or Hex package), its surface is the share of types the language model records as public (Rust, Swift, Java, Kotlin, Go, Dart; not measured where the model records no type visibility or, as in TypeScript, only module-level export), and its version is read from the manifest, a semver CHANGELOG, release tooling or semver git tags. Exhaustive, deterministic.

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P2 · Observability7.0 / 10Strong✓ Tool-verified

Readiness · Readiness — Whether the code is diagnosable in production — structured logging, tracing/metrics, health checks.

Method: Filesystem/Roslyn scan: structured-logging frameworks (Serilog, NLog), OpenTelemetry, and health-check endpoint patterns. Exhaustive, deterministic.

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P3 · Security & performance tooling7.0 / 10Strong✓ Tool-verified

Readiness · Readiness — Whether SAST, secret/dependency scanning and performance benchmarking are wired in (presence, not runtime).

Method: Filesystem scan: SAST configuration, dependency-update automation, secret scanning, and a benchmark harness or benchmark step — in this repository's own ecosystem. Exhaustive, deterministic.

What to do

Dependabot is configured but does not watch `pip` — add that `package-ecosystem` entry to REDACTED so those dependencies get the same automatic update and advisory pressure as the ones it already covers.
Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.

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P4 · Deployment & Rollback7.0 / 10Strong✓ Tool-verified

Readiness · Readiness — Whether releases are automated and safely reversible (probes, rolling updates, approval gates) — from manifests/pipeline files, not the live environment.

Method: Filesystem scan: deployment manifests/IaC (K8s YAML, Helm, Terraform) for rolling updates, probes, approval gates, migration hooks. Exhaustive, deterministic.

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P6 · Release Hygiene10.0 / 10Exemplary✓ Tool-verified

Readiness · Readiness — Whether releases are traceable — a maintained changelog and explicit version stamping.

Method: Filesystem scan: changelog file presence and version tags in csproj or git tags. Exhaustive, deterministic.

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X1 · Async correctness10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether the code avoids sync-over-async (deadlock-prone blocking on tasks) and async void.

Method: Roslyn syntax scan: async methods scanned for .Wait()/.GetAwaiter().GetResult() and async-void outside event handlers. Deterministic, hard fact per invocation.

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X12 · Unreachable branch10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether any branch is dead by construction — a switch arm whose label can never equal a case-normalised subject, or an `else if` whose predicate the arm above has already swallowed.

Method: Roslyn syntax + semantics: switch labels compared against the subject's own case normaliser, and if/else-if chains checked for a literal an earlier arm's containment test already swallows. Deterministic, provable per finding. Advisory.

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X13 · Undrained process stream10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a child process that has BOTH standard streams redirected drains both — reading one to the end while the other is never read deadlocks once the child fills the unread pipe.

Method: Roslyn syntax + semantics: ProcessStartInfo launches with both streams redirected, checked for a drain of each stream across the enclosing type. On a repository with no .NET source it reads JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not) with the same rule: a `spawn` imported from `child_process` whose stdout and stderr are both pipes (no options, no `stdio`, or `stdio` of `'pipe'`), bound to a local that never leaves its scope, where exactly one of the two streams is read, the other never, and the child’s `close`/`exit` (or the read stream’s end) is awaited; a shell redirect in the call’s arguments or a `kill` of the child suppresses it. The same rule reads Python’s `subprocess.Popen`, Dart’s `Process.start`, Ruby’s `Open3.popen3`, and Scala’s JDK process starts (`new ProcessBuilder(…).start()` with no `redirectErrorStream`/`redirectError`/`redirectOutput`/`inheritIO`, `Runtime.getRuntime.exec`) where one of `getInputStream`/`getErrorStream` is read and the other never while `waitFor()` is called or the read stream is read to its end. Deterministic, provable per finding. Advisory.

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X14 · Bypassable address classification10.0 / 10Exemplary○ Nothing flagged

Other · Security — Whether a hand-rolled public/private IP check can be walked past — a method that unwraps IPv4-mapped IPv6 but returns the opposite verdict for the same host written as IPv4-compatible, 6to4 or NAT64.

Method: Roslyn syntax + semantics: methods that unwrap IPv4-mapped IPv6 and hand-roll IPv4 range carve-outs, checked for whether the IPv6 branch also accounts for the IPv4-compatible, 6to4 and NAT64 embeddings. Deterministic, provable per finding. Advisory.

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X15 · Unvalidated length from an untrusted reader10.0 / 10Exemplary○ Nothing flagged

Other · Security — Whether a length read out of the stream being parsed is bounded before it is allocated or read — an unchecked count taken from the input lets the input choose the allocation.

Method: Roslyn syntax + semantics: integer lengths read from a BinaryReader and spent on a bulk read or an array allocation, checked for any comparison or bounding call on the value anywhere in the method. Deterministic, provable per finding. Advisory.

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X16 · Unfloored truncation loop10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a loop that shortens a string until it fits a length budget has a floor — one with none grinds the value down to the empty string, or past it into a negative-length `Substring`.

Method: Roslyn syntax + semantics: while/do loops whose body's only effect on a string is to drop its last character, checked for whether anything — a direct comparison on the length, a body guard, a break — bounds that length below. On a repository with no .NET source it reads JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not) with the same rule: a `while`/`do` loop whose body’s one assignment to a value is `x = x.slice(0, -1)` or `x = x.slice|substring|substr(0, x.length - 1)`, driven by a condition that reads `x.length` only as a term of a larger expression — never compared directly, never tested for truthiness, and with no other read of `x` — and whose body has no `break`, `return`, `throw` or `if` naming `x`. Deterministic, provable per finding. Advisory.

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X17 · Uncapped recursion over a caller-supplied document3.5 / 10Weak✓ Tool-verified

Other · Security — Whether a walk that recurses through a JSON/XML tree handed in by its caller bounds how deep it will go — an uncapped walk lets the document's nesting choose the stack depth, and the resulting StackOverflowException cannot be caught.

Method: Roslyn syntax + semantics: methods that take a JSON/XML document node and call themselves with a child of it, reachable from an externally-callable member of the same type that accepts a document, checked for any depth parameter, descent counter or threaded arithmetic anywhere in the walk. On a repository with no .NET source it reads TypeScript off the engine’s own token stream (test, vendored, generated and minified paths and `.d.ts` not) with the same rule: a function or method with a parameter typed as a document value — `unknown`, `any`, `object`, `Record<string, unknown|any>`, a JSON alias (`JsonValue`, `JSONObject`, …) or a DOM node global the file does not rebind — that calls itself (bare, or through `this` for a method, or hands itself to a call over the value as in `value.map(walk)`) with something it took out of that value and never through an ancestor accessor such as `closest()` or `parentElement`, that is exported or reached from an exported function (a public method of the same exported class) taking such a value, and that names no depth, level, nesting, recursion, remaining or budget anywhere and threads no `+`/`-` arithmetic through a self-call. Plain JavaScript is not read: with no annotation nothing tells a parsed document from a tree the code built itself. Deterministic, provable per finding. Advisory.

`hash_obj` is public and takes `obj: object` from its caller, and it calls itself at line 545 (`hash_obj`) with a piece of `obj` (and at line 548, line 551) — and nowhere in `hash_obj` is there a depth parameter, a descent counter, or any other cap. The walk therefore spends one stack frame per LEVEL of the value it is handed, so the nesting of the caller's document — not this code — decides how deep the stack goes. Python's parsers accept far more nesting than its stack allows: `json.loads` turns 3,000 bytes of brackets into 1,500 levels and `xml.etree.ElementTree` parses tens of thousands, while a walk like this one raises `RecursionError` once it passes the interpreter's default limit of 1,000 frames. Wherever that exception lands, the work fails: a request errors, and outside any `try` the worker or the program exits with it. Raising `sys.setrecursionlimit` only moves the number the document has to beat. Thread a depth argument through `hash_obj` and reject the value past a fixed maximum, or rewrite the descent with an explicit stack. — manim/utils/iterables.py:545

What to do

Each finding names the externally-callable member that accepts the document and the self-call that descends, and states that no depth parameter or counter exists anywhere in the walk. Confirm from the two, then thread a depth argument through the walk and reject documents past a fixed maximum, or rewrite it with an explicit stack.

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X18 · Disposal-pattern correctness10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a type's disposal matches what it OWNS — releasing what it created, leaving alone what it was handed, and not declaring a finalizer for state that has nothing unmanaged to finalize.

Method: Roslyn syntax + semantics: every assignment to a disposable field is read to decide whether the type CREATED the value or was handed it, and the type's disposal is checked against that answer — an injected interface it disposes, a value it constructed and never releases, a finalizer on a type holding nothing unmanaged, and a disposable local whose every reference is a plain member read. A value handed to a container that disposes its contents (a parent control's `Controls` collection, a component `IContainer`) is released by that container and is not reported; generated code is out of population. On a repository with no .NET source the same ownership questions are read in JavaScript/TypeScript off the engine’s own token stream (test, vendored, generated and minified paths not): a class declaring `dispose()`, `[Symbol.dispose]()` or `[Symbol.asyncDispose]()` that disposes a field it was handed through a constructor parameter typed as a repository interface or resolved by a dependency-injection container; that assigns a field only ever from `new X(…)` of a disposable class and neither releases it anywhere in the class nor names it in its disposal member or a method that member calls, nor hands it to anything else; and a `const`/`let` local built from literals only whose every reference opens a statement operating on a non-release member of it. A class is disposable when every repository declaration of its name declares or inherits a disposal member, or when it is a documented library disposable (`vscode` EventEmitter, CancellationTokenSource and Disposable; three.js geometries, materials, textures, render targets, renderers, controls and composers). The finalizer arm has no JavaScript counterpart: a class cannot declare one. Dart is read for the owned-and-never-released arm: a Flutter `State` (or a class declaring `dispose()`/`close()`) whose library-private field is written only with direct creations of a framework controller, `FocusNode`, `StreamController` or periodic `Timer` (or a `.listen(…)` into a field declared `StreamSubscription`), which nothing in the class or its library releases (`dispose`/`close`/`cancel`) and which is never handed on except as a named argument. Ruby is read for the owned-and-never-released arm and the abandoned-local arm: a class declaring an instance `close`, `dispose`, `shutdown`, `stop`, `disconnect` or `terminate` whose instance variable is written only with a blockless core descriptor creation (`File.open`/`new`, `Tempfile`, `Dir.open`, `IO.popen`, the `socket` and `openssl` socket classes) that no method of the class closes and that is never handed on (passed, returned, stored, exposed by `attr_reader`, delegated) — a class whose superclass or mixin lies outside the repository is not judged — and a blockless creation read through and dropped (`File.open(path).read`) or held in a local that is never closed, returned, passed or stored (a `&:read` block-pass, an `autoclose: false` borrow and a `fileno` hand-over are not abandonment). PHP is read for the same two arms: a class (not a trait, and not one using a trait) declaring an instance `close`, `dispose`, `shutdown`, `stop`, `disconnect` or `terminate` whose `private` property (or a `final` class's `protected` one) is written only with a direct core `fopen`, `tmpfile`, `popen`, `proc_open`, `fsockopen`, `stream_socket_client`/`server` or `opendir` that nothing in the class closes (`fclose`, `pclose`, `closedir`, `unset`, a reset to `null`) and that is never handed on, and a handle held in a function's local, or read through as the argument of a reader, that is never closed, returned, passed, captured or stored; a `php://` stream, `curl_init`, `SplFileObject`, `PDO` and a function the repository declares under the core name are not read. Deterministic, provable per finding. Advisory.

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X19 · Unrestored process-global state10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a method that temporarily changes state belonging to the whole process — the working directory, an environment variable — puts it back on EVERY path: a restore reached only when nothing throws leaks the change to the rest of the process.

Method: Roslyn syntax + semantics: method bodies that write the process working directory or an environment variable and write it back in the same body, checked for whether that restore sits in a `finally`/`catch` or only on the straight-line path. On a repository with no .NET source the same rule reads production JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not): `process.chdir`, `process.env.NAME =`/`["NAME"] =` and `delete process.env.NAME`, and Deno’s `Deno.chdir`/`Deno.env.set`/`Deno.env.delete`, paired per function body (a nested function or arrow is its own body, and module top-level code is none), where the last write puts back a local the body captured from the same global or deletes a variable the first write set, with at least one statement between them; a write in a `catch`/`finally` of that body silences it. Deterministic, provable per finding. Advisory.

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X21 · Side-effecting pattern guard10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a `when` guard is free of side effects — a guard that increments a counter or assigns while deciding whether its arm matches applies that change during PATTERN MATCHING, on an arm that may not be selected, and skips it entirely when a short-circuit to its left answers first.

Method: Roslyn syntax: `when` guards on case labels and switch-expression arms, read for a mutation (`++`/`--`/assignment) sitting in a position the guard's own `&&`/`||`/`??`/`?:`/`?.` can skip. Deterministic, provable per finding. Advisory.

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X22 · Contradicted release guard10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a method that TAKES a lock or semaphore and gives it back from a flag-guarded `finally` returns the value that flag implies — reporting success while the guard hands the primitive back admits a second caller the exclusion was there to keep out, and reporting failure while the guard keeps it leaves nothing to ever give it back.

Method: Roslyn syntax: `try` statements whose `finally` releases a synchronisation primitive under a bare local-bool guard, where the method also TOOK that same primitive before the `try`, checked for a `return` of a bool literal whose value disagrees with the flag state the method's own straight-line assignments put it in. Deterministic, provable per finding. Advisory.

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X23 · Unguarded diagnostic materialisation10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether the work a diagnostic log line costs is paid only when that line is wanted — C# evaluates a call's arguments BEFORE the call, so a trace/debug message joined or projected out of a collection is built in full on every pass, and then discarded by a sink the shipped configuration leaves switched off.

Method: Roslyn syntax: log calls at a diagnostic level (a `Log`-prefixed method naming Trace/Debug/Verbose, or a bare `Debug`/`Trace`/`Verbose` on a receiver named for a logger), whose argument list is read for a call whose cost scales with a sequence — a LINQ operator, a materialisation, `string.Join`, a serializer — with no enclosing level check or conditional-compilation region. On a repository with no .NET source it reads JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not) with the same rule: a `debug`/`trace`/`verbose` call on a receiver named for a logger, or a `log`-prefixed method naming the level, whose argument calls an array operator (`map`/`filter`/`reduce`/`sort`/…), `Array.from`, `Object.keys/values/entries`, `JSON.stringify`/`util.inspect` over anything but a literal, or an array `join` — outside any arrow or function passed as an argument, which the logger calls only when the level is on — with no enclosing `if`, `&&` or `?:` whose condition names a level, a level string, or the `NODE_ENV`/`__DEV__`/`DEV` build switch. Deterministic, provable per finding. Advisory.

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X24 · Document value interpolated into markup unescaped10.0 / 10Exemplary○ Nothing flagged

Other · Security — Whether text read out of the document being converted is escaped before it is written into generated markup — a value the document's author chose, interpolated into an attribute the surrounding literal delimits, can close that attribute and open another.

Method: Roslyn semantic model over the whole compilation: a string-typed `Value`/`InnerText`/`InnerXml`/`Text` member declared inside `DocumentFormat.OpenXml` or `System.Xml` is a taint SOURCE, propagated through assignments, returns, arguments, tuple elements and string composition to its transitive closure, then read at interpolated-string holes that sit in a markup position the surrounding literal itself delimits. Escaper/encoder calls and enclosing validator conditions cut the flow. Flow- and container-insensitive by construction. A second arm needs no provenance at all and reports a type that CONTRADICTS ITSELF — the same expression escaped at one delimited markup hole and interpolated raw at another hole in the same markup position of the same type, which the type's own escaping proves is a defect without knowing where the value came from. On a repository with no .NET source it reads JavaScript/TypeScript off the token stream with the same rule: a DOM read of raw document text (`getAttribute`, `textContent`, `innerText`, `nodeValue`) is the source, propagated through local bindings and string composition, and judged at template-literal and concatenation holes in the same two delimited markup positions; escapers and validating conditions cut it, and documentation-site, test, vendored and minified scripts are not read. Deterministic, provable per finding. Advisory.

