Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-20 08:30 UTC

verl-project / verl

verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework

PythonApache-2.0★ 23,501 stars⑂ 4,569 forkssince Oct 2024View on GitHub ↗

verl-project/verl holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Vitality (97/100) and lowest on Security (66/100). It was last updated today. 11 contributors account 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 84 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

verl-projectOrganization

209 followers15 public repossince May 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
PyPI	verl	0.9.1	31,613	19	0 days ago

Metrics by category

Vitality

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

97Exceptional · 21% of overall

Development activity

100Exceptional

How it's scored

36/36	Push recency — last push 0 days ago
36/36	Commit cadence — 52/52 weeks with commits
18/18	Commit volume — 1,629 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	1,629
human_commit_share	1
days_since_last_push	0
active_weeks_last_year	52

Release discipline

92Excellent

How it's scored

27/27	Ships releases — 16 releases published
36/36	Release recency — latest release 0 days ago
19.8/27	Release cadence — a release every ~52.3 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	16
latest_release_tag	v0.9.1
releases_from_tags	no
days_since_latest_release	0
mean_days_between_releases	52.3

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?

84Excellent · 17% of overall

Popularity & adoption

96Exceptional

How it's scored

60/60	Stars — 23,501 stars
25/25	Forks — 4,569 forks
10.9/15	Watchers — 91 watchers

Inputs used

forks	4,569
stars	23,501
watchers	91
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

77Good

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
6.3/6.3	PR template

Inputs used

has_readme	yes
has_license	yes
readme_badges	75
has_contributing	yes
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	shields.io
has_pull_request_template	yes

Ecosystem adoption (downloads)

75Good

How it's scored

60/80	Monthly downloads — 31,613 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	verl
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	31,613
unverified_packages_excluded	—

Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

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

82Excellent · 23% of overall

Maintainer resilience (bus factor)

98Exceptional

How it's scored

54/54	Bus factor — 11 contributor(s) cover half of all commits
20.6/22.5	Commit distribution — top contributor authored 8% of commits
13.5/13.5	Contributor breadth — 100 contributors
10/10	OpenSSF Scorecard: Contributors — project has 24 contributing companies or organizations

Inputs used

bus_factor	11
contributors_sampled	100
top_contributor_share	0.083

Issue & PR responsiveness

72Good

How it's scored

32.8/42	Issue resolution — 78% of issues closed
20.8/30	PR acceptance — 3,072/4,432 decided PRs merged
4.7/13	Newcomer PR acceptance — 4/11 first-time contributors' PRs merged in 30d
13.5/15	OpenSSF Scorecard: Code-Review — Found 28/30 approved changesets -- score normalized to 9

Inputs used

merged_prs	3,072
open_issues	607
closed_issues	2,151
prs_merged_7d	25
prs_decided_7d	54
prs_merged_30d	25
prs_decided_30d	54
issue_closed_ratio	0.78
closed_unmerged_prs	1,360
first_time_authors_30d	6
first_time_prs_merged_30d	4
first_time_prs_decided_30d	11

Ownership & stewardship

58Moderate

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
16.7/25	Owner reach — 209 followers of verl-project
11.4/25	Track record — 15 public repos, account ~1 yr old

Inputs used

followers	209
owner_type	Organization
is_verified	no
owner_login	verl-project
public_repos	15
account_age_days	485

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 — 19 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	verl
ecosystems	pypi
any_deprecated	no
min_days_since_publish	0

Engineering Quality

Are baseline engineering and documentation practices in place?

87Excellent · 19% of overall

Engineering practices

92Excellent

How it's scored

24/24	CI workflows — 48 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff])
9.6/9.6	Pre-commit hooks
0/6.4	.editorconfig
18/20	OpenSSF Scorecard: CI-Tests — 27 out of 30 merged PRs checked by a CI test -- score normalized to 9

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	no
has_linter_config	yes
has_precommit_config	yes

Documentation

80Excellent

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://verl-project.github.io
10/10	Repository description
0/10	Topics
0/10	Wiki

Inputs used

topics	—
has_wiki	no
homepage	https://verl-project.github.io
docs_site	https://verl-project.github.io
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?

