Software health reportschema 0.26.0 · metrics 2.10.0 · 2026-07-22 18:15 UTC

mujocolab / mjlab

Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research

PythonApache-2.0★ 2,709 stars⑂ 459 forkssince Jun 2025View on GitHub ↗

#isaaclab #mujoco #mujoco-warp #reinforcement-learning #robotics-simulation

mujocolab/mjlab holds a health index of 93 out of 100, placing it in the Exceptional band. It scores highest on Vitality (96/100) and lowest on Security (48/100). It was last updated today. A single contributor accounts for most of its recent work.

overall / 100

Exceptional

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met

Excellent80-92Strong across the board; minor gaps

Good65-79Healthy; gaps are limited and manageable

Moderate50-64Acceptable with notable gaps; review recommended

Weak35-49Material weaknesses across several areas

At Risk20-34Significant weaknesses; adoption warrants caution

Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 79 is calibrated to 93 on the published index scale (record calibration 2026-08-02).

Ownership

mujocolabOrganization

227 followers5 public repossince Aug 2025

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

Registry	Package	Version	Downloads / mo	Versions	Last publish	Tags
PyPI	mjlab	1.5.3	-	18	0 days ago	mujoco mujoco-warp simulation reinforcement-learning robotics

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

96Exceptional · 21% of overall

Development activity

93Exceptional

How it's scored

36/36	Push recency — last push 0 days ago
29.1/36	Commit cadence — 42/52 weeks with commits
18/18	Commit volume — 1,071 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 16 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	1,071
human_commit_share	1
days_since_last_push	0
active_weeks_last_year	42

Release discipline

100Exceptional

How it's scored

27/27	Ships releases — 11 releases published
36/36	Release recency — latest release 0 days ago
27/27	Release cadence — a release every ~19.4 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	11
latest_release_tag	v1.5.3
releases_from_tags	no
days_since_latest_release	0
mean_days_between_releases	19.4

Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

79Good · 17% of overall

Popularity & adoption

86Excellent

How it's scored

55.7/60	Stars — 2,709 stars
22.2/25	Forks — 459 forks
7.8/15	Watchers — 26 watchers

Inputs used

forks	459
stars	2,709
watchers	26
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

70Good

How it's scored

22.5/22.5	README
22.5/22.5	License — recognized license (Apache-2.0)
18/18	CONTRIBUTING guide
0/13.5	Code of conduct
0/7.2	Issue template
0/6.3	PR template

Inputs used

has_readme	yes
has_license	yes
readme_badges	—
has_contributing	yes
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	—
has_pull_request_template	no

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

68Good · 23% of overall

Maintainer resilience (bus factor)

36Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
4/22.5	Commit distribution — top contributor authored 82% of commits
13.5/13.5	Contributor breadth — 52 contributors
10/10	OpenSSF Scorecard: Contributors — project has 12 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	52
top_contributor_share	0.824

Issue & PR responsiveness

82Excellent

How it's scored

39.6/42	Issue resolution — 94% of issues closed
25.4/30	PR acceptance — 604/714 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
6/15	OpenSSF Scorecard: Code-Review — Found 12/30 approved changesets -- score normalized to 4

Inputs used

merged_prs	604
open_issues	17
closed_issues	287
prs_merged_7d	—
prs_decided_7d	—
prs_merged_30d	—
prs_decided_30d	—
issue_closed_ratio	0.944
closed_unmerged_prs	110
first_time_authors_30d	—
first_time_prs_merged_30d	—
first_time_prs_decided_30d	—

Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

68Good

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain — verified-domain status not read for this organization
17/25	Owner reach — 227 followers of mujocolab
7.4/25	Track record — 5 public repos, account ~0 yr old

Inputs used

followers	227
owner_type	Organization
is_verified	—
owner_login	mujocolab
public_repos	5
account_age_days	325

Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 0 days ago
20/20	Version history — 18 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	mjlab
ecosystems	pypi
any_deprecated	no
min_days_since_publish	0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional

How it's scored

24/24	CI workflows — 7 workflow(s)
24/24	Tests present
16/16	Linter config
9.6/9.6	Pre-commit hooks
0/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	no
has_linter_config	yes
has_precommit_config	yes

Documentation

100Exceptional

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://mujocolab.github.io/mjlab/
10/10	Repository description
10/10	Topics — 5 topics
10/10	Wiki