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X25 · Inert configuration knob10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a value the caller is invited to supply is the value the type actually uses — a constructor parameter stored in a private field that nothing ever reads while the default it was given is spelled out a second time at the site that should have read it, a keyed lookup that falls back to a different setting than the one its key names while the same type falls back to the matching one for that same key, or a culture-sensitive parse given no format provider by a type that feeds its own settable culture to the same kind of parse elsewhere, or a number an entry point writes to standard output under the host's culture while the same entry point formats with the invariant culture elsewhere. Either way, every caller who supplies a value silently gets something else.

Method: Roslyn syntax: private instance fields of a non-partial type assigned in a constructor from one of its own parameters with a `??` fallback, checked for whether anything in the type body reads the field and whether that same fallback expression is spelled out again outside the constructor; and `??` fallbacks onto a member access from a lookup call carrying exactly one string literal, grouped by that key across the type and checked for a fallback member whose folded name disagrees with the key while a sibling site for the same key agrees with it. On a repository with no .NET source the first two arms read JavaScript/TypeScript off the engine’s own token stream (tests included, bundles and vendored paths not): a `#x`, `private` or `private` parameter-property instance field filled in the constructor from a parameter (or one member of one) through `??`/`||` or a parameter default, never read anywhere in the file by name, whose constructed default is spelled again in the class body; and `lookup("key") ?? s.member` grouped by key per class, or per module outside every class. The culture arm has no JavaScript counterpart: its parses take no locale. Deterministic, provable per finding. Advisory.

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X26 · Unsynchronised callback handoff10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a value handed from a callback to the body that waits on it crosses on something built to be crossed — a `Queue<T>`/`List<T>`/`Dictionary<K,V>` written inside an event handler and read back outside it is mutated by two flows at once, and the semaphore or completion source beside it orders how MANY items exist while leaving the collection's own head, tail and backing array unprotected.

Method: Roslyn syntax: method, accessor, local-function and lambda bodies that declare BOTH a non-thread-safe generic collection (`Queue`/`Stack`/`List`/`Dictionary`/`HashSet`/`Sorted*`/`LinkedList`) and a synchronisation primitive (`SemaphoreSlim`/`TaskCompletionSource`/`ManualResetEvent(Slim)`/`AutoResetEvent`/`CountdownEvent`) as locals, then read for a `+=`-registered lambda that raises that primitive while the body outside every lambda waits on it — and, in that scope, a mutating call on the collection inside the lambda paired with a mention of it outside. Any `lock` in the scope abstains it. On a repository with no .NET source the same handoff is read in Java off the engine’s own token stream (test source sets, vendored and demonstration paths not): an `ArrayList`/`LinkedList`/`ArrayDeque`/`PriorityQueue`/`Hash*`/`LinkedHash*`/`Tree*` local and a `CountDownLatch`/`Semaphore`/`CompletableFuture` local, a lambda or anonymous class that raises the primitive and mutates the collection, and a wait outside it; any `synchronized` or `lock()` abstains the body. Because each of those primitives orders what the callback wrote before raising it, only a touch that provably overlaps the callback is convicted: one after the registration and before the next wait, or one in a loop registered-before, waiting on every pass and not declaring the collection. Deterministic, provable per finding. Advisory.

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X27 · Collection changed while being enumerated5.8 / 10Adequate✓ Tool-verified

Other · Code Health — Whether a `for` loop leaves the `dict`, `set` or `deque` it is walking alone — CPython's iterators over those check that the collection has not changed size since the loop began, so a body that removes from (or empties) the very collection the loop is walking makes the next step raise `RuntimeError: dictionary changed size during iteration` and the remaining items are never seen.

Method: Roslyn syntax + semantics: `foreach` statements whose body calls a structural mutator (`Add`/`Remove`/`Clear`/`Insert`/…) on the very expression the loop is enumerating. Two arms. ARM A — the source is a concrete fragile BCL collection, or a live `Keys`/`Values` view over one, and the mutator resolves to that same collection's own member; concurrent and immutable collections and arrays are outside the population by construction, since their enumerators survive a structural change. ARM B — the source is an argument-less accessor CALL on a receiver whose body is in source: the accessor must return a stored field VERBATIM and a sibling member must structurally change that same field, both read off the implementations rather than from the members' names. A mutation the loop provably exits immediately after (`break`/`return`/`throw`/`goto`), or one written inside a nested loop or a lambda, is counted and never reported. Deterministic, provable per finding. Advisory.

`default` is walked directly by the `for` on line 131, and line 134 calls `del default[…]` inside the loop body — a change to the size of a dict this file builds. The loop's next step raises `RuntimeError: dictionary changed size during iteration`, so every pass that reaches this call ends the loop by exception and the remaining items are never seen. — manim/cli/cfg/group.py:131
`default` is walked directly by the `for` on line 131, and line 139 calls `del default[…]` inside the loop body — a change to the size of a dict this file builds. The loop's next step raises `RuntimeError: dictionary changed size during iteration`, so every pass that reaches this call ends the loop by exception and the remaining items are never seen. — manim/cli/cfg/group.py:131

What to do

Each finding names the two lines that cannot both stand — the `for` over the collection (or its `keys()`/`values()`/`items()` view), and the call inside the body that changes its size. Confirm from those two, then pick one: walk a snapshot (`for k in list(d):`, `for x in s.copy():`); build the result instead of editing in place (`d = {k: v for k, v in d.items() if keep(v)}`); collect what needs removing and remove it after the loop; or — where only the first match was ever meant — `break` straight after the change, which is the one shape that is already safe.

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X28 · Index access outside its own emptiness guard10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a condition that tests a value for emptiness indexes that same value only where the test holds — an `||` written one parenthesis too far to the left leaves an index access outside the guard beside it, so the empty case the guard exists to anticipate reaches the index and throws.

Method: Roslyn syntax only, no semantic model: the OUTERMOST `&&`/`||` of every boolean condition, read for a symbol the condition tests for emptiness (`string.IsNullOrEmpty`/`IsNullOrWhiteSpace`, a `Length`/`Count` comparison against a literal, `Any()`, a `Length`/`Count` pattern, or a comparison against `""`) and ALSO indexes. Each `symbol[...]` access is placed by a boolean-reachability walk from the access up to the outermost connective: an access is COVERED when some enclosing step has it in the right operand and the left operand, under the truth value that step forces, proves the symbol non-empty — a recursion over `&&`/`||` whose true- and false-directions are asymmetric. A finding needs BOTH an uncovered access and a covered one on the same symbol in the same condition, which is the agreeing twin that separates a misplaced parenthesis from an unrelated length test. Bare index accesses with no emptiness test in the condition are neither counted nor reported; a non-identifier receiver and a lambda nested inside the condition are outside the population. Deterministic, provable per finding. Advisory.

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X29 · Per-element action decided by a fixed element10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a decision taken once per element is taken ABOUT that element — a test inside a counted loop that reads a fixed subscript of the very collection its guarded statement indexes by the loop variable applies element zero's answer to all of them, so the elements that differ from it are all handled wrongly, and in the same direction.

Method: Roslyn syntax only, no semantic model: every `for` statement declaring exactly ONE loop variable, and every `if` inside its body that is not under a nested loop or a lambda. A site enters the population when the `if`’s condition never mentions the loop variable while the statement it guards indexes some collection by that variable ALONE (`c[i]`; `c[i + 1]` and `c[i, j]` are outside it). A finding additionally needs the AGREEING TWIN at the same-collection grain: the condition must read THAT SAME collection at a subscript that does not move — written into the condition, or reached through a local declared BEFORE the loop, so an alias bound inside the body is not followed. Both collection expressions must be simple identifiers. On a repository with no .NET source the same rule reads JavaScript/TypeScript off the engine’s own token stream (tests included, bundles and vendored paths not): a `for (let|var|const x = …; …; …)` with one declarator and a braced body, an alias followed only when it is declared before the loop in a block that encloses it and never assigned inside the loop. Deterministic, provable per finding. Advisory.

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X3 · Exception handling6.9 / 10Strong✓ Tool-verified

Other · Code Health — Whether exceptions are handled rather than silently swallowed or rethrown with lost stack traces.

Method: Roslyn syntax scan: every catch clause counted; empty catches and bare rethrows flagged. Population is all catch clauses, not estimated. Deterministic, hard fact.

`except Exception` takes every exception and records none of it — the body neither logs it, rethrows it, nor even names it, so the failure is discarded as completely as by an empty catch and only the substituted value survives. Log it through whatever this codebase already uses to report problems, narrow the catch to the exception this call can actually raise, or say in a comment on the catch why the failure genuinely cannot matter. (×2) — manim/utils/testing/frames_comparison.py:123, REDACTED:289
An empty catch block silently discards the error — failures vanish with no log and no rethrow. Log it, handle it, or don't catch it. — manim/cli/render/render_options.py:55

What to do

Swallowed exception (caught, then discarded)

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X30 · Support guard that admits what it rejects10.0 / 10Exemplary○ Nothing flagged

Other · Code Health — Whether a guard written as a NEGATED `||` says what its author meant — `!(a || b || x != k)` is `!a && !b && x == k` by De Morgan, so a bail-out that mixes capabilities the code needs with a fault it refuses turns inside out: it fires only where the capabilities are ABSENT, and lets every value the fault term names walk straight into the body that cannot handle it.

Method: Roslyn syntax only, no semantic model: every logical-not whose operand is a parenthesised `||` chain of two or more disjuncts, flattened (a left-nested `a || b || c` read once would see `(a || b)` as one disjunct). A site enters the population on that shape alone. A finding additionally needs the disjuncts to DISAGREE in polarity: at least one bare boolean read — an identifier or member access, never an invocation, which is a predicate rather than a capability flag — and at least one `x != <constant>`, the only form that negates into an exact-value pin (`== null` negates into a looser requirement and is outside the fault set). Consistently-polarised disjunctions, all-fault or all-capability, are counted and never reported; a negated `&&` is outside the population entirely. No same-receiver gate: it was measured to cost a real defect and remove no false positive. Deterministic, provable per finding. Advisory.

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X4 · Structured logging3.7 / 10Weak✓ Tool-verified

Other · Code Health — Whether log calls use message templates (queryable) rather than interpolated strings.

Method: Roslyn syntax scan: every log call-site counted; interpolated-string first-argument violations flagged. Population is all log calls, not estimated. On a repository with no .NET source it reads JavaScript/TypeScript off the engine’s own token stream (test, vendored and minified paths not) with the same rule: a `trace`/`debug`/`info`/`warn`/`error`/`fatal`/`verbose`/`silly`/`http`/`log` call on a receiver named for a logger, in a package whose own or an enclosing `package.json` declares a logger that carries values as fields (pino, pino-http, nestjs-pino, Fastify, winston, bunyan, tslog, LogTape, roarr), whose first deciding argument is a template literal with substitutions; an object-literal fields argument is stepped over, a plain string message clears the call. Python is read the same way: a `debug`/`info`/`warning`/`error`/`exception`/`critical`/`log` call on a logger in a file that imports the standard library’s `logging` or structlog (loguru, which formats at the call, is not judged), whose message is a whole f-string with a non-constant field; a `%`-formatted, `.format()`-ed or concatenated message is not convicted, as in C#. PHP is read the same way: a PSR-3 level call (`emergency`…`debug`, `log`) on a logger (`$logger`, `$this->logger`, Laravel’s `Log::`, `logger()`, `\Drupal::logger()`) in a package whose `composer.json` requires a PSR-3 logger or a framework that hands one out (psr/log, Monolog, Laravel, Symfony, Drupal, CakePHP), or a file that imports one, whose message is a double-quoted string interpolating a variable; a single-quoted message clears the call, and `sprintf` or `.` concatenation is not convicted, as in C#. Dart is read the same way: a `trace`/`debug`/`info`/`warn`/`error`/`fatal` call on Sentry’s structured logger (`Sentry.logger`) whose message is a whole string literal interpolating a value (`$name`, `${…}`); the `Sentry.logger.fmt` template API clears the call. Dart that logs only through loggers with one message and no fields (package:logging, package:logger, talker, dart:developer) is not applicable rather than a reach gap. Ruby is read the same way: a `trace`/`debug`/`info`/`warn`/`error`/`fatal` call on the console gem’s `Console` (declared by a Gemfile, gemspec or Gemfile.lock, or required) or, where SemanticLogger, Ougai or dry-logger is declared or required, on a receiver named for a logger (`logger`, `@logger`, `Rails.logger`, `log`), whose first deciding argument is, as the whole argument, a double-quoted string interpolating a non-constant value (`#{…}`, `#@ivar`); a plain literal clears the call, keyword arguments are the fields, and a block, `%`-format or `+` concatenation is not convicted. Ruby that logs only through the standard Logger (Rails.logger) is not applicable rather than a reach gap. Deterministic.

`info` at line 105 is handed an f-string as its message, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the record is filtered out. Pass the values beside a constant message instead: `logger.info("order %s moved to %s", order_id, status)` with the standard library's `logging`, which keeps the message and its arguments apart on the record, or `log.info("order moved", order_id=order_id, status=status)` with structlog. — manim/utils/testing/_frames_testers.py:105
`warning` at line 55 is handed an f-string as its message, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the record is filtered out. Pass the values beside a constant message instead: `logger.warning("order %s moved to %s", order_id, status)` with the standard library's `logging`, which keeps the message and its arguments apart on the record, or `log.warning("order moved", order_id=order_id, status=status)` with structlog. — manim/utils/testing/_show_diff.py:55
`debug` at line 41 is handed an f-string as its message, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the record is filtered out. Pass the values beside a constant message instead: `logger.debug("order %s moved to %s", order_id, status)` with the standard library's `logging`, which keeps the message and its arguments apart on the record, or `log.debug("order moved", order_id=order_id, status=status)` with structlog. — manim/renderer/shader_wrapper.py:41
`info` at line 125 is handed an f-string as its message, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the record is filtered out. Pass the values beside a constant message instead: `logger.info("order %s moved to %s", order_id, status)` with the standard library's `logging`, which keeps the message and its arguments apart on the record, or `log.info("order moved", order_id=order_id, status=status)` with structlog. — manim/_config/utils.py:125
`info` at line 132 is handed an f-string as its message, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the record is filtered out. Pass the values beside a constant message instead: `logger.info("order %s moved to %s", order_id, status)` with the standard library's `logging`, which keeps the message and its arguments apart on the record, or `log.info("order moved", order_id=order_id, status=status)` with structlog. — manim/_config/utils.py:132
`info` at line 824 is handed an f-string as its message, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the record is filtered out. Pass the values beside a constant message instead: `logger.info("order %s moved to %s", order_id, status)` with the standard library's `logging`, which keeps the message and its arguments apart on the record, or `log.info("order moved", order_id=order_id, status=status)` with structlog. — manim/_config/utils.py:824
`warning` at line 1792 is handed an f-string as its message, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the record is filtered out. Pass the values beside a constant message instead: `logger.warning("order %s moved to %s", order_id, status)` with the standard library's `logging`, which keeps the message and its arguments apart on the record, or `log.warning("order moved", order_id=order_id, status=status)` with structlog. — manim/_config/utils.py:1792

What to do

Interpolated log message defeats structured logging

Do you agree with this assessment?

Reference — by lens

The score is the rank-weighted fold of these lenses (worst-heaviest), each including its meta-dimensions; a lens with a Critical contributor is capped at Fair (its band reads "gated by …") and is never the strongest area however high its average.

Lens	Score	Rating	Impact
Code Health	68%	Adequate — gated by X4	Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Architecture	83%	Adequate — gated by D26	Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Maturity	44%	Adequate — gated by M2	Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Readiness	81%	Strong	Strongest area.
Security	69%	Adequate — gated by D29, D36	Capped at Fair by a Critical contributor — resolve it before relying on this lens.

Unscored — 3 check(s) recorded observations but carry no score

These checks ran and found something, but they do not carry a score — either by design (an advisory check reports evidence rather than grading it) or because they could not be scored here. They are excluded from the score for that reason, not because there was nothing to see.

X10 Duplicated predicate — 10 observation(s) recorded · Advisory — this card reports evidence and never carries a score.
X6 Hand-rolled structured-format parsing — 2 observation(s) recorded · Advisory — this card reports evidence and never carries a score.
X7 Silent fallback defaults — 2 observation(s) recorded · Advisory — this card reports evidence and never carries a score.

Not evidenced — 4 control(s) we could not find positive evidence for

These checks grade a working control, and the repository shows no evidence of one. That is deliberately not scored as a zero: a repository cannot show an ops runbook, a database TTL or an infrastructure-side audit log, so absence of evidence here is not evidence the control is missing. It is also not a statement that the check is irrelevant to this codebase — the thing it grades applies; we just could not see it. Excluded from the score either way.

C3 Audit Trail — Not assessed: this repository stores data through 'sqlite3' (manim/scene/scene.py:1484) but declares no persisted model this check reads (Django, SQLAlchemy, SQLModel, Peewee, Tortoise and MongoEngine model fields, Alembic and Django migration columns, CREATE TABLE and ALTER TABLE … ADD columns in SQL files). Personal data may be written through raw SQL or a hosted backend, so whether its changes need an audit trail could not be established, and the trail's absence is not scored.
C4 Data Retention — Not assessed: this repository stores data through 'sqlite3' (manim/scene/scene.py:1484) but declares no persisted model this check reads (Django, SQLAlchemy, SQLModel, Peewee, Tortoise and mongoengine model fields, Alembic and Django migration columns, SQL schemas). Personal data may be written through raw SQL or a hosted backend, so whether a retention limit applies here could not be established, and its absence is not scored.
C5 Data-Subject Rights — Not assessed: this repository stores data through 'sqlite3' (manim/scene/scene.py:1484) but declares no persisted model this check reads (Django, SQLAlchemy, SQLModel, Peewee, Tortoise and mongoengine model fields, Alembic and Django migration columns, CREATE TABLE and ALTER TABLE … ADD columns in SQL files). Personal data may be written through raw SQL or a hosted backend, so whether data-subject rights apply here could not be established, and their absence is not scored.
P5 DR & Backup — not evidenced — repo shows no backup/RTO/RPO controls; absence of evidence is not evidence of a working control

Not included — 57 check(s) not relevant to this codebase

These checks had nothing to measure here (no tests, no git history, the codebase is small, or the architecture style doesn't apply), so they're omitted above rather than scored low.

AC1 Text alternatives — No web markup found — accessibility is not applicable to this repository.
AC2 Forms & labels — No web markup found — accessibility is not applicable to this repository.
AC3 Page structure — No web markup found — accessibility is not applicable to this repository.
AC4 Keyboard semantics — No web markup found — accessibility is not applicable to this repository.
AC5 ARIA correctness — No web markup found — accessibility is not applicable to this repository.
AC6 Visual & motion safety — No web markup found — accessibility is not applicable to this repository.
AC7 A11y enforcement — No web markup found — accessibility is not applicable to this repository.
AX1 Captive dependencies — Not applicable: this repository's Python imports no dependency-injection container and defines no container of its own — nothing that both registers and resolves bindings, and nothing that names two lifetimes — so nothing holds one lifetime's instance while handing out another's.
AX2 Stateful singletons — No container singleton was found, so there is no shared instance for concurrent requests to race on. No function in this Python code is served by a threaded web framework (a Flask, Bottle or FastAPI route, a Django or Pyramid view), so no module is shared between request threads. TypeScript/JavaScript runs each process's requests on one event loop, so no two requests write a shared object at the same instant (interleaving across an await is a different defect).
AX5 Architecture & structure — not assessed — architecture style/structure is computed from a project graph (projects, types, module namespaces) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX6 Interface segregation — not assessed — interface segregation is computed over a type surface that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX7 Slice cohesion — not applicable — not a vertical-slice architecture
AX8 Test isolation — no test/production split to check
AX9 CQS / query purity — no CQRS query handlers detected — query purity is not applicable to this codebase
AXB2 Runtime readiness — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
AXR1 Runtime accessibility — docker build failed (exit 1) — 2 | >>> FROM python:3.14-slim AS builder 3 | 4 | RUN apt-get update -qq \ -------------------- ERROR: failed to solve: python:3.14-slim: failed to resolve source metadata for docker.io/library/python:3.14-slim: failed to do request: Head "https://registry-1.docker.io/v2/library/python/manifests/3.14-slim": Forbidden; runtime evidence skipped This is a statement about this run, not a statement about your application: nothing here says the surface is inaccessible, only that it was never rendered.
C1 Data Protection — Not assessed: these personal data controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks personal data controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C2 Access Controls — No access-control surface detected in the analyzed source — this repository registers no route and starts no server another machine can reach (no Flask/FastAPI/Starlette route, Django urlpatterns or class-based view, Tornado handler). Access control is therefore N/A here — a library or command-line tool is authorized by the application that serves it, not by itself. If this codebase grows request handlers, the dimension reactivates and a default-deny posture is expected then.
D10 Test Quality — ~17851 lines of test source are present (.py) but no test cases reached the test census for this repository — no test root we could resolve declared them, or the files we read declare no cases in a test framework we recognise — so skipped/assertion-free tests couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
D11 Test Reliability — Test reliability not included — the .py suite was found but not re-run
D12 Dependency Hygiene — Dependency currency not established — no declaration carries an exact pin to grade
D18 Solution Shape — D18 scores the shape of a .NET solution; this repository has no .NET solution or project files, so the dimension does not apply.
D21 Naming Consistency — Naming consistency is measured on C# only; JavaScript, Python not measured.
D22 Internal API Consistency — The exposed public-API surface could not be collected — no C#/VB projects loaded.
D23 Boundary Type-Coupling — No bounded-context organisation was detected either — neither a context-shaped layout, nor 2+ sibling source directories each declaring an aggregate root, nor 2+ projects each declaring an entity of their own. Declaring this codebase's bounded contexts (≥2) would let cross-boundary type coupling be assessed. Declare them in `.codehealth/config.yaml` at the repository root (create it if absent), mapping each context name to the module-path or namespace prefixes that belong to it — e.g. `architecture:` → `contexts:` → `Billing: ["src/billing", "Acme.Billing"]`, `Catalog: ["src/catalog", "Acme.Catalog"]`.
D24 Comment Value — D24 reads C# and Visual Basic comments only — this repository's production source is .py, which was left unread. Not scored: this is a gap in the analyzer, not a verdict about this repository.
D25 ADR Conformance — no ADRs to check
D27 Navigability — D27 counts a call into the standard library or a dependency as unresolved for this repository's language (.py), so too few call sites counted as resolved to assess navigability. Not scored: this is a gap in the analyzer, not a verdict about this repository.
D32 Data Compliance (PII/GDPR) — No personal data was found crossing a boundary the PII/GDPR ruleset checks — nothing written to a log or console sink, placed in a URL or query string, or persisted to browser storage. That is a clean result for the LEAK surface only: this ruleset detects personal data escaping, it does not inventory the personal data a repository holds, so it is not evidence that this repository has no personal-data surface. The personal-data map (Appendix C) and the C1-C5 compliance cards are what speak to that.
D37 Vulnerability-disclosure Policy — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
D39 IL Efficiency — D39 measures the IL emitted by a .NET build; this repository has no .NET solution or project files, so the dimension does not apply.
D40 Network Egress Confinement — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.
D41 Kernel & Syscall Confinement — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.
D42 Runtime Threat Enforcement — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.
D5 Coupling — Not applicable — this Python build ships 1 production module(s), so there is no coupling BETWEEN modules to measure. (Its test and non-production modules are not part of the shipped graph.)
D7 Architectural Integrity — no checkable ADRs, and no project-reference graph for the cycle pass to read — so this dimension makes no claim about dependency cycles in either direction (where this repository's language has an import-cycle lens, cycles are reported there). Architectural integrity not assessed
D8 Code Coverage — Coverage not included — suite not readable by the collector
DM1 Domain Modelling — not scored — this repository shows only 1 of the 3 signals this lens looks for (10 value object(s))
ED1 Event-Driven — not scored — this repository shows none of the 3 signals this lens looks for
ED5 Idempotency — no mutating command handlers or message consumers detected — idempotency check not applicable
ES1 Event Sourcing — not scored — this repository shows none of the 3 signals this lens looks for
GD1 Unfinished & placeholder code — no source files were read — this check reads C#, F#, JavaScript/TypeScript, Dart, Ruby and Scala, and none was read for this repository's product. That is a limit of the analyzer, not a finding about your code.
IC1 Incompleteness & stubs — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
M4 Documentation accuracy — Not applicable: the 49 current-state document(s) make no claim of a kind M4 checks. 17 claim(s) of kinds M4 does not check were not checked (path 13, command argument 4); M4 checks only links and versions.
P12 CI test-gate honesty — Reported, not scored — this card publishes what the CI gate does with the test inventory rather than grading it. The findings above are its output.
P7 Outbound HTTP resilience — not applicable — no HTTP server, API framework or worker entry point was found in the JavaScript/TypeScript, Python source, so there is no service whose uptime a failing dependency could take down
P8 Schema migrations — no ORM, schema-migration tool or schema auto-create was found in this repository's dependency manifests or source, so there is no database schema for this check to judge
P9 Domain vs controller coverage — no coverage report found on disk — produce a coverage report in a standard format (`coverage run -m pytest` then `coverage xml`) and commit it — a hosted scan measures a clone of the repository, so a report that exists only in a working tree, a CI runner's or your own, never reaches it; the artefact is commonly gitignored, so `git add -f` that one file (or un-ignore its path) and commit it alongside the code it measures, or wire coverage collection into CI, to enable this cross-layer check
PF1 Benchmark discipline — Not applicable: no benchmark suite was found. This check searched for a pytest-benchmark or pytest-codspeed dependency with tests taking the `benchmark` fixture, an asv.conf.json with its `time_`/`mem_`/`peakmem_` benchmarks, or a pyperf Runner, and for a `*benchmark*` script that this repository's CI runs. Benchmarks are credited as a bonus, so their absence is neither scored nor deducted.
PF2 Allocation hygiene — Not applicable: Python runs on a garbage-collected runtime that gives a program no allocation-control idiom to choose on a hot path — no pools, stack allocation or value types — so allocation awareness is not something this code can be rated on.
PF3 Async & latency hygiene — Not applicable: this repository declares no async functions, so there is no asynchronous code for a blocking call to stall.
S1 Web-Security Posture — Not assessed: these web-security controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks web-security controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
X2 Cancellation propagation — no C# was loaded; this repository's Python was read, and no request in it can be cancelled by a caller — a Python request takes no token: asyncio cancels the task and trio or anyio the scope that made it, from outside the call, and requests, httpx, aiohttp and gRPC take a timeout, not a cancellation
X20 Mistyped argument guard — This check asks whether an argument guard reports an EMPTY value as a NULL one, which needs a language that throws a null-specific argument exception — .NET's ArgumentNullException, the JVM's NullPointerException, Dart's ArgumentError.notNull. This repository contains none of those languages: the ones it is written in have a single exception for a bad argument, so there is no pair of exceptions to confuse and nothing here for it to assess. Not a gap in the analyzer and not a finding about your code.
X32 Type resolved by simple name across every loaded assembly — This check is about how a .NET program searches the assemblies loaded into its process for a type, and this repository contains no .NET source, so there is nothing here for it to assess. Not a gap in the analyzer and not a finding about your code.
X5 Nullable reference types — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X9 Subsumed condition operand — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.

Appendix A — Findings (grouped)

The findings behind the scores, grouped by severity, then by dimension and kind. The high-severity issues are enumerated in full below; items per group are capped at 25 with any overflow stated explicitly per group, never silently truncated. The complete machine-readable list of every finding (all severities) is the companion findings.md in this report's bundle.

Critical — 56 finding(s)

D29 · Static Analysis (SAST) · REDACTED

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+ 8 more in this group — see findings.md.

D29 · Static Analysis (SAST) · REDACTED

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D34 · Knowledge Freshness · Orphaned knowledge · ×4

Orphaned knowledge manim/utils/color/XKCD.py:1 — No living knowledge remains for this large file — its last meaningful change has decayed away; if it breaks, no one currently understands it. Schedule a read-through / add characterisation tests before it bites.
Orphaned knowledge manim/utils/tex_templates.py:1 — No living knowledge remains for this large file — its last meaningful change has decayed away; if it breaks, no one currently understands it. Schedule a read-through / add characterisation tests before it bites.
Orphaned knowledge manim/animation/creation.py:1 — No living knowledge remains for this large file — its last meaningful change has decayed away; if it breaks, no one currently understands it. Schedule a read-through / add characterisation tests before it bites.
Orphaned knowledge manim/animation/indication.py:1 — No living knowledge remains for this large file — its last meaningful change has decayed away; if it breaks, no one currently understands it. Schedule a read-through / add characterisation tests before it bites.

D29 · Static Analysis (SAST) · REDACTED

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D29 · Static Analysis (SAST) · REDACTED · ×1

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D30 · Dependency Vulnerabilities · Critical vulnerability · ×1

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D30 · Dependency Vulnerabilities · High CVE · ×1

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D36 · Supply-chain Provenance & Signing REDACTED · ×1

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Serious — 297 finding(s)

D17 · Explicit Debt · TodoComment · ×128

TodoComment tests/utils/video_tester.py:113 — # TODO: use when pytest --set_test option — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/manager.py:161 — # TODO: The CairoRenderer does not have the method clear_screen(). — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/utils/hashing.py:273 — # throws ValueError: Circular reference detected if not. TODO — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/utils/iterables.py:476 — # todo: is this the same as resize_preserving_order()? — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/utils/opengl.py:154 — # TODO: When rotating around the x axis, rotation eventually stops. — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/utils/qhull.py:212 — # TODO: is this always true? — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/utils/rate_functions.py:117 — # TODO: rewrite this to use ParamSpec when Python 3.9 is out of life — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/utils/rate_functions.py:305 — # TODO: Isn't this just 0.8 * t? — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/utils/space_ops.py:85 — # TODO, implement quaternion type — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/utils/testing/_test_class_makers.py:20 — # TODO: Get the type annotation right for the base_scene argument. — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/utils/docbuild/autocolor_directive.py:29 — # TODO: The Directive class has no method named — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment REDACTED:127 — # TODO: Parent classes don't have a visit_admonition() method. — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment REDACTED:134 — # TODO: Parent classes don't have a depart_admonition() method. — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/utils/docbuild/module_parsing.py:175 — # TODO: ast.TypeAlias does not exist before Python 3.12, and that — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/utils/color/core.py:964 — # TODO: implement proper gradient, research good implementation for this or look at 3b1b implementation — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/scene/scene.py:219 — # TODO: Is it a suitable approach to make an instance of — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/scene/scene.py:275 — # TODO, remove need for foreground mobjects — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/scene/scene.py:798 — # TODO, remove this, and calls to this — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/scene/scene.py:1223 — # TODO: are these actually being used? — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/scene/scene.py:1335 — # NOTE TODO : returns statement of this method are wrong. It should return nothing, as it makes a little sense to get any information from this method. — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/scene/scene.py:1414 — # TODO: The OpenGLRenderer does not have the property static.image. — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/scene/scene.py:1554 — # # TODO: This option only makes sense if interactive_embed() is run at the — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/scene/scene_file_writer.py:455 — # TODO: figure out a way to cache the wav file generated (benchmark needed) — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/scene/three_d_scene.py:115 — # TODO, use a ValueTracker for rate, so that it — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment manim/scene/vector_space_scene.py:66 — # TODO: Much of this scene type seems dependent on the coordinate system chosen. — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.
+ 103 more in this group — see findings.md.

D3 · God Classes · FileTooLong · ×19

FileTooLong: opengl/opengl_mobject.py manim/mobject/opengl/opengl_mobject.py — FileTooLong — 1760 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 1260 over it, 3.52× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: graphing/coordinate_systems.py manim/mobject/graphing/coordinate_systems.py — FileTooLong — 1512 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 1012 over it, 3.02× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: mobject/mobject.py manim/mobject/mobject.py — FileTooLong — 1422 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 922 over it, 2.84× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: types/vectorized_mobject.py manim/mobject/types/vectorized_mobject.py — FileTooLong — 1187 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 687 over it, 2.37× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: utils/bezier.py manim/utils/bezier.py — FileTooLong — 1075 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 575 over it, 2.15× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: opengl/opengl_vectorized_mobject.py manim/mobject/opengl/opengl_vectorized_mobject.py — FileTooLong — 1023 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 523 over it, 2.05× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: _config/utils.py manim/_config/utils.py — FileTooLong — 933 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 433 over it, 1.87× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: scene/scene.py manim/scene/scene.py — FileTooLong — 907 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 407 over it, 1.81× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: text/text_mobject.py manim/mobject/text/text_mobject.py — FileTooLong — 743 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 243 over it, 1.49× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: opengl/opengl_geometry.py manim/mobject/opengl/opengl_geometry.py — FileTooLong — 732 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 232 over it, 1.46× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: camera/camera.py manim/camera/camera.py — FileTooLong — 660 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 160 over it, 1.32× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: scene/scene_file_writer.py manim/scene/scene_file_writer.py — FileTooLong — 648 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 148 over it, 1.30× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: mobject/graph.py manim/mobject/graph.py — FileTooLong — 616 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 116 over it, 1.23× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: three_d/three_dimensions.py manim/mobject/three_d/three_dimensions.py — FileTooLong — 586 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 86 over it, 1.17× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: renderer/opengl_renderer.py manim/renderer/opengl_renderer.py — FileTooLong — 562 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 62 over it, 1.12× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: color/core.py manim/utils/color/core.py — FileTooLong — 558 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 58 over it, 1.12× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: scene/vector_space_scene.py manim/scene/vector_space_scene.py — FileTooLong — 551 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 51 over it, 1.10× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: geometry/line.py manim/mobject/geometry/line.py — FileTooLong — 519 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 19 over it, 1.04× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: mobject/vector_field.py manim/mobject/vector_field.py — FileTooLong — 510 significant lines (blank, comment-only and punctuation-only lines excluded). The bar is 500 significant lines; this is 10 over it, 1.02× the bar. To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.