Inputs used

topics	isaaclab, mujoco, mujoco-warp, reinforcement-learning, robotics-simulation
has_wiki	yes
homepage	https://mujocolab.github.io/mjlab/
docs_site	https://mujocolab.github.io/mjlab/
has_readme	yes
has_docs_dir	yes
has_description	yes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

48Weak · 16% of overall

Security posture

49Weak

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
4.5/7.5	Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5	CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3/7.5	Code-Review — Found 12/30 approved changesets -- score normalized to 4
2.5/2.5	Contributors — project has 12 contributing companies or organizations
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5	Dependency-Update-Tool — no update tool detected
0/5	Fuzzing — project is not fuzzed
2.5/2.5	License — license file detected
7.5/7.5	Maintained — 30 commit(s) and 16 issue activity found in the last 90 days -- score normalized to 10
5/5	Packaging — packaging workflow detected
0/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5	SAST — SAST tool is not run on all commits -- score normalized to 0
0/5	Security-Policy — security policy file not detected
0/7.5	Signed-Releases — no data
0/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
3/7.5	Vulnerabilities — 6 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	17
scorecard_version	v5.5.0
checks_inconclusive	1
scorecard_aggregate	4.9

Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

44Weak

How it's scored

7.7/35	Direct dependencies free of known advisories — 3 affected: torch 2.9.0 (high 8.8), torch 2.9.0+cu128 (high 8.8), torch 2.10.0+cpu (moderate 5.3)
0/25	Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
25.4/40	No advisories left outstanding — 3 advisory-carrying package(s) unaddressed past 90 days; oldest published 478 days ago

Inputs used

source	osv
advisories	12
affected_packages	4
assessed_packages	215
unassessed_packages	0
affected_by_severity	high 3, moderate 1
direct_affected_packages	3

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 215 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

86Excellent · 4% of overall

Agent context & guidance

85Excellent

How it's scored

45/45	Agent instructions — AGENTS.md, CLAUDE.md
0/15	Machine-readable docs (llms.txt)
40/40	Legible commit history — 93 of 100 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.93
agent_instruction_files	AGENTS.md, CLAUDE.md
agent_instruction_max_bytes	2,084

Verify loop (build / test / typecheck)

82Excellent

How it's scored

18/18	One-command bootstrap — Makefile
22/22	Automated tests
11/11	Lint / format config
11/11	Static type checking — src/mjlab/py.typed
10/10	Reproducible environment — Dockerfile, lockfile
10/10	Demonstrated agent practice — 7 of the last 100 commits agent-authored or agent-credited
0/8	Automated maintenance — no automated dependency updates observed
0/10	OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0

Inputs used

has_nix	no
has_tests	yes
lockfiles	uv.lock
has_dockerfile	yes
typed_language	no
bootstrap_files	Makefile
has_devcontainer	no
has_linter_config	yes
typecheck_configs	src/mjlab/py.typed
agent_commit_share	0.07
toolchain_manifests	—
dependency_bot_commit_share	0

Code legibility for models

82Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (src/mjlab/py.typed)
54.6/55	Manageable file sizes — 2/284 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	72,997
source_files_sampled	284
oversized_source_files	2

Machine-readable interfaces

100Exceptional

How it's scored

0/40	API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20	MCP server — not applicable to this kind of software
40/40	Runnable examples — demos, notebooks

Inputs used

example_dirs	demos, notebooks
has_mcp_signal	no
api_schema_files	—
interfaces_expected_of	—

Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

2,709GitHub stars

52contributors

1,071commits, last 12 months

0days since last push

11releases

1bus factor

17open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
deps.dev does not index pypi:mjlab@1.5.3; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 459 ⇿

0Stars

459Forks

10Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

Major 1Minor 6Patch 3

OpenSSF Scorecard 4.9 / 10

4.9aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-07-22 18:15 UTC

10	Binary-Artifacts	no binaries found in the repo
6	Branch-Protection	branch protection is not maximal on development and all release branches
10	CI-Tests	30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
4	Code-Review	Found 12/30 approved changesets -- score normalized to 4
10	Contributors	project has 12 contributing companies or organizations
10	Dangerous-Workflow	no dangerous workflow patterns detected
0	Dependency-Update-Tool	no update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
10	Maintained	30 commit(s) and 16 issue activity found in the last 90 days -- score normalized to 10
10	Packaging	packaging workflow detected
0	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 0
0	SAST	SAST tool is not run on all commits -- score normalized to 0
0	Security-Policy	security policy file not detected
n/a	Signed-Releases	no releases found
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
4	Vulnerabilities	6 existing vulnerabilities detected