D6 · Cohesion (LCOM4) · Low cohesion · ×12

Low cohesion: VMobject (LCOM4 8) manim/mobject/types/vectorized_mobject.py:81 — VMobject's methods fall into 8 groups that share no field and call none of each other, against a bar of more than 3 for this run (LCOM4, configurable — your repository's bar is the one quoted here). Each group is a set of methods reachable from one another through shared fields or direct calls, so 8 groups means the type has that many internally-connected clusters with nothing tying them together. Types whose shape makes a high count expected — and which would otherwise dominate this list — are excluded before this row is raised, so this is a genuine split candidate rather than a metric reading. It is still a shape, not a defect: confirm the groups match responsibilities you can name before splitting.
Low cohesion: Mobject (LCOM4 7) manim/mobject/mobject.py:76 — Mobject's methods fall into 7 groups that share no field and call none of each other, against a bar of more than 3 for this run (LCOM4, configurable — your repository's bar is the one quoted here). Each group is a set of methods reachable from one another through shared fields or direct calls, so 7 groups means the type has that many internally-connected clusters with nothing tying them together. Types whose shape makes a high count expected — and which would otherwise dominate this list — are excluded before this row is raised, so this is a genuine split candidate rather than a metric reading. It is still a shape, not a defect: confirm the groups match responsibilities you can name before splitting.
Low cohesion: OpenGLMobject (LCOM4 7) manim/mobject/opengl/opengl_mobject.py:117 — OpenGLMobject's methods fall into 7 groups that share no field and call none of each other, against a bar of more than 3 for this run (LCOM4, configurable — your repository's bar is the one quoted here). Each group is a set of methods reachable from one another through shared fields or direct calls, so 7 groups means the type has that many internally-connected clusters with nothing tying them together. Types whose shape makes a high count expected — and which would otherwise dominate this list — are excluded before this row is raised, so this is a genuine split candidate rather than a metric reading. It is still a shape, not a defect: confirm the groups match responsibilities you can name before splitting.
Low cohesion: Object3D (LCOM4 6) manim/renderer/shader.py:85 — Object3D's methods fall into 6 groups that share no field and call none of each other, against a bar of more than 3 for this run (LCOM4, configurable — your repository's bar is the one quoted here). Each group is a set of methods reachable from one another through shared fields or direct calls, so 6 groups means the type has that many internally-connected clusters with nothing tying them together. Types whose shape makes a high count expected — and which would otherwise dominate this list — are excluded before this row is raised, so this is a genuine split candidate rather than a metric reading. It is still a shape, not a defect: confirm the groups match responsibilities you can name before splitting.
Low cohesion: Camera (LCOM4 5) manim/camera/camera.py:61 — Camera's methods fall into 5 groups that share no field and call none of each other, against a bar of more than 3 for this run (LCOM4, configurable — your repository's bar is the one quoted here). Each group is a set of methods reachable from one another through shared fields or direct calls, so 5 groups means the type has that many internally-connected clusters with nothing tying them together. Types whose shape makes a high count expected — and which would otherwise dominate this list — are excluded before this row is raised, so this is a genuine split candidate rather than a metric reading. It is still a shape, not a defect: confirm the groups match responsibilities you can name before splitting.
Low cohesion: CoordinateSystem (LCOM4 5) manim/mobject/graphing/coordinate_systems.py:72 — CoordinateSystem's methods fall into 5 groups that share no field and call none of each other, against a bar of more than 3 for this run (LCOM4, configurable — your repository's bar is the one quoted here). Each group is a set of methods reachable from one another through shared fields or direct calls, so 5 groups means the type has that many internally-connected clusters with nothing tying them together. Types whose shape makes a high count expected — and which would otherwise dominate this list — are excluded before this row is raised, so this is a genuine split candidate rather than a metric reading. It is still a shape, not a defect: confirm the groups match responsibilities you can name before splitting.
Low cohesion: MathTex (LCOM4 5) manim/mobject/text/tex_mobject.py:227 — MathTex's methods fall into 5 groups that share no field and call none of each other, against a bar of more than 3 for this run (LCOM4, configurable — your repository's bar is the one quoted here). Each group is a set of methods reachable from one another through shared fields or direct calls, so 5 groups means the type has that many internally-connected clusters with nothing tying them together. Types whose shape makes a high count expected — and which would otherwise dominate this list — are excluded before this row is raised, so this is a genuine split candidate rather than a metric reading. It is still a shape, not a defect: confirm the groups match responsibilities you can name before splitting.
Low cohesion: OpenGLCamera (LCOM4 5) manim/renderer/opengl_renderer.py:74 — OpenGLCamera's methods fall into 5 groups that share no field and call none of each other, against a bar of more than 3 for this run (LCOM4, configurable — your repository's bar is the one quoted here). Each group is a set of methods reachable from one another through shared fields or direct calls, so 5 groups means the type has that many internally-connected clusters with nothing tying them together. Types whose shape makes a high count expected — and which would otherwise dominate this list — are excluded before this row is raised, so this is a genuine split candidate rather than a metric reading. It is still a shape, not a defect: confirm the groups match responsibilities you can name before splitting.
Low cohesion: Matrix (LCOM4 4) manim/mobject/matrix.py:75 — Matrix's methods fall into 4 groups that share no field and call none of each other, against a bar of more than 3 for this run (LCOM4, configurable — your repository's bar is the one quoted here). Each group is a set of methods reachable from one another through shared fields or direct calls, so 4 groups means the type has that many internally-connected clusters with nothing tying them together. Types whose shape makes a high count expected — and which would otherwise dominate this list — are excluded before this row is raised, so this is a genuine split candidate rather than a metric reading. It is still a shape, not a defect: confirm the groups match responsibilities you can name before splitting.
Low cohesion: Typst (LCOM4 4) REDACTED:274 — Typst's methods fall into 4 groups that share no field and call none of each other, against a bar of more than 3 for this run (LCOM4, configurable — your repository's bar is the one quoted here). Each group is a set of methods reachable from one another through shared fields or direct calls, so 4 groups means the type has that many internally-connected clusters with nothing tying them together. Types whose shape makes a high count expected — and which would otherwise dominate this list — are excluded before this row is raised, so this is a genuine split candidate rather than a metric reading. It is still a shape, not a defect: confirm the groups match responsibilities you can name before splitting.
Low cohesion: VectorField (LCOM4 4) manim/mobject/vector_field.py:58 — VectorField's methods fall into 4 groups that share no field and call none of each other, against a bar of more than 3 for this run (LCOM4, configurable — your repository's bar is the one quoted here). Each group is a set of methods reachable from one another through shared fields or direct calls, so 4 groups means the type has that many internally-connected clusters with nothing tying them together. Types whose shape makes a high count expected — and which would otherwise dominate this list — are excluded before this row is raised, so this is a genuine split candidate rather than a metric reading. It is still a shape, not a defect: confirm the groups match responsibilities you can name before splitting.
Low cohesion: LinearTransformationScene (LCOM4 4) manim/scene/vector_space_scene.py:594 — LinearTransformationScene's methods fall into 4 groups that share no field and call none of each other, against a bar of more than 3 for this run (LCOM4, configurable — your repository's bar is the one quoted here). Each group is a set of methods reachable from one another through shared fields or direct calls, so 4 groups means the type has that many internally-connected clusters with nothing tying them together. Types whose shape makes a high count expected — and which would otherwise dominate this list — are excluded before this row is raised, so this is a genuine split candidate rather than a metric reading. It is still a shape, not a defect: confirm the groups match responsibilities you can name before splitting.

D3 · God Classes · TooManyMethods · ×8

TooManyMethods: OpenGLMobject manim/mobject/opengl/opengl_mobject.py:117 — TooManyMethods — 198 methods. The bar is 30 methods; this is 168 over it, 6.60× the bar. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: Mobject manim/mobject/mobject.py:76 — TooManyMethods — 173 methods. The bar is 30 methods; this is 143 over it, 5.77× the bar. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: OpenGLVMobject manim/mobject/opengl/opengl_vectorized_mobject.py:67 — TooManyMethods — 107 methods. The bar is 30 methods; this is 77 over it, 3.57× the bar. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: VMobject manim/mobject/types/vectorized_mobject.py:81 — TooManyMethods — 107 methods. The bar is 30 methods; this is 77 over it, 3.57× the bar. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: Scene manim/scene/scene.py:146 — TooManyMethods — 63 methods. The bar is 30 methods; this is 33 over it, 2.10× the bar. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: ManimColor manim/utils/color/core.py:108 — TooManyMethods — 60 methods. The bar is 30 methods; this is 30 over it, 2.00× the bar. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: CoordinateSystem manim/mobject/graphing/coordinate_systems.py:72 — TooManyMethods — 50 methods. The bar is 30 methods; this is 20 over it, 1.67× the bar. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: Camera manim/camera/camera.py:61 — TooManyMethods — 47 methods. The bar is 30 methods; this is 17 over it, 1.57× the bar. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.

D4 · Code Duplication · Duplicated block (8 lines × 2) · ×5

Duplicated block (8 lines × 2) manim/mobject/mobject.py:168 — manim/mobject/mobject.py:168-175 | manim/mobject/opengl/opengl_mobject.py:265-272 — before extracting anything, compare `manim/mobject/mobject.py` and `manim/mobject/opengl/opengl_mobject.py` as WHOLE FILES: this scan already matched 10 separate duplicated blocks between them, totalling at least 115 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. Note first that the copies are not typed on the same thing: the declarations holding them bind `mob_class` to `type[Mobject]` in one and `type[OpenGLMobject]` in another, and the duplicated lines use it. The extracted unit therefore needs a parameter type that fits BOTH — their common supertype where they have one, or a new abstraction over them where they do not — and settling that is the step that comes BEFORE the extraction above. Where the two types are deliberately unrelated, the duplication is the price of that separation and the honest resolution is to record the decision rather than to extract.
Duplicated block (8 lines × 2) manim/mobject/text/text_mobject.py:532 — manim/mobject/text/text_mobject.py:532-539 | manim/mobject/text/text_mobject.py:1243-1250 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.
Duplicated block (8 lines × 2) manim/mobject/geometry/arc.py:829 — manim/mobject/geometry/arc.py:829-836 | manim/mobject/opengl/opengl_geometry.py:384-391 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice.
Duplicated block (8 lines × 2) manim/mobject/mobject.py:1889 — manim/mobject/mobject.py:1889-1896 | manim/mobject/opengl/opengl_mobject.py:2057-2064 — before extracting anything, compare `manim/mobject/mobject.py` and `manim/mobject/opengl/opengl_mobject.py` as WHOLE FILES: this scan already matched 10 separate duplicated blocks between them, totalling at least 115 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (8 lines × 2) manim/mobject/geometry/arc.py:1101 — manim/mobject/geometry/arc.py:1101-1108 | manim/mobject/opengl/opengl_geometry.py:466-473 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. The `return` at the foot of the matched lines is the enclosing body's own terminal exit, not an early one: it moves with them unchanged, and each site calls the extracted unit from the position that `return` occupied — no decision has to be handed back and re-acted on.

D15 · Churn × Complexity Hotspots · Hotspot · ×4

Hotspot: manim/_config/utils.py manim/_config/utils.py:719 — manim/_config/utils.py changed 7 times in last 90 days, and the most complex body those changes touched has cyclomatic complexity 19 in ManimConfig.digest_args at line 719. 1 of those changes was a fix/bug commit, and the other 6 changed it for other reasons — this file is under both repair and feature pressure. Before the next change lands here, make sure the area it touches is under test, then split that area out of the file so the following change is smaller than this one — a file this often edited pays the complexity back every time. Counted over 2026-07-26..2026-10-24, the 90 days ending at the analysed commit. Reproduce with `git log --since='2026-07-26 23:56:06 +02:00' --until='2026-10-24 23:56:06 +02:00' --full-history --no-merges -- manim/_config/utils.py`: merges are excluded because a merge re-states changes already counted at their own commits, and history is NOT path-simplified because a change that reached the file through a merged branch is still a change to it. That command counts raw commits and can read HIGHER than this row, which counts a cherry-picked re-land, and a revert together with the commit it undoes, once each — a difference of several commits on a file whose history was re-landed or reverted inside the window.
Hotspot: manim/mobject/text/code_mobject.py manim/mobject/text/code_mobject.py:172 — manim/mobject/text/code_mobject.py changed 4 times in last 90 days, and the most complex body those changes touched has cyclomatic complexity 23 in Code.__init__ at line 172. 2 of those changes were fix/bug commits, and the other 2 changed it for other reasons — this file is under both repair and feature pressure. Before the next change lands here, make sure the area it touches is under test, then split that area out of the file so the following change is smaller than this one — a file this often edited pays the complexity back every time. Counted over 2026-07-26..2026-10-24, the 90 days ending at the analysed commit. Reproduce with `git log --since='2026-07-26 23:56:06 +02:00' --until='2026-10-24 23:56:06 +02:00' --full-history --no-merges -- manim/mobject/text/code_mobject.py`: merges are excluded because a merge re-states changes already counted at their own commits, and history is NOT path-simplified because a change that reached the file through a merged branch is still a change to it. That command counts raw commits and can read HIGHER than this row, which counts a cherry-picked re-land, and a revert together with the commit it undoes, once each — a difference of several commits on a file whose history was re-landed or reverted inside the window.
Hotspot: REDACTED REDACTED:80 — REDACTED changed 3 times in last 90 days, and the most complex body those changes touched has cyclomatic complexity 16 in commands.render at line 80. Frequent change and high complexity in one file compound: schedule the next change to it to include carving out the part being edited, with the area under test before it moves. Counted over 2026-07-26..2026-10-24, the 90 days ending at the analysed commit. Reproduce with `git log --since='2026-07-26 23:56:06 +02:00' --until='2026-10-24 23:56:06 +02:00' --full-history --no-merges -- REDACTED`: merges are excluded because a merge re-states changes already counted at their own commits, and history is NOT path-simplified because a change that reached the file through a merged branch is still a change to it. That command counts raw commits and can read HIGHER than this row, which counts a cherry-picked re-land, and a revert together with the commit it undoes, once each — a difference of several commits on a file whose history was re-landed or reverted inside the window.
Hotspot: REDACTED REDACTED:181 — REDACTED changed 2 times in last 90 days, and the most complex body those changes touched has cyclomatic complexity 15 in ManimDirective.run at line 181. Frequent change and high complexity in one file compound: schedule the next change to it to include carving out the part being edited, with the area under test before it moves. Counted over 2026-07-26..2026-10-24, the 90 days ending at the analysed commit. Reproduce with `git log --since='2026-07-26 23:56:06 +02:00' --until='2026-10-24 23:56:06 +02:00' --full-history --no-merges -- REDACTED`: merges are excluded because a merge re-states changes already counted at their own commits, and history is NOT path-simplified because a change that reached the file through a merged branch is still a change to it. That command counts raw commits and can read HIGHER than this row, which counts a cherry-picked re-land, and a revert together with the commit it undoes, once each — a difference of several commits on a file whose history was re-landed or reverted inside the window.

D31 · IaC & Container Security · Medium IaC · ×3

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D4 · Code Duplication · Duplicated block (15 lines × 2) · ×3

Duplicated block (15 lines × 2) manim/mobject/geometry/arc.py:364 — manim/mobject/geometry/arc.py:364-378 | manim/mobject/opengl/opengl_geometry.py:275-289 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice.
Duplicated block (15 lines × 2) manim/mobject/opengl/opengl_vectorized_mobject.py:717 — manim/mobject/opengl/opengl_vectorized_mobject.py:717-731 | manim/mobject/types/vectorized_mobject.py:2162-2176 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. The `return` at the foot of the matched lines is the enclosing body's own terminal exit, not an early one: it moves with them unchanged, and each site calls the extracted unit from the position that `return` occupied — no decision has to be handed back and re-acted on. Note first that the copies are not typed on the same thing: the declarations holding them bind `target_direction` to `str` in one and `Literal["CW", "CCW"]` in another, and the duplicated lines use it. The extracted unit therefore needs a parameter type that fits BOTH — their common supertype where they have one, or a new abstraction over them where they do not — and settling that is the step that comes BEFORE the extraction above. Where the two types are deliberately unrelated, the duplication is the price of that separation and the honest resolution is to record the decision rather than to extract.
Duplicated block (15 lines × 2) manim/mobject/opengl/opengl_vectorized_mobject.py:796 — manim/mobject/opengl/opengl_vectorized_mobject.py:796-810 | manim/mobject/types/vectorized_mobject.py:1468-1482 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. The `return` at the foot of the matched lines is the enclosing body's own terminal exit, not an early one: it moves with them unchanged, and each site calls the extracted unit from the position that `return` occupied — no decision has to be handed back and re-acted on.

D4 · Code Duplication · Duplicated block (5 lines × 2) · ×3

Duplicated block (5 lines × 2) manim/mobject/mobject.py:2009 — manim/mobject/mobject.py:2009-2013 | manim/mobject/opengl/opengl_mobject.py:2158-2162 — before extracting anything, compare `manim/mobject/mobject.py` and `manim/mobject/opengl/opengl_mobject.py` as WHOLE FILES: this scan already matched 10 separate duplicated blocks between them, totalling at least 115 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. The `return` at the foot of the matched lines is the enclosing body's own terminal exit, not an early one: it moves with them unchanged, and each site calls the extracted unit from the position that `return` occupied — no decision has to be handed back and re-acted on.
Duplicated block (5 lines × 2) manim/mobject/mobject.py:2291 — manim/mobject/mobject.py:2291-2295 | manim/mobject/opengl/opengl_mobject.py:1602-1606 — before extracting anything, compare `manim/mobject/mobject.py` and `manim/mobject/opengl/opengl_mobject.py` as WHOLE FILES: this scan already matched 10 separate duplicated blocks between them, totalling at least 115 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. The `return` at the foot of the matched lines is the enclosing body's own terminal exit, not an early one: it moves with them unchanged, and each site calls the extracted unit from the position that `return` occupied — no decision has to be handed back and re-acted on.
Duplicated block (5 lines × 2) manim/mobject/geometry/line.py:103 — manim/mobject/geometry/line.py:103-107 | manim/mobject/opengl/opengl_geometry.py:485-489 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice.

D15 · Churn × Complexity Hotspots · Repeated repair · ×2

Repeated repair: manim/mobject/geometry/line.py manim/mobject/geometry/line.py:981 — manim/mobject/geometry/line.py changed 4 times in last 90 days and 3 of those changes were fix/bug commits, so repair is the majority of this file's churn. Its max cyclomatic complexity is 14 (its worst body is Angle.__init__ at line 981), UNDER the 15 threshold, so this is deliberately not filed as a churn × complexity hotspot — the difficulty here is in the behaviour the file has to get right, not in its control flow, and refactoring it for complexity would be the wrong move. The repairs counted were: “Fix line bending when expanding nearly collapsed endpoints (#5078)”; “fix(docs): remove redundant backslash escaping in raw docstrings (#5063)”; “Fix ``Angle`` crash on parallel/collinear lines (#1930) (#4907)”. Each one is a case this code did not handle. Before the next change lands here, check that every one of them is pinned by a test that fails without its fix; where the same area keeps coming back, the durable fix is usually at the interface that keeps being misused rather than at the line that was last corrected. Counted over 2026-07-26..2026-10-24, the 90 days ending at the analysed commit. Reproduce with `git log --since='2026-07-26 23:56:06 +02:00' --until='2026-10-24 23:56:06 +02:00' --full-history --no-merges -- manim/mobject/geometry/line.py`: merges are excluded because a merge re-states changes already counted at their own commits, and history is NOT path-simplified because a change that reached the file through a merged branch is still a change to it. That command counts raw commits and can read HIGHER than this row, which counts a cherry-picked re-land, and a revert together with the commit it undoes, once each — a difference of several commits on a file whose history was re-landed or reverted inside the window.
Repeated repair: manim/utils/space_ops.py manim/utils/space_ops.py:733 — manim/utils/space_ops.py changed 4 times in last 90 days and 3 of those changes were fix/bug commits, so repair is the majority of this file's churn. Its max cyclomatic complexity is 8 (its worst body is space_ops.earclip_triangulation at line 733), UNDER the 15 threshold, so this is deliberately not filed as a churn × complexity hotspot — the difficulty here is in the behaviour the file has to get right, not in its control flow, and refactoring it for complexity would be the wrong move. The repairs counted were: “fix(space_ops): flip the axis when angle_axis_from_quaternion folds the angle (#4980)”; “Fix: Make `normalize` properly check for a fallback when vector norm is 0 (#5001)”; “Fix triangulation ring off-by-one error (#4819)”. Each one is a case this code did not handle. Before the next change lands here, check that every one of them is pinned by a test that fails without its fix; where the same area keeps coming back, the durable fix is usually at the interface that keeps being misused rather than at the line that was last corrected. Counted over 2026-07-26..2026-10-24, the 90 days ending at the analysed commit. Reproduce with `git log --since='2026-07-26 23:56:06 +02:00' --until='2026-10-24 23:56:06 +02:00' --full-history --no-merges -- manim/utils/space_ops.py`: merges are excluded because a merge re-states changes already counted at their own commits, and history is NOT path-simplified because a change that reached the file through a merged branch is still a change to it. That command counts raw commits and can read HIGHER than this row, which counts a cherry-picked re-land, and a revert together with the commit it undoes, once each — a difference of several commits on a file whose history was re-landed or reverted inside the window.

D29 · Static Analysis (SAST) · REDACTED · ×2

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D29 · Static Analysis (SAST) · REDACTED · ×2

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D4 · Code Duplication · Duplicated block (28 lines × 2) · ×2

Duplicated block (28 lines × 2) manim/mobject/mobject.py:2078 — manim/mobject/mobject.py:2078-2105 | manim/mobject/opengl/opengl_mobject.py:2232-2259 — before extracting anything, compare `manim/mobject/mobject.py` and `manim/mobject/opengl/opengl_mobject.py` as WHOLE FILES: this scan already matched 10 separate duplicated blocks between them, totalling at least 115 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (28 lines × 2) manim/mobject/three_d/three_dimensions.py:744 — manim/mobject/three_d/three_dimensions.py:744-771 | manim/mobject/three_d/three_dimensions.py:913-940 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.

D4 · Code Duplication · Duplicated block (18 lines × 2) · ×2

Duplicated block (18 lines × 2) manim/mobject/opengl/opengl_vectorized_mobject.py:1238 — manim/mobject/opengl/opengl_vectorized_mobject.py:1238-1255 | manim/mobject/types/vectorized_mobject.py:1864-1881 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice.
Duplicated block (18 lines × 2) manim/mobject/geometry/line.py:182 — manim/mobject/geometry/line.py:182-199 | manim/mobject/three_d/three_dimensions.py:1061-1081 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.

D4 · Code Duplication · Duplicated block (14 lines × 2) · ×2

Duplicated block (14 lines × 2) manim/mobject/mobject.py:3007 — manim/mobject/mobject.py:3007-3020 | manim/mobject/opengl/opengl_mobject.py:1416-1429 — before extracting anything, compare `manim/mobject/mobject.py` and `manim/mobject/opengl/opengl_mobject.py` as WHOLE FILES: this scan already matched 10 separate duplicated blocks between them, totalling at least 115 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. The `return` at the foot of the matched lines is the enclosing body's own terminal exit, not an early one: it moves with them unchanged, and each site calls the extracted unit from the position that `return` occupied — no decision has to be handed back and re-acted on.
Duplicated block (14 lines × 2) manim/mobject/mobject.py:3432 — manim/mobject/mobject.py:3432-3445 | manim/mobject/opengl/opengl_mobject.py:2866-2879 — before extracting anything, compare `manim/mobject/mobject.py` and `manim/mobject/opengl/opengl_mobject.py` as WHOLE FILES: this scan already matched 10 separate duplicated blocks between them, totalling at least 115 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place.

D4 · Code Duplication · Duplicated block (13 lines × 2) · ×2

Duplicated block (13 lines × 2) manim/mobject/geometry/arc.py:1019 — manim/mobject/geometry/arc.py:1019-1031 | manim/mobject/opengl/opengl_geometry.py:427-439 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `manim/mobject/geometry/arc.py:1019` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The `return` at the foot of the matched lines is the enclosing body's own terminal exit, not an early one: it moves with them unchanged, and each site calls the extracted unit from the position that `return` occupied — no decision has to be handed back and re-acted on.
Duplicated block (13 lines × 2) manim/mobject/opengl/opengl_point_cloud_mobject.py:123 — manim/mobject/opengl/opengl_point_cloud_mobject.py:123-135 | manim/mobject/types/point_cloud_mobject.py:144-156 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. The `return` at the foot of the matched lines is the enclosing body's own terminal exit, not an early one: it moves with them unchanged, and each site calls the extracted unit from the position that `return` occupied — no decision has to be handed back and re-acted on.

D4 · Code Duplication · Duplicated block (12 lines × 2) · ×2

Duplicated block (12 lines × 2) manim/mobject/graphing/coordinate_systems.py:776 — manim/mobject/graphing/coordinate_systems.py:776-787 | manim/mobject/three_d/three_dimensions.py:331-342 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `manim/mobject/graphing/coordinate_systems.py:776` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (12 lines × 2) manim/scene/scene.py:785 — manim/scene/scene.py:785-796 | manim/utils/family_ops.py:39-50 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `manim/scene/scene.py:785` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. Note first that the copies are not typed on the same thing: the declarations holding them bind `list_to_examine` to `Iterable[Mobject]` in one and `list[Mobject]` in another, and the duplicated lines use it. The extracted unit therefore needs a parameter type that fits BOTH — their common supertype where they have one, or a new abstraction over them where they do not — and settling that is the step that comes BEFORE the extraction above. Where the two types are deliberately unrelated, the duplication is the price of that separation and the honest resolution is to record the decision rather than to extract.

D4 · Code Duplication · Duplicated block (10 lines × 2) · ×2

Duplicated block (10 lines × 2) manim/mobject/mobject.py:2994 — manim/mobject/mobject.py:2994-3003 | manim/mobject/opengl/opengl_mobject.py:1405-1414 — before extracting anything, compare `manim/mobject/mobject.py` and `manim/mobject/opengl/opengl_mobject.py` as WHOLE FILES: this scan already matched 10 separate duplicated blocks between them, totalling at least 115 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. Read the line range as the matched WINDOW rather than a finished unit: at `manim/mobject/mobject.py:2994` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (10 lines × 2) manim/mobject/geometry/arc.py:1005 — manim/mobject/geometry/arc.py:1005-1014 | manim/mobject/opengl/opengl_geometry.py:413-422 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice.

D4 · Code Duplication · Duplicated block (27 lines × 2) · ×2

Duplicated block (27 lines × 2) manim/mobject/matrix.py:312 — manim/mobject/matrix.py:312-339 | manim/mobject/table.py:533-559 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from both call sites, so a change lands once.
Duplicated block (27 lines × 2) manim/mobject/matrix.py:364 — manim/mobject/matrix.py:364-391 | manim/mobject/table.py:562-588 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from both call sites, so a change lands once.

D4 · Code Duplication · Duplicated block (9 lines × 2) · ×2

Duplicated block (9 lines × 2) manim/mobject/opengl/opengl_mobject.py:1898 — manim/mobject/opengl/opengl_mobject.py:1898-1906 | manim/renderer/shader.py:171-179 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (9 lines × 2) manim/mobject/mobject.py:2536 — manim/mobject/mobject.py:2536-2544 | manim/mobject/opengl/opengl_mobject.py:2577-2585 — before extracting anything, compare `manim/mobject/mobject.py` and `manim/mobject/opengl/opengl_mobject.py` as WHOLE FILES: this scan already matched 10 separate duplicated blocks between them, totalling at least 115 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it. Note first that the copies are not typed on the same thing: the declarations holding them bind `n_pieces` to `float` in one and `int` in another, and the duplicated lines use it. The extracted unit therefore needs a parameter type that fits BOTH — their common supertype where they have one, or a new abstraction over them where they do not — and settling that is the step that comes BEFORE the extraction above. Where the two types are deliberately unrelated, the duplication is the price of that separation and the honest resolution is to record the decision rather than to extract.

X27 · Collection changed while being enumerated · Collection is structurally changed while it is being enumerated · ×2

Collection is structurally changed while it is being enumerated manim/cli/cfg/group.py:131 — `default` is walked directly by the `for` on line 131, and line 134 calls `del default[…]` inside the loop body — a change to the size of a dict this file builds. The loop's next step raises `RuntimeError: dictionary changed size during iteration`, so every pass that reaches this call ends the loop by exception and the remaining items are never seen.
Collection is structurally changed while it is being enumerated manim/cli/cfg/group.py:131 — `default` is walked directly by the `for` on line 131, and line 139 calls `del default[…]` inside the loop body — a change to the size of a dict this file builds. The loop's next step raises `RuntimeError: dictionary changed size during iteration`, so every pass that reaches this call ends the loop by exception and the remaining items are never seen.

X3 · Exception handling · Swallowed exception (caught, then discarded) · ×2

Swallowed exception (caught, then discarded) manim/utils/testing/frames_comparison.py:123 — `except Exception` takes every exception and records none of it — the body neither logs it, rethrows it, nor even names it, so the failure is discarded as completely as by an empty catch and only the substituted value survives. Log it through whatever this codebase already uses to report problems, narrow the catch to the exception this call can actually raise, or say in a comment on the catch why the failure genuinely cannot matter.
Swallowed exception (caught, then discarded) REDACTED:289 — `except Exception` takes every exception and records none of it — the body neither logs it, rethrows it, nor even names it, so the failure is discarded as completely as by an empty catch and only the substituted value survives. Log it through whatever this codebase already uses to report problems, narrow the catch to the exception this call can actually raise, or say in a comment on the catch why the failure genuinely cannot matter.

D1 · Cyclomatic Complexity · module_parsing.parse_module_attributes (cyclomatic 35) · ×1

module_parsing.parse_module_attributes (cyclomatic 35) manim/utils/docbuild/module_parsing.py:62 — module_parsing.parse_module_attributes has cyclomatic complexity 35 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.

D1 · Cyclomatic Complexity · Text.__init__ (cyclomatic 25) · ×1

Text.__init__ (cyclomatic 25) manim/mobject/text/text_mobject.py:448 — Text.__init__ has cyclomatic complexity 25 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.

D1 · Cyclomatic Complexity · MarkupText.__init__ (cyclomatic 24) · ×1

MarkupText.__init__ (cyclomatic 24) manim/mobject/text/text_mobject.py:1181 — MarkupText.__init__ has cyclomatic complexity 24 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.

D1 · Cyclomatic Complexity · Code.__init__ (cyclomatic 23) · ×1

Code.__init__ (cyclomatic 23) manim/mobject/text/code_mobject.py:172 — Code.__init__ has cyclomatic complexity 23 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.

D1 · Cyclomatic Complexity · output_plan.resolve_output_plan (cyclomatic 20) · ×1

output_plan.resolve_output_plan (cyclomatic 20) manim/_config/output_plan.py:250 — output_plan.resolve_output_plan has cyclomatic complexity 20 (threshold 15). To reduce it, split the body: these branches sit side by side rather than nested inside one another, so extracting each one on its own would leave a function per branch. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.