Direct dependencies 20

Registry	Package	Version constraint	Manifest
PyPI	prettytable	`—`	pyproject.toml
PyPI	tqdm	`—`	pyproject.toml
PyPI	tyro	`>=1.0.1`	pyproject.toml
PyPI	torch	`>=2.7.0`	pyproject.toml
PyPI	torchrunx	`>=0.3.4`	pyproject.toml
PyPI	warp-lang	`>=1.14.0`	pyproject.toml
PyPI	mujoco-warp	`>=3.10.0.3,~=3.10.0`	pyproject.toml
PyPI	mujoco	`~=3.10.0`	pyproject.toml
PyPI	trimesh	`>=4.8.3`	pyproject.toml
PyPI	scipy	`>=1.15`	pyproject.toml
PyPI	viser	`>=1.0.27`	pyproject.toml
PyPI	mjviser	`>=0.0.14`	pyproject.toml
PyPI	mediapy	`>=1.2.6`	pyproject.toml
PyPI	numpy	`<2.5`	pyproject.toml
PyPI	imageio-ffmpeg	`—`	pyproject.toml
PyPI	tensordict	`—`	pyproject.toml
PyPI	rsl-rl-lib	`==5.4.0`	pyproject.toml
PyPI	tensorboard	`>=2.20.0`	pyproject.toml
PyPI	onnxscript	`>=0.5.4`	pyproject.toml
PyPI	wandb	`>=0.22.3`	pyproject.toml