D1 · Cyclomatic Complexity · Scene.interact (cyclomatic 20) · ×1

Scene.interact (cyclomatic 20) manim/scene/scene.py:1523 — Scene.interact has cyclomatic complexity 20 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.

D1 · Cyclomatic Complexity · ManimConfig.digest_args (cyclomatic 19) · ×1

ManimConfig.digest_args (cyclomatic 19) manim/_config/utils.py:719 — ManimConfig.digest_args has cyclomatic complexity 19 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.

D1 · Cyclomatic Complexity · group.write (cyclomatic 19) · ×1

group.write (cyclomatic 19) manim/cli/cfg/group.py:167 — group.write has cyclomatic complexity 19 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.

D1 · Cyclomatic Complexity · graph._tree_layout (cyclomatic 19) · ×1

graph._tree_layout (cyclomatic 19) manim/mobject/graph.py:319 — graph._tree_layout has cyclomatic complexity 19 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.

D1 · Cyclomatic Complexity · StreamLines.__init__ (cyclomatic 19) · ×1

StreamLines.__init__ (cyclomatic 19) manim/mobject/vector_field.py:759 — StreamLines.__init__ has cyclomatic complexity 19 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.

D1 · Cyclomatic Complexity · Text._text2settings (cyclomatic 17) · ×1

Text._text2settings (cyclomatic 17) manim/mobject/text/text_mobject.py:768 — Text._text2settings has cyclomatic complexity 17 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.

D1 · Cyclomatic Complexity · DashedVMobject.__init__ (cyclomatic 17) · ×1

DashedVMobject.__init__ (cyclomatic 17) manim/mobject/types/vectorized_mobject.py:2915 — DashedVMobject.__init__ has cyclomatic complexity 17 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.

D1 · Cyclomatic Complexity · render_session.resolve_render_session (cyclomatic 16) · ×1

render_session.resolve_render_session (cyclomatic 16) manim/_config/render_session.py:56 — render_session.resolve_render_session has cyclomatic complexity 16 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.

D1 · Cyclomatic Complexity · commands.render (cyclomatic 16) · ×1

commands.render (cyclomatic 16) REDACTED:80 — commands.render has cyclomatic complexity 16 (threshold 15). To reduce it, separate the branches: extract each independent case into its own named function so the top-level body reads as a short sequence of named decisions.

D1 · Cyclomatic Complexity · GenericGraph.__init__ (cyclomatic 16) · ×1

GenericGraph.__init__ (cyclomatic 16) manim/mobject/graph.py:567 — GenericGraph.__init__ has cyclomatic complexity 16 (threshold 15). To reduce it, split the body: these branches sit side by side rather than nested inside one another, so extracting each one on its own would leave a function per branch. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.

D17 · Explicit Debt · FixmeComment · ×1

FixmeComment manim/animation/creation.py:280 — # Fixme: not matching the parent class? What is outline doing here? — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `# REF: #123`), so the task is planned where tasks live and the ticket links back to the code.

D2 · Cognitive Complexity · module_parsing.parse_module_attributes (cognitive 68) · ×1

module_parsing.parse_module_attributes (cognitive 68) manim/utils/docbuild/module_parsing.py:62 — module_parsing.parse_module_attributes has cognitive complexity 68 (threshold 15). Drivers by points: if/else 16 (43 pts), boolean chains 14, loops 3 (6 pts), ternaries 1 (5 pts) (nesting depth added 34). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · group.write (cognitive 49) · ×1

group.write (cognitive 49) manim/cli/cfg/group.py:167 — group.write has cognitive complexity 49 (threshold 15). Drivers by points: if/else 12 (23 pts), loops 3 (10 pts), ternaries 2 (8 pts), boolean chains 4, error handling 1 (4 pts) (nesting depth added 27). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · Scene.interact (cognitive 40) · ×1

Scene.interact (cognitive 40) manim/scene/scene.py:1523 — Scene.interact has cognitive complexity 40 (threshold 15). Drivers by points: if/else 11 (27 pts), loops 3 (7 pts), boolean chains 6 (nesting depth added 20). To reduce it, flatten the nesting: this score is depth rather than breadth — most of its points come from checks stacked inside one another, so the work sits several levels in. Invert each enclosing check into an early exit (a return, or the language's equivalent) so the happy path stays at one level, and where a level cannot be exited early, lift the block it encloses into its own named function.

D2 · Cognitive Complexity · QuickHull.build (cognitive 38) · ×1

QuickHull.build (cognitive 38) manim/utils/qhull.py:188 — QuickHull.build has cognitive complexity 38 (threshold 15). Drivers by points: loops 6 (21 pts), if/else 6 (16 pts), boolean chains 1 (nesting depth added 25). To reduce it, break up the iteration: give each loop body a named function, and split a multi-phase loop into one function per phase so no single body carries the whole pipeline.

D2 · Cognitive Complexity · AliasAttrDocumenter.run (cognitive 37) · ×1

AliasAttrDocumenter.run (cognitive 37) manim/utils/docbuild/autoaliasattr_directive.py:100 — AliasAttrDocumenter.run has cognitive complexity 37 (threshold 15). Drivers by points: loops 6 (22 pts), if/else 6 (15 pts) (nesting depth added 25). To reduce it, break up the iteration: give each loop body a named function, and split a multi-phase loop into one function per phase so no single body carries the whole pipeline.

D2 · Cognitive Complexity · Code.__init__ (cognitive 35) · ×1

Code.__init__ (cognitive 35) manim/mobject/text/code_mobject.py:172 — Code.__init__ has cognitive complexity 35 (threshold 15). Drivers by points: if/else 16 (25 pts), loops 4 (5 pts), boolean chains 3, ternaries 2 (nesting depth added 10). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · Angle.__init__ (cognitive 34) · ×1

Angle.__init__ (cognitive 34) manim/mobject/geometry/line.py:981 — Angle.__init__ has cognitive complexity 34 (threshold 15). Drivers by points: if/else 20 (32 pts), boolean chains 1, error handling 1 (nesting depth added 12). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · Text.__init__ (cognitive 34) · ×1

Text.__init__ (cognitive 34) manim/mobject/text/text_mobject.py:448 — Text.__init__ has cognitive complexity 34 (threshold 15). Drivers by points: if/else 19 (27 pts), boolean chains 3, loops 2 (3 pts), ternaries 1 (nesting depth added 9). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · graph._tree_layout (cognitive 33) · ×1

graph._tree_layout (cognitive 33) manim/mobject/graph.py:319 — graph._tree_layout has cognitive complexity 33 (threshold 15). Drivers by points: if/else 11 (19 pts), ternaries 3 (7 pts), boolean chains 4, loops 2 (3 pts) (nesting depth added 13). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · MarkupText.__init__ (cognitive 33) · ×1

MarkupText.__init__ (cognitive 33) manim/mobject/text/text_mobject.py:1181 — MarkupText.__init__ has cognitive complexity 33 (threshold 15). Drivers by points: if/else 16 (24 pts), loops 4 (5 pts), boolean chains 3, ternaries 1 (nesting depth added 9). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · DashedVMobject.__init__ (cognitive 33) · ×1

DashedVMobject.__init__ (cognitive 33) manim/mobject/types/vectorized_mobject.py:2915 — DashedVMobject.__init__ has cognitive complexity 33 (threshold 15). Drivers by points: if/else 16 (26 pts), loops 1 (3 pts), ternaries 1 (3 pts), boolean chains 1 (nesting depth added 14). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · StreamLines.__init__ (cognitive 33) · ×1

StreamLines.__init__ (cognitive 33) manim/mobject/vector_field.py:759 — StreamLines.__init__ has cognitive complexity 33 (threshold 15). Drivers by points: if/else 18 (27 pts), loops 3 (4 pts), boolean chains 1, ternaries 1 (nesting depth added 10). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · Text._text2settings (cognitive 31) · ×1

Text._text2settings (cognitive 31) manim/mobject/text/text_mobject.py:768 — Text._text2settings has cognitive complexity 31 (threshold 15). Drivers by points: if/else 8 (18 pts), loops 6 (11 pts), boolean chains 1, ternaries 1 (nesting depth added 15). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · commands.render (cognitive 30) · ×1

commands.render (cognitive 30) REDACTED:80 — commands.render has cognitive complexity 30 (threshold 15). Drivers by points: if/else 7 (13 pts), error handling 5 (9 pts), loops 3 (7 pts), boolean chains 1 (nesting depth added 14). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · CoordinateSystem.plot (cognitive 27) · ×1

CoordinateSystem.plot (cognitive 27) manim/mobject/graphing/coordinate_systems.py:640 — CoordinateSystem.plot has cognitive complexity 27 (threshold 15). Drivers by points: if/else 10 (18 pts), loops 2 (6 pts), ternaries 1 (2 pts), boolean chains 1 (nesting depth added 13). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · ManimConfig.digest_args (cognitive 25) · ×1

ManimConfig.digest_args (cognitive 25) manim/_config/utils.py:719 — ManimConfig.digest_args has cognitive complexity 25 (threshold 15). Drivers by points: if/else 14 (20 pts), error handling 1 (2 pts), loops 2, ternaries 1 (nesting depth added 7). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · SceneFileWriter.combine_files (cognitive 25) · ×1

SceneFileWriter.combine_files (cognitive 25) manim/scene/scene_file_writer.py:747 — SceneFileWriter.combine_files has cognitive complexity 25 (threshold 15). Drivers by points: if/else 7 (13 pts), loops 4 (8 pts), error handling 1 (3 pts), boolean chains 1 (nesting depth added 12). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · Surface.set_fill_by_value (cognitive 24) · ×1

Surface.set_fill_by_value (cognitive 24) manim/mobject/three_d/three_dimensions.py:234 — Surface.set_fill_by_value has cognitive complexity 24 (threshold 15). Drivers by points: if/else 9 (18 pts), loops 2 (4 pts), boolean chains 2 (nesting depth added 11). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · ThreeDScene.move_camera (cognitive 24) · ×1

ThreeDScene.move_camera (cognitive 24) manim/scene/three_d_scene.py:211 — ThreeDScene.move_camera has cognitive complexity 24 (threshold 15). Drivers by points: if/else 9 (19 pts), loops 2 (4 pts), boolean chains 1 (nesting depth added 12). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · render_session.resolve_render_session (cognitive 23) · ×1

render_session.resolve_render_session (cognitive 23) manim/_config/render_session.py:56 — render_session.resolve_render_session has cognitive complexity 23 (threshold 15). Drivers by points: if/else 10 (13 pts), boolean chains 6, ternaries 1 (4 pts) (nesting depth added 6). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · OpenGLRenderer.render_mobject (cognitive 22) · ×1

OpenGLRenderer.render_mobject (cognitive 22) manim/renderer/opengl_renderer.py:698 — OpenGLRenderer.render_mobject has cognitive complexity 22 (threshold 15). Drivers by points: if/else 6 (11 pts), loops 3 (5 pts), ternaries 2 (4 pts), error handling 1 (2 pts) (nesting depth added 10). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · output_plan.resolve_output_plan (cognitive 21) · ×1

output_plan.resolve_output_plan (cognitive 21) manim/_config/output_plan.py:250 — output_plan.resolve_output_plan has cognitive complexity 21 (threshold 15). Drivers by points: if/else 11 (12 pts), boolean chains 5, ternaries 3 (4 pts) (nesting depth added 2). To reduce it, split the body: most of this score is breadth rather than depth — checks laid out side by side rather than stacked — so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition.

D2 · Cognitive Complexity · MovingCamera._get_bounding_box (cognitive 21) · ×1

MovingCamera._get_bounding_box (cognitive 21) manim/camera/moving_camera.py:245 — MovingCamera._get_bounding_box has cognitive complexity 21 (threshold 15). Drivers by points: if/else 8 (18 pts), boolean chains 2, loops 1 (nesting depth added 10). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · Polygram.round_corners (cognitive 21) · ×1

Polygram.round_corners (cognitive 21) manim/mobject/geometry/polygram.py:165 — Polygram.round_corners has cognitive complexity 21 (threshold 15). Drivers by points: if/else 8 (16 pts), loops 3 (5 pts) (nesting depth added 10). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · _BooleanOps._convert_vmobject_to_skia_path (cognitive 20) · ×1

_BooleanOps._convert_vmobject_to_skia_path (cognitive 20) manim/mobject/geometry/boolean_ops.py:63 — _BooleanOps._convert_vmobject_to_skia_path has cognitive complexity 20 (threshold 15). Drivers by points: if/else 6 (10 pts), loops 4 (10 pts) (nesting depth added 10). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · GenericGraph.__init__ (cognitive 20) · ×1

GenericGraph.__init__ (cognitive 20) manim/mobject/graph.py:567 — GenericGraph.__init__ has cognitive complexity 20 (threshold 15). Drivers by points: if/else 13 (17 pts), loops 2, boolean chains 1 (nesting depth added 4). To reduce it, split the body: most of this score is breadth rather than depth — checks laid out side by side rather than stacked — so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition, and where an else follows a branch that already returns, drop the trailing else and let the rest of the body continue at one level.

D2 · Cognitive Complexity · OpenGLMobject.set_rgba_array (cognitive 20) · ×1

OpenGLMobject.set_rgba_array (cognitive 20) manim/mobject/opengl/opengl_mobject.py:2263 — OpenGLMobject.set_rgba_array has cognitive complexity 20 (threshold 15). Drivers by points: loops 3 (6 pts), ternaries 2 (6 pts), if/else 5, boolean chains 3 (nesting depth added 7). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · SceneFileWriter.combine_to_movie (cognitive 20) · ×1

SceneFileWriter.combine_to_movie (cognitive 20) manim/scene/scene_file_writer.py:857 — SceneFileWriter.combine_to_movie has cognitive complexity 20 (threshold 15). Drivers by points: if/else 8 (13 pts), loops 3 (6 pts), boolean chains 1 (nesting depth added 8). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · file_ops.open_file (cognitive 20) · ×1

file_ops.open_file (cognitive 20) manim/utils/file_ops.py:97 — file_ops.open_file has cognitive complexity 20 (threshold 15). Drivers by points: ternaries 4 (11 pts), if/else 6 (9 pts) (nesting depth added 10). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · commands.project (cognitive 18) · ×1

commands.project (cognitive 18) manim/cli/init/commands.py:100 — commands.project has cognitive complexity 18 (threshold 15). Drivers by points: if/else 9 (15 pts), loops 1 (3 pts) (nesting depth added 8). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · CoordinateSystem.get_riemann_rectangles (cognitive 18) · ×1

CoordinateSystem.get_riemann_rectangles (cognitive 18) manim/mobject/graphing/coordinate_systems.py:1189 — CoordinateSystem.get_riemann_rectangles has cognitive complexity 18 (threshold 15). Drivers by points: if/else 11 (16 pts), boolean chains 1, loops 1 (nesting depth added 5). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · OpenGLMobject._insert_submobjects (cognitive 18) · ×1

OpenGLMobject._insert_submobjects (cognitive 18) manim/mobject/opengl/opengl_mobject.py:834 — OpenGLMobject._insert_submobjects has cognitive complexity 18 (threshold 15). Drivers by points: if/else 12 (17 pts), loops 1 (nesting depth added 5). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · MathTex._split_double_braces (cognitive 18) · ×1

MathTex._split_double_braces (cognitive 18) manim/mobject/text/tex_mobject.py:351 — MathTex._split_double_braces has cognitive complexity 18 (threshold 15). Drivers by points: if/else 6 (12 pts), boolean chains 5, loops 1 (nesting depth added 6). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · release._find_pull_request_blocks (cognitive 18) · ×1

release._find_pull_request_blocks (cognitive 18) scripts/release.py:306 — release._find_pull_request_blocks has cognitive complexity 18 (threshold 15). Drivers by points: if/else 4 (9 pts), loops 3 (5 pts), boolean chains 4 (nesting depth added 7). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · Mobject.become (cognitive 17) · ×1

Mobject.become (cognitive 17) manim/mobject/mobject.py:3321 — Mobject.become has cognitive complexity 17 (threshold 15). Drivers by points: if/else 7 (15 pts), boolean chains 1, loops 1 (nesting depth added 8). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · OpenGLMobject.apply_points_function (cognitive 17) · ×1

OpenGLMobject.apply_points_function (cognitive 17) manim/mobject/opengl/opengl_mobject.py:679 — OpenGLMobject.apply_points_function has cognitive complexity 17 (threshold 15). Drivers by points: if/else 7 (11 pts), loops 3 (5 pts), boolean chains 1 (nesting depth added 6). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · bezier.proportions_along_bezier_curve_for_point (cognitive 17) · ×1

bezier.proportions_along_bezier_curve_for_point (cognitive 17) manim/utils/bezier.py:1967 — bezier.proportions_along_bezier_curve_for_point has cognitive complexity 17 (threshold 15). Drivers by points: if/else 6 (11 pts), loops 3 (6 pts) (nesting depth added 8). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · ManimDirective.run (cognitive 17) · ×1

ManimDirective.run (cognitive 17) REDACTED:181 — ManimDirective.run has cognitive complexity 17 (threshold 15). Drivers by points: if/else 11 (12 pts), boolean chains 3, error handling 1, ternaries 1 (nesting depth added 1). To reduce it, split the body: this score is breadth rather than depth — many checks laid out side by side rather than nested inside one another, so inverting conditions into early returns has nothing left to flatten. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.

D2 · Cognitive Complexity · _CustomEncoder.default (cognitive 17) · ×1

_CustomEncoder.default (cognitive 17) manim/utils/hashing.py:243 — _CustomEncoder.default has cognitive complexity 17 (threshold 15). Drivers by points: if/else 5 (11 pts), boolean chains 2, error handling 1 (2 pts), loops 1 (2 pts) (nesting depth added 8). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · release.fetch_releases (cognitive 17) · ×1

release.fetch_releases (cognitive 17) scripts/release.py:691 — release.fetch_releases has cognitive complexity 17 (threshold 15). Drivers by points: if/else 7 (12 pts), boolean chains 4, loops 1 (nesting depth added 5). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · ManimConfig.digest_parser (cognitive 16) · ×1

ManimConfig.digest_parser (cognitive 16) manim/_config/utils.py:528 — ManimConfig.digest_parser has cognitive complexity 16 (threshold 15). Drivers by points: if/else 9, loops 4, boolean chains 1, error handling 1, ternaries 1. To reduce it, split the body: this score is breadth rather than depth — many checks laid out side by side rather than nested inside one another, so inverting conditions into early returns has nothing left to flatten. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.

D2 · Cognitive Complexity · Mobject.arrange_in_grid (cognitive 16) · ×1

Mobject.arrange_in_grid (cognitive 16) manim/mobject/mobject.py:2767 — Mobject.arrange_in_grid has cognitive complexity 16 (threshold 15). Drivers by points: if/else 8 (10 pts), loops 2 (3 pts), ternaries 2, boolean chains 1 (nesting depth added 3). To reduce it, split the body: this score is breadth rather than depth — many checks laid out side by side rather than nested inside one another, so inverting conditions into early returns has nothing left to flatten. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.

D2 · Cognitive Complexity · SVGMobject.get_mobjects_from (cognitive 16) · ×1

SVGMobject.get_mobjects_from (cognitive 16) REDACTED:266 — SVGMobject.get_mobjects_from has cognitive complexity 16 (threshold 15). Drivers by points: if/else 3 (7 pts), loops 2 (5 pts), error handling 2 (4 pts) (nesting depth added 9). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D2 · Cognitive Complexity · ManimColorModuleDocumenter.run (cognitive 16) · ×1

ManimColorModuleDocumenter.run (cognitive 16) manim/utils/docbuild/autocolor_directive.py:33 — ManimColorModuleDocumenter.run has cognitive complexity 16 (threshold 15). Drivers by points: if/else 3 (6 pts), loops 5 (6 pts), ternaries 1 (3 pts), error handling 1 (nesting depth added 6). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.

D29 · Static Analysis (SAST) · REDACTED · ×1

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D36 · Supply-chain Provenance & Signing · REDACTED · ×1

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D36 · Supply-chain Provenance & Signing REDACTED · ×1

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D36 · Supply-chain Provenance & Signing REDACTED · ×1

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D36 · Supply-chain Provenance & Signing REDACTED · ×1

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D36 · Supply-chain Provenance & Signing REDACTED · ×1

REDACTED

D4 · Code Duplication · Near-duplicate member pair (87 shared lines) · ×1

Near-duplicate member pair (87 shared lines) manim/mobject/text/text_mobject.py:475 — manim/mobject/text/text_mobject.py:475-618 | manim/mobject/text/text_mobject.py:1202-1344 — These two members are variants of one another: 87 of their lines are already reported as duplicated blocks below, spread through both bodies rather than gathered into one. Read them as a single construct written twice. The repair is at the members' grain — factor the shared pipeline into one implementation the two call with their differences as parameters or as an injected step, or, where the difference is systematic (sync against async, one transport against another), generate one from the other. Extracting the individual blocks below is not the same fix: it leaves the two bodies in place and the next edit still has to be made twice.

D4 · Code Duplication · Duplicated block (58–59 lines × 2) · ×1

Duplicated block (58–59 lines × 2) manim/mobject/text/text_mobject.py:556 — manim/mobject/text/text_mobject.py:556-614 | manim/mobject/text/text_mobject.py:1265-1322 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. ★ These copies have DRIFTED, and that is worth reading before extracting anything: just before the matched lines, `manim/mobject/text/text_mobject.py:555` calls `_gen_chars` and `manim/mobject/text/text_mobject.py:1263` does not — after which the two agree again for 2 more lines. One of those two behaviours is the intended one and the other is what a copy-paste left behind, so decide which BEFORE unifying them: extracting the shared part will silently settle it, and if the copy that skips the call is the wrong one, that bug is already live.

D4 · Code Duplication · Duplicated block (22–29 lines × 2) · ×1

Duplicated block (22–29 lines × 2) manim/renderer/cairo_renderer.py:262 — manim/renderer/cairo_renderer.py:262-283 | manim/renderer/opengl_renderer.py:851-879 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from both call sites, so a change lands once. Note first that the copies are not typed on the same thing: `EndSceneEarlyException` names `..utils.exceptions` in one and `manim.utils.exceptions` in another — different types that share a simple name, which is why the text matched. A single extracted unit cannot be given a parameter type that fits both, so unifying those types (or introducing a shared abstraction over them) is the step that has to come BEFORE the extraction above; if they are deliberately separate, the duplication is the price of that separation and the honest resolution is to record the decision rather than to extract.

D4 · Code Duplication · Duplicated block (21–23 lines × 2) · ×1

Duplicated block (21–23 lines × 2) manim/mobject/text/text_mobject.py:476 — manim/mobject/text/text_mobject.py:476-498 | manim/mobject/text/text_mobject.py:1204-1224 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.

D4 · Code Duplication · Duplicated block (21–22 lines × 2) · ×1

Duplicated block (21–22 lines × 2) manim/mobject/graphing/coordinate_systems.py:2826 — manim/mobject/graphing/coordinate_systems.py:2826-2847 | manim/mobject/graphing/coordinate_systems.py:3123-3143 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.

D4 · Code Duplication · Duplicated block (21 lines × 2) · ×1

Duplicated block (21 lines × 2) manim/mobject/opengl/opengl_vectorized_mobject.py:1034 — manim/mobject/opengl/opengl_vectorized_mobject.py:1034-1054 | manim/mobject/types/vectorized_mobject.py:1719-1739 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.

D4 · Code Duplication · Duplicated block (20 lines × 2) · ×1

Duplicated block (20 lines × 2) manim/mobject/vector_field.py:599 — manim/mobject/vector_field.py:599-618 | manim/mobject/vector_field.py:805-824 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.

D4 · Code Duplication · Duplicated block (19 lines × 2) · ×1

Duplicated block (19 lines × 2) manim/mobject/opengl/opengl_vectorized_mobject.py:911 — manim/mobject/opengl/opengl_vectorized_mobject.py:911-930 | manim/mobject/types/vectorized_mobject.py:1504-1522 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice.

D4 · Code Duplication · Duplicated block (14–18 lines × 2) · ×1

Duplicated block (14–18 lines × 2) manim/mobject/text/text_mobject.py:1442 — manim/mobject/text/text_mobject.py:1442-1455 | manim/mobject/text/text_mobject.py:1483-1500 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `manim/mobject/text/text_mobject.py:1442` it runs out through the closing brace of the declaration holding it and carries on into the declaration that follows — the window is the tail of one member plus the head of the next, so no call can be substituted for those exact lines, and the smallest declaration that contains all of them is the type they sit in. The repeated unit is the member each site sits in: where those members' bodies are the same, move one whole member to the shared location and have the others delegate to it; where the copies are a run of near-identical overloads or wrappers that differ only in their signatures, the repetition IS the run — a one-line delegation has no helper inside it to lift — so generate the run from the set it enumerates, or accept it and keep each member's own documentation with it.

D4 · Code Duplication · Duplicated block (16–17 lines × 2) · ×1

Duplicated block (16–17 lines × 2) manim/mobject/text/text_mobject.py:1457 — manim/mobject/text/text_mobject.py:1457-1473 | manim/mobject/text/text_mobject.py:1502-1517 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.

D4 · Code Duplication · Duplicated block (11–14 lines × 2) · ×1

Duplicated block (11–14 lines × 2) manim/mobject/mobject.py:2971 — manim/mobject/mobject.py:2971-2984 | manim/mobject/opengl/opengl_mobject.py:1382-1392 — before extracting anything, compare `manim/mobject/mobject.py` and `manim/mobject/opengl/opengl_mobject.py` as WHOLE FILES: this scan already matched 10 separate duplicated blocks between them, totalling at least 115 lines, which is the signature of one file having been copied from the other rather than of a helper waiting to be extracted. The two sit in different directories, so one cannot simply be deleted in favour of the other while both are reached separately: hoist the shared part into a location both already depend on and have each file call it, and retire whichever file turns out to have no caller of its own left. Extracting one helper per block leaves the fork in place. Read the line range as the matched WINDOW rather than a finished unit: at `manim/mobject/mobject.py:2971` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.

D4 · Code Duplication · Duplicated block (11–12 lines × 3) · ×1

Duplicated block (11–12 lines × 3) manim/mobject/graphing/coordinate_systems.py:3266 — manim/mobject/graphing/coordinate_systems.py:3266-3277 | manim/mobject/graphing/coordinate_systems.py:3279-3290 | manim/mobject/graphing/coordinate_systems.py:3291-3301 — all 3 copies are in the same file, so extract the block into one function there and call it from every one of those sites — resolving only two of them leaves the rest to drift apart the first time one is edited. Read the line range as the matched WINDOW rather than a finished unit: at `manim/mobject/graphing/coordinate_systems.py:3266` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.

D4 · Code Duplication · Duplicated block (9–11 lines × 2) · ×1

Duplicated block (9–11 lines × 2) manim/mobject/opengl/dot_cloud.py:32 — manim/mobject/opengl/dot_cloud.py:32-40 | manim/mobject/types/point_cloud_mobject.py:383-393 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `manim/mobject/opengl/dot_cloud.py:32` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.

D4 · Code Duplication · Duplicated block (11 lines × 2) · ×1

Duplicated block (11 lines × 2) manim/mobject/opengl/opengl_vectorized_mobject.py:346 — manim/mobject/opengl/opengl_vectorized_mobject.py:346-356 | manim/mobject/types/vectorized_mobject.py:461-471 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.

D4 · Code Duplication · Duplicated block (6 lines × 2) · ×1

Duplicated block (6 lines × 2) manim/mobject/geometry/arc.py:1093 — manim/mobject/geometry/arc.py:1093-1098 | manim/mobject/opengl/opengl_geometry.py:458-463 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice.

D4 · Code Duplication · Duplicated block (7 lines × 2) · ×1

Duplicated block (7 lines × 2) manim/mobject/geometry/line.py:267 — manim/mobject/geometry/line.py:267-275 | manim/mobject/opengl/opengl_geometry.py:583-589 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. The `return` at the foot of the matched lines is the enclosing body's own terminal exit, not an early one: it moves with them unchanged, and each site calls the extracted unit from the position that `return` occupied — no decision has to be handed back and re-acted on.

D4 · Code Duplication · Duplicated block (25 lines × 2) · ×1

Duplicated block (25 lines × 2) manim/mobject/matrix.py:285 — manim/mobject/matrix.py:285-309 | manim/mobject/table.py:476-504 — the copies sit in sibling files of one directory, so a shared home is within easy reach: extract the block into a single shared function the call sites can all reach — a file they already depend on, or a new one alongside them — and call it from both call sites, so a change lands once.

M1 · Documentation (README) · README may be stale · ×1

README may be stale — 92 code files changed in the last 6 months but the README was not touched — it may no longer reflect the system.

X17 · Uncapped recursion over a caller-supplied document · Recursive walk over a caller-supplied document has no depth cap · ×1

Recursive walk over a caller-supplied document has no depth cap manim/utils/iterables.py:545 — `hash_obj` is public and takes `obj: object` from its caller, and it calls itself at line 545 (`hash_obj`) with a piece of `obj` (and at line 548, line 551) — and nowhere in `hash_obj` is there a depth parameter, a descent counter, or any other cap. The walk therefore spends one stack frame per LEVEL of the value it is handed, so the nesting of the caller's document — not this code — decides how deep the stack goes. Python's parsers accept far more nesting than its stack allows: `json.loads` turns 3,000 bytes of brackets into 1,500 levels and `xml.etree.ElementTree` parses tens of thousands, while a walk like this one raises `RecursionError` once it passes the interpreter's default limit of 1,000 frames. Wherever that exception lands, the work fails: a request errors, and outside any `try` the worker or the program exits with it. Raising `sys.setrecursionlimit` only moves the number the document has to beat. Thread a depth argument through `hash_obj` and reject the value past a fixed maximum, or rewrite the descent with an explicit stack.

X3 · Exception handling · Swallowed exception (empty catch) · ×1

Swallowed exception (empty catch) manim/cli/render/render_options.py:55 — An empty catch block silently discards the error — failures vanish with no log and no rethrow. Log it, handle it, or don't catch it.

Minor — 66 finding(s)

D34 · Knowledge Freshness · Orphaned file · ×33

Orphaned file manim/utils/color/X11.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/mobject/opengl/opengl_surface.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/camera/three_d_camera.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file example_scenes/opengl.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/utils/paths.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/utils/color/BS381.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/utils/testing/frames_comparison.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/mobject/geometry/tips.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/renderer/vectorized_mobject_rendering.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/animation/speedmodifier.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/utils/docbuild/autoaliasattr_directive.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/mobject/value_tracker.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/utils/color/AS2700.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/animation/growing.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/utils/polylabel.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/utils/color/manim_colors.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/cli/default_group.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file example_scenes/advanced_tex_fonts.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/mobject/geometry/shape_matchers.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/renderer/shader_wrapper.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/camera/mapping_camera.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/animation/rotation.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/mobject/graphing/scale.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/utils/caching.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
Orphaned file manim/_config/logger_utils.py:1 — No one still active in this repository holds living knowledge of this file: everyone who made a meaningful change to it has gone quiet, or what the current team did to it (moves, reformatting, log-level or import edits, renames) never needed understanding it. If it breaks, no one currently understands it. Attach the read to the next change that touches it: have a second person review that change, and leave behind a short comment or test recording what the file is for.
+ 8 more in this group — see findings.md.