All dependencies 215

Full resolved dependency set from the GitHub dependency graph: 24 direct and 191 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	imageio-ffmpeg	`0.6.0`	direct
PyPI	mediapy	`1.2.6`	direct
PyPI	mjviser	`0.0.14`	direct
PyPI	mujoco	`3.10.0`	direct
PyPI	mujoco-warp	`3.10.0.3`	direct
PyPI	numpy	`2.2.6`	direct
PyPI	numpy	`2.3.4`	direct
PyPI	onnxscript	`0.5.4`	direct
PyPI	prettytable	`3.16.0`	direct
PyPI	rsl-rl-lib	`5.4.0`	direct
PyPI	scipy	`1.15.3`	direct
PyPI	scipy	`1.16.2`	direct
PyPI	tensorboard	`2.20.0`	direct
PyPI	tensordict	`0.10.0`	direct
PyPI	torch	`2.10.0+cpu`	direct
PyPI	torch	`2.9.0`	direct
PyPI	torch	`2.9.0+cu128`	direct
PyPI	torchrunx	`0.3.4`	direct
PyPI	tqdm	`4.67.1`	direct
PyPI	trimesh	`4.8.3`	direct
PyPI	tyro	`1.0.1`	direct
PyPI	viser	`1.0.27`	direct
PyPI	wandb	`0.22.3`	direct
PyPI	warp-lang	`1.14.0`	direct
PyPI	absl-py	`2.3.1`	indirect
PyPI	accessible-pygments	`0.0.5`	indirect
PyPI	alabaster	`1.0.0`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	anyio	`4.11.0`	indirect
PyPI	asttokens	`3.0.0`	indirect
PyPI	attrs	`25.4.0`	indirect
PyPI	autodocsumm	`0.2.14`	indirect
PyPI	babel	`2.17.0`	indirect
PyPI	bcrypt	`5.0.0`	indirect
PyPI	beautifulsoup4	`4.14.3`	indirect
PyPI	certifi	`2025.10.5`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	cfgv	`3.4.0`	indirect
PyPI	charset-normalizer	`3.4.4`	indirect
PyPI	click	`8.3.0`	indirect
PyPI	cloudpickle	`3.1.1`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	colorlog	`6.10.1`	indirect
PyPI	contourpy	`1.3.2`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	cryptography	`49.0.0`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	decorator	`5.2.1`	indirect
PyPI	deprecated	`1.3.1`	indirect
PyPI	distlib	`0.4.0`	indirect
PyPI	docstring-parser	`0.17.0`	indirect
PyPI	docutils	`0.21.2`	indirect
PyPI	embreex	`2.17.7.post6`	indirect
PyPI	etils	`1.13.0`	indirect
PyPI	exceptiongroup	`1.3.0`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	fabric	`3.2.2`	indirect
PyPI	filelock	`3.25.2`	indirect
PyPI	flatbuffers	`25.12.19`	indirect
PyPI	fonttools	`4.61.1`	indirect
PyPI	fsspec	`2025.9.0`	indirect
PyPI	gitdb	`4.0.12`	indirect
PyPI	gitpython	`3.1.54`	indirect
PyPI	glfw	`2.10.0`	indirect
PyPI	grpcio	`1.76.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	identify	`2.6.15`	indirect
PyPI	idna	`3.18`	indirect
PyPI	imageio	`2.37.0`	indirect
PyPI	imagesize	`1.4.1`	indirect
PyPI	importlib-metadata	`8.7.0`	indirect
PyPI	importlib-resources	`6.5.2`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	invoke	`2.2.1`	indirect
PyPI	ipdb	`0.13.13`	indirect
PyPI	ipython	`8.37.0`	indirect
PyPI	ipython	`9.6.0`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	jedi	`0.19.2`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jsonschema	`4.25.1`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	kiwisolver	`1.4.9`	indirect
PyPI	latexcodec	`3.0.1`	indirect
PyPI	lxml	`6.1.0`	indirect
PyPI	manifold3d	`3.2.1`	indirect
PyPI	mapbox-earcut	`1.0.3`	indirect
PyPI	markdown	`3.9`	indirect
PyPI	markdown-it-py	`3.0.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	matplotlib	`3.10.8`	indirect
PyPI	matplotlib-inline	`0.1.7`	indirect
PyPI	mdit-py-plugins	`0.5.0`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mjlab	`1.5.3`	indirect
PyPI	ml-dtypes	`0.5.4`	indirect
PyPI	mpmath	`1.3.0`	indirect
PyPI	msgspec	`0.19.0`	indirect
PyPI	myst-parser	`4.0.1`	indirect
PyPI	networkx	`3.4.2`	indirect
PyPI	networkx	`3.5`	indirect
PyPI	nodeenv	`1.9.1`	indirect
PyPI	nvidia-cublas-cu12	`12.8.4.1`	indirect
PyPI	nvidia-cuda-cupti-cu12	`12.8.90`	indirect
PyPI	nvidia-cuda-nvrtc-cu12	`12.8.93`	indirect
PyPI	nvidia-cuda-runtime-cu12	`12.8.90`	indirect
PyPI	nvidia-cudnn-cu12	`9.10.2.21`	indirect
PyPI	nvidia-cufft-cu12	`11.3.3.83`	indirect
PyPI	nvidia-cufile-cu12	`1.13.1.3`	indirect
PyPI	nvidia-curand-cu12	`10.3.9.90`	indirect
PyPI	nvidia-cusolver-cu12	`11.7.3.90`	indirect
PyPI	nvidia-cusparse-cu12	`12.5.8.93`	indirect
PyPI	nvidia-cusparselt-cu12	`0.7.1`	indirect
PyPI	nvidia-nccl-cu12	`2.27.5`	indirect
PyPI	nvidia-nvjitlink-cu12	`12.8.93`	indirect
PyPI	nvidia-nvshmem-cu12	`3.3.20`	indirect
PyPI	nvidia-nvtx-cu12	`12.8.90`	indirect
PyPI	onnx	`1.22.0`	indirect
PyPI	onnx-ir	`0.1.11`	indirect
PyPI	onnxruntime	`1.24.3`	indirect
PyPI	orjson	`3.11.8`	indirect
PyPI	packaging	`25.0`	indirect
PyPI	paramiko	`5.0.0`	indirect
PyPI	parso	`0.8.5`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pillow	`12.3.0`	indirect
PyPI	platformdirs	`4.5.0`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	pre-commit	`4.3.0`	indirect
PyPI	prompt-toolkit	`3.0.52`	indirect
PyPI	protobuf	`6.33.6`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	pybtex	`0.25.1`	indirect
PyPI	pybtex-docutils	`1.0.3`	indirect
PyPI	pycollada	`0.9.2`	indirect
PyPI	pycparser	`2.23`	indirect
PyPI	pydantic	`2.12.3`	indirect
PyPI	pydantic-core	`2.41.4`	indirect
PyPI	pydata-sphinx-theme	`0.15.4`	indirect
PyPI	pygments	`2.20.0`	indirect
PyPI	pynacl	`1.6.2`	indirect
PyPI	pyopengl	`3.1.10`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pyright	`1.1.408`	indirect
PyPI	pytest	`9.0.3`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-discovery	`1.2.1`	indirect
PyPI	pyvers	`0.1.0`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	requests	`2.33.1`	indirect
PyPI	rich	`14.2.0`	indirect
PyPI	roman-numerals	`4.1.0`	indirect
PyPI	roman-numerals-py	`4.1.0`	indirect
PyPI	rpds-py	`0.27.1`	indirect
PyPI	rtree	`1.4.1`	indirect
PyPI	ruff	`0.14.14`	indirect
PyPI	sentry-sdk	`2.42.1`	indirect
PyPI	setuptools	`83.0.0`	indirect
PyPI	shapely	`2.1.2`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	smmap	`5.0.2`	indirect
PyPI	sniffio	`1.3.1`	indirect
PyPI	snowballstemmer	`3.0.1`	indirect
PyPI	soupsieve	`2.9.1`	indirect
PyPI	sphinx	`8.1.3`	indirect
PyPI	sphinx	`8.2.3`	indirect
PyPI	sphinx-autobuild	`2024.10.3`	indirect
PyPI	sphinx-autobuild	`2025.8.25`	indirect
PyPI	sphinx-autodoc-typehints	`3.0.1`	indirect
PyPI	sphinx-autodoc-typehints	`3.5.2`	indirect
PyPI	sphinx-book-theme	`1.1.4`	indirect
PyPI	sphinx-copybutton	`0.5.2`	indirect
PyPI	sphinx-design	`0.6.1`	indirect
PyPI	sphinx-icon	`0.2.2`	indirect
PyPI	sphinx-multiversion	`0.2.4`	indirect
PyPI	sphinx-tabs	`3.4.7`	indirect
PyPI	sphinxcontrib-applehelp	`2.0.0`	indirect
PyPI	sphinxcontrib-bibtex	`2.6.5`	indirect
PyPI	sphinxcontrib-devhelp	`2.0.0`	indirect
PyPI	sphinxcontrib-htmlhelp	`2.1.0`	indirect
PyPI	sphinxcontrib-jsmath	`1.0.1`	indirect
PyPI	sphinxcontrib-qthelp	`2.0.0`	indirect
PyPI	sphinxcontrib-serializinghtml	`2.0.0`	indirect
PyPI	sphinxemoji	`0.3.2`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	starlette	`1.3.1`	indirect
PyPI	svg-path	`7.0`	indirect
PyPI	sympy	`1.14.0`	indirect
PyPI	tensorboard-data-server	`0.7.2`	indirect
PyPI	tomli	`2.3.0`	indirect
PyPI	torchvision	`0.24.0`	indirect
PyPI	torchvision	`0.25.0`	indirect
PyPI	traitlets	`5.14.3`	indirect
PyPI	triton	`3.5.0`	indirect
PyPI	ty	`0.0.14`	indirect
PyPI	typeguard	`4.4.4`	indirect
PyPI	typing-extensions	`4.15.0`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	uvicorn	`0.40.0`	indirect
PyPI	vhacdx	`0.0.8.post2`	indirect
PyPI	virtualenv	`21.2.0`	indirect
PyPI	watchfiles	`1.1.1`	indirect
PyPI	wcwidth	`0.2.14`	indirect
PyPI	websockets	`15.0.1`	indirect
PyPI	werkzeug	`3.1.7`	indirect
PyPI	wrapt	`2.0.1`	indirect
PyPI	xxhash	`3.6.0`	indirect
PyPI	yourdfpy	`0.0.58`	indirect
PyPI	zipp	`3.23.0`	indirect
PyPI	zstandard	`0.25.0`	indirect

Dependency advisories 4

This repository publishes no package the index resolves, so its own dependency graph was assessed — 215 packages, which also include development and test pins that never ship: 4 carry known advisories, of which 3 are direct.

Package	Version	Relation	Severity	Advisories	Fixed in
torch	`2.9.0`	direct	high	5	`2.13.0`
torch	`2.9.0+cu128`	direct	high	5	`2.13.0`
click	`8.3.0`	indirect	high	1	`8.3.3`
torch	`2.10.0+cpu`	direct	moderate	1	`2.13.0`

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

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Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.26.0 — full methodology · metrics wiki.

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