X10 · Duplicated predicate · Duplicated predicate · ×10

Duplicated predicate manim/renderer/cairo_renderer.py:274 — `config.from_animation_number > 0 and self.num_plays < config.from_animation_number` appears character-identically in 2 files — manim/renderer/cairo_renderer.py, manim/renderer/opengl_renderer.py. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.
Duplicated predicate manim/renderer/cairo_renderer.py:279 — `config.upto_animation_number >= 0 and self.num_plays > config.upto_animation_number` appears character-identically in 2 files — manim/renderer/cairo_renderer.py, manim/renderer/opengl_renderer.py. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.
Duplicated predicate manim/mobject/geometry/arc.py:232 — `hasattr(self, "start_tip") and self.start_tip in self` appears character-identically in 2 files — manim/mobject/geometry/arc.py, manim/mobject/opengl/opengl_geometry.py. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.
Duplicated predicate manim/mobject/geometry/arc.py:229 — `hasattr(self, "tip") and self.tip in self` appears character-identically in 2 files — manim/mobject/geometry/arc.py, manim/mobject/opengl/opengl_geometry.py. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.
Duplicated predicate manim/mobject/mobject.py:2346 — `len(submob.submobjects) != 0 or len(submob.points) != 0` appears character-identically in 2 files — manim/mobject/mobject.py, manim/mobject/types/vectorized_mobject.py. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.
Duplicated predicate manim/mobject/mobject.py:2292 — `not hasattr(self, "saved_state") or self.saved_state is None` appears character-identically in 2 files — manim/mobject/mobject.py, manim/mobject/opengl/opengl_mobject.py. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.
Duplicated predicate manim/mobject/mobject.py:2051 — `not mobject.get_num_points() and not mobject.submobjects` appears character-identically in 2 files — manim/mobject/mobject.py, manim/mobject/opengl/opengl_mobject.py. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.
Duplicated predicate manim/renderer/cairo_renderer.py:287 — `output.is_video or output.is_image_sequence` appears character-identically in 2 files — manim/renderer/cairo_renderer.py, manim/renderer/opengl_renderer.py. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.
Duplicated predicate manim/mobject/mobject.py:3588 — `self.is_chaining and has_overridden_animation` appears character-identically in 2 files — manim/mobject/mobject.py, manim/mobject/opengl/opengl_mobject.py. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.
Duplicated predicate manim/mobject/mobject.py:3614 — `self.overridden_animation or _MethodAnimation(self.mobject, self.methods)` appears character-identically in 2 files — manim/mobject/mobject.py, manim/mobject/opengl/opengl_mobject.py. It is one line, so the duplication detector's token window never sees it; the copies drift when only one is corrected. Give the condition a name and one home.

X4 · Structured logging · Interpolated log message defeats structured logging · ×7

Interpolated log message defeats structured logging manim/utils/testing/_frames_testers.py:105 — `info` at line 105 is handed an f-string as its message, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the record is filtered out. Pass the values beside a constant message instead: `logger.info("order %s moved to %s", order_id, status)` with the standard library's `logging`, which keeps the message and its arguments apart on the record, or `log.info("order moved", order_id=order_id, status=status)` with structlog.
Interpolated log message defeats structured logging manim/utils/testing/_show_diff.py:55 — `warning` at line 55 is handed an f-string as its message, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the record is filtered out. Pass the values beside a constant message instead: `logger.warning("order %s moved to %s", order_id, status)` with the standard library's `logging`, which keeps the message and its arguments apart on the record, or `log.warning("order moved", order_id=order_id, status=status)` with structlog.
Interpolated log message defeats structured logging manim/renderer/shader_wrapper.py:41 — `debug` at line 41 is handed an f-string as its message, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the record is filtered out. Pass the values beside a constant message instead: `logger.debug("order %s moved to %s", order_id, status)` with the standard library's `logging`, which keeps the message and its arguments apart on the record, or `log.debug("order moved", order_id=order_id, status=status)` with structlog.
Interpolated log message defeats structured logging manim/_config/utils.py:125 — `info` at line 125 is handed an f-string as its message, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the record is filtered out. Pass the values beside a constant message instead: `logger.info("order %s moved to %s", order_id, status)` with the standard library's `logging`, which keeps the message and its arguments apart on the record, or `log.info("order moved", order_id=order_id, status=status)` with structlog.
Interpolated log message defeats structured logging manim/_config/utils.py:132 — `info` at line 132 is handed an f-string as its message, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the record is filtered out. Pass the values beside a constant message instead: `logger.info("order %s moved to %s", order_id, status)` with the standard library's `logging`, which keeps the message and its arguments apart on the record, or `log.info("order moved", order_id=order_id, status=status)` with structlog.
Interpolated log message defeats structured logging manim/_config/utils.py:824 — `info` at line 824 is handed an f-string as its message, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the record is filtered out. Pass the values beside a constant message instead: `logger.info("order %s moved to %s", order_id, status)` with the standard library's `logging`, which keeps the message and its arguments apart on the record, or `log.info("order moved", order_id=order_id, status=status)` with structlog.
Interpolated log message defeats structured logging manim/_config/utils.py:1792 — `warning` at line 1792 is handed an f-string as its message, so the logger receives one finished string — the values in it cannot be queried, filtered or aggregated as fields, every occurrence reads as a different message, and the string is built even when the record is filtered out. Pass the values beside a constant message instead: `logger.warning("order %s moved to %s", order_id, status)` with the standard library's `logging`, which keeps the message and its arguments apart on the record, or `log.warning("order moved", order_id=order_id, status=status)` with structlog.

X6 · Hand-rolled structured-format parsing · Hand-rolled JSON/XML parsing via regex · ×2

Hand-rolled JSON/XML parsing via regex manim/mobject/text/text_mobject.py:1448 — A regex whose pattern encodes JSON/XML syntax is parsing a structured format by hand — malformed or differently-typed content (e.g. `"amount": "5"` as a string) silently mis-parses instead of failing validation. This Python code already uses a real parser in the same package; use it here too.
Hand-rolled JSON/XML parsing via regex manim/mobject/text/text_mobject.py:1492 — A regex whose pattern encodes JSON/XML syntax is parsing a structured format by hand — malformed or differently-typed content (e.g. `"amount": "5"` as a string) silently mis-parses instead of failing validation. This Python code already uses a real parser in the same package; use it here too.

X7 · Silent fallback defaults · Silent fallback default on parse failure · ×2

Silent fallback default on parse failure manim/scene/scene_file_writer.py:76 — `_webm_audio_codec` returns `'libopus'` when `ValueError` is raised, with no log or raise — a malformed value silently becomes that default. Log the input or fail validation. If that constant is the correct answer rather than a stand-in for a value that could not be read, say so in a comment on the handler or in the docstring, and the row stops firing.
Silent fallback default on parse failure scripts/release.py:116 — `get_release_tags` returns `[]` when `(json.JSONDecodeError, KeyError)` is raised, with no log or raise — a malformed value silently becomes that default. Log the input or fail validation. If that constant is the correct answer rather than a stand-in for a value that could not be read, say so in a comment on the handler or in the docstring, and the row stops firing.

D16 · Bus Factor · Off-boarding risk · ×1

Off-boarding risk: anonymized user #1 — If anonymized user #1 becomes unavailable, 4 significant file(s) lose their only recent owner: scripts/release.py, manim/_config/output_plan.py, manim/manager.py, manim/_config/render_session.py. Pair on, review, or document these before any departure.

D16 · Bus Factor · Further sole-owners (lower concentration) · ×1

Further sole-owners (lower concentration) — 2 other contributor(s) are each the sole owner of a small amount of code below the off-boarding threshold — folded into the bus-factor score and metrics (6 single-owned of 133 analysed files in total, counted over production source files of roughly 2,400 bytes or more, excluding vendored, generated, example/demo and scaffolding-template trees and test files identified by path convention, largest first; 133 of the 186 production source files in this repository met that bar). They are anonymized user #2 (1 file(s)), anonymized user #3 (1 file(s)) — spread or document their files in the same way, at lower priority than the named off-boarding risks above. The files folded here: benchmarks/bench_lissajous.py, manim/cli/checkhealth/checks.py.

D20 · ADR Quality · No ADRs found · ×1

No ADRs found — No ADRs found. No recognised ADR directory (`docs/adr/`, `docs/decisions/`, `adr/`, `docs/rfcs/`, an `ADR0001/` folder, or their siblings) exists anywhere in this tree. What was searched, so you can tell an empty log from a search that missed one: every directory under the tree (build output, dependencies and VCS metadata excepted), for a document that is either any non-index page inside a recognised ADR directory, whatever its name and however deeply nested (`docs/adr/use-postgres.md`, `docs/adr/2024/0001-x.md`); or a file anywhere whose name is ADR-shaped (`0001-use-postgres.md`, `adr-012-caching.md`); or, when neither turned anything up, a document carrying the decision-record signature (an "Architecture Decision Record" heading, or Status / Context / Decision / Consequences as section headings). A decision log that clears none of these — unnumbered files outside any recognised directory, without those headings — is not seen by this check and this row is then wrong. If that is your case, say so rather than renaming anything; otherwise, consider recording architectural decisions in `docs/adr/`.

D26 · Project Cohesion · Projects may be oversized for their cohesion · ×1

Projects may be oversized for their cohesion — 1 of 2 project(s) overshoot their size bounds, lowering Project Cohesion to 0.0/10. The most over is `(repository root)` (66094 LoC, 476 module-visible types across 31 directories). Review these for cohesion — draw the boundary inside the module first (group each responsibility into its own package or directory and keep the cross-boundary members non-public), since splitting a published package moves types between packages and breaks consumers.

D29 · Static Analysis (SAST) · REDACTED · ×1

REDACTED

D34 · Knowledge Freshness · Further orphaned files (smaller) · ×1

Further orphaned files (smaller) — 33 smaller file(s) also have no living knowledge — folded into the freshness score and metrics rather than raised one row each — most significant first: manim/utils/color/X11.py, manim/mobject/opengl/opengl_surface.py, manim/camera/three_d_camera.py, example_scenes/opengl.py, manim/utils/paths.py, manim/utils/color/BS381.py, manim/utils/testing/frames_comparison.py, manim/mobject/geometry/tips.py (and 25 more) (37 orphaned of 133 analysed files in total, counted over production source files of roughly 2,400 bytes or more, excluding vendored, generated, example/demo and scaffolding-template trees and test files identified by path convention, largest first; 133 of the 186 production source files in this repository met that bar). Attach the read to the next change that touches one of them: have a second person review that change, and leave behind a short comment or test recording what the file is for, so the knowledge comes back at the cost of a change you were making anyway.

D36 · Supply-chain Provenance & Signing · REDACTED · ×1

REDACTED

D36 · Supply-chain Provenance & Signing · REDACTED · ×1

REDACTED

D36 · Supply-chain Provenance & Signing · REDACTED · ×1

REDACTED

M2 · Architecture documentation · No ADRs · ×1

No ADRs — No Architecture Decision Records found — no conventional ADR directory, no numbered `NNNN-title` documents in any markup this check reads, and nothing ADR-shaped by content. Design rationale recorded elsewhere (a design-notes tree, a mailing list, pull-request discussion) is not visible to this check and is not re-findable per decision, so a future maintainer cannot ask why one choice was made and get an answer.

M2 · Architecture documentation · No architecture diagram/doc · ×1

No architecture diagram/doc — No C4/Structurizr/PlantUML/Mermaid/Graphviz/D2 diagram, no drawn diagram named for the architecture, no file named `architecture` or `design` in any markup this check reads, and nothing in the README, docs or contributor guides that announces the shape — no `## Architecture` heading, no "architecture overview"/"high-level design" phrasing, no "the architecture is …" introduction, no guided code tour. A shape laid out in prose that never names itself as the architecture is not visible to this check, and neither is one kept outside the repository, so this row reports the absence of a re-findable shape document — not evidence that nobody wrote the shape down.

M3 · Folder & project structure · No src/ separation · ×1

No src/ separation — Production code isn't grouped under a src/ folder — it's spread across several top-level directories, so there's no one place that says 'this is the product'.

Minor — 1 finding(s)

D12 · Dependency Hygiene · Dependency hygiene PARTLY measured · ×1

Dependency hygiene PARTLY measured — Python dependencies read, no exact pin to grade for currency — This repository's Python dependencies were read: 26 shipped distribution(s) across 2 manifest(s) (23 development or optional declaration(s) excluded, because a consumer does not install them). Whether any of them is behind its current release is the dependency-CURRENCY question, and no declaration here carries an EXACT pin to ask it about — every one is a floor or a range, which installs the newest release it admits and therefore cannot be behind one. That is a healthy declaration style, NOT a defect and NOT a gap in this analyzer; there is simply no currency question to answer. This is NOT a finding that these dependencies are current or healthy. Lockfiles are deliberately not read (poetry.lock, REDACTED, Pipfile.lock, pdm.lock): the four disagree about dev/optional membership, and misreading one would charge a test-only package a consumer never receives. Known CVEs in the same dependency graph are a separate question, reported under D30.

Appendix B — Reproduction & audit trail

Every external tool invocation behind a deep-scan dimension — the tool, its captured version, the exact command, how many findings it yielded, and a link to the retained raw output. To reproduce any finding: check out the same commit and run the command shown (repo-relative — never an absolute scratch path). The complete raw scanner output is retained verbatim under artifacts/raw/ (indexed in artifacts/raw/index.json); per-invocation exit codes and wall-clock durations are in sidecar.json — kept out of this table so the rendered report stays byte-identical across runs of the same commit.

Dimension	Tool	Version	Command	Findings	Raw output
D28 · Secrets (history)	gitleaks	—	gitleaks detect --no-banner --config /opt/gitleaks-rules/watchdog-gitleaks.toml --report-format json --report-path /tmp/watchdog-gitleaks-d9a92eafea5c4a318d4f64d23d519346/history.json --exit-code 0 --source .	0	artifacts/raw/gitleaks-history.json
D28 · Secrets (history)	gitleaks	—	gitleaks detect --no-git --no-banner --config /opt/gitleaks-rules/watchdog-gitleaks.toml --report-format json --report-path /tmp/watchdog-gitleaks-d9a92eafea5c4a318d4f64d23d519346/tree.json --exit-code 0 --source .	0	artifacts/raw/gitleaks-tree.json
D29 · Static Analysis (SAST)	semgrep	—	semgrep --config /opt/semgrep-rules/security-audit.yml --config /opt/semgrep-rules/owasp-top-ten.yml --config /opt/semgrep-rules/watchdog-sast.yml --json --quiet --timeout 10 --timeout-threshold 3 --metrics off --exclude .arrow --exclude .avro --exclude .csv --exclude .dat --exclude .db --exclude .feather --exclude .geojson --exclude .h5 --exclude .hdf5 --exclude .jsonl --exclude .log --exclude .ndjson --exclude .npy --exclude .npz --exclude .orc --exclude .parquet --exclude .pickle --exclude .pkl --exclude .psv --exclude .sqlite --exclude .sqlite3 --exclude .tfrecord --exclude .tsv --exclude .txt .	55	artifacts/raw/semgrep.json
D30 · Dependency Vulnerabilities	osv-scanner	—	osv-scanner --format json --recursive --experimental-disable-plugins transitivedependency/requirements --experimental-disable-plugins dotnet/csproj --experimental-disable-plugins dotnet/nugetcpm .	2	artifacts/raw/osv-scanner.json
D31 · IaC & Container Security	trivy	—	trivy config --format json --quiet .	3	artifacts/raw/trivy-config.json
D32 · Data Compliance (PII/GDPR)	semgrep	—	semgrep: not applicable — No personal data was found crossing a boundary the PII/GDPR ruleset checks — nothing written to a log or console sink, placed in a URL or query string, or persisted to browser storage. That is a clean result for the LEAK surface only: this ruleset detects personal data escaping, it does not inventory the personal data a repository holds, so it is not evidence that this repository has no personal-data surface. The personal-data map (Appendix C) and the C1-C5 compliance cards are what speak to that.	0	—
D37 · Vulnerability-disclosure Policy	disclosure	—	disclosure: not applicable — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.	0	—
D40 · Network Egress Confinement	runtime-hardening	—	runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.	0	—
D41 · Kernel & Syscall Confinement	runtime-hardening	—	runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.	0	—
D42 · Runtime Threat Enforcement	runtime-hardening	—	runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.	0	—
D43 · Malicious Dependencies	osv-scanner	—	osv-scanner --format json --recursive --experimental-disable-plugins transitivedependency/requirements --experimental-disable-plugins dotnet/csproj --experimental-disable-plugins dotnet/nugetcpm .	0	artifacts/raw/osv-scanner.json

Run 01a171ff-7dbf-7e65-8123-70695604468b · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.

Findings by how serious they are

This survey was produced by

Executive summary

Top priorities

Diagnosis: what the measurements show together

Architecture: which parts of the code depend on which

At a glance — Code Health · 68% · Adequate · gated by X4 ·

At a glance — Architecture · 83% · Adequate · gated by D26 ·

At a glance — Maturity · 44% · Adequate · gated by M2 ·

At a glance — Readiness · 81% · Strong ·

At a glance — Security · 69% · Adequate · gated by D29, D36 ·

Security & Compliance — OWASP Top-10 mapping

Roadmap

File quality

How the grades work

Methodology & how to trust this report

Tools & methods

Run transparency — what happened this run

Limitations & what we did not check

Per-dimension blind spots

Dimensions

Frontend & cross-cutting dimensions

Reference — by lens

Appendix A — Findings (grouped)

Appendix B — Reproduction & audit trail

Downloadable artifacts