66Good · 16% of overall

Security posture

57Moderate

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
2.2/2.5	CI-Tests — 27 out of 30 merged PRs checked by a CI test -- score normalized to 9
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6.8/7.5	Code-Review — Found 28/30 approved changesets -- score normalized to 9
2.5/2.5	Contributors — project has 24 contributing companies or organizations
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5	Dependency-Update-Tool — 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 7 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
0/7.5	Vulnerabilities — 77 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	17
scorecard_version	v5.5.0
checks_inconclusive	1
scorecard_aggregate	5.7

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

Dependency advisories

100Exceptional

How it's scored

35/35	Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25	Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40	No advisories left outstanding — no advisory carries a publication date

Inputs used

source	osv
advisories	138
affected_packages	22
assessed_packages	342
unassessed_packages	38
affected_by_severity	critical 4, high 8, moderate 9, unknown 1
direct_affected_packages	0

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 342 resolved dependencies against OSV. 38 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. 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.

87Excellent · 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 — 99 of 100 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.99
agent_instruction_files	AGENTS.md, CLAUDE.md
agent_instruction_max_bytes	2,883

Verify loop (build / test / typecheck)

87Excellent

How it's scored

18/18	One-command bootstrap — docs/Makefile
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
11/11	Static type checking — verl/py.typed
10/10	Reproducible environment — Dockerfile, lockfile
10/10	Demonstrated agent practice — 8 of the last 100 commits agent-authored or agent-credited
5/8	Automated maintenance — dependency automation configured, none observed in the sampled commits
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	docs/Makefile
has_devcontainer	no
has_linter_config	yes
typecheck_configs	verl/py.typed
agent_commit_share	0.08
toolchain_manifests	—
dependency_bot_commit_share	0

Code legibility for models

81Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (verl/py.typed)
53.9/55	Manageable file sizes — 13/670 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	104,620
source_files_sampled	670
oversized_source_files	13

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 — examples, notebooks

Inputs used

example_dirs	examples, 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

23,501GitHub stars

100contributors

1,629commits, last 12 months

0days since last push

16releases

11bus factor

607open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
First-time contributor figures cover 12 of 36 authors (cap 12)
deps.dev does not index pypi:verl@0.9.1; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 4,569 ⇿

0Stars

4,569Forks

2Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

Major 0Minor 2Patch 0

OpenSSF Scorecard 5.7 / 10

5.7aggregate

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 · 2026-09-20 08:29 UTC

10	Binary-Artifacts	no binaries found in the repo
6	Branch-Protection	branch protection is not maximal on development and all release branches
9	CI-Tests	27 out of 30 merged PRs checked by a CI test -- score normalized to 9
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
9	Code-Review	Found 28/30 approved changesets -- score normalized to 9
10	Contributors	project has 24 contributing companies or organizations
10	Dangerous-Workflow	no dangerous workflow patterns detected
10	Dependency-Update-Tool	update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
10	Maintained	30 commit(s) and 7 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
0	Vulnerabilities	77 existing vulnerabilities detected

All dependencies 380

Full resolved dependency set from the GitHub dependency graph: 0 direct and 380 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	absl-py	`2.4.0`	indirect
PyPI	accelerate	`—`	indirect
PyPI	accelerate	`1.14.0`	indirect
PyPI	aiohappyeyeballs	`2.6.2`	indirect
PyPI	aiohttp	`3.14.1`	indirect
PyPI	aiohttp-cors	`0.8.1`	indirect
PyPI	aiosignal	`1.4.0`	indirect
PyPI	airportsdata	`20260315`	indirect
PyPI	annotated-doc	`0.0.4`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	anthropic	`0.109.1`	indirect
PyPI	antlr4-python3-runtime	`4.9.3`	indirect
PyPI	anyio	`4.13.0`	indirect
PyPI	apache-tvm-ffi	`0.1.9`	indirect
PyPI	apex	`0.1`	indirect
PyPI	astor	`0.8.1`	indirect
PyPI	asttokens	`3.0.1`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	av	`17.1.0`	indirect
PyPI	blake3	`1.0.8`	indirect
PyPI	blobfile	`3.0.0`	indirect
PyPI	build	`1.5.0`	indirect
PyPI	bytecode	`—`	indirect
PyPI	cachetools	`7.1.4`	indirect
PyPI	cbor2	`6.1.2`	indirect
PyPI	certifi	`2026.5.20`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	charset-normalizer	`3.4.7`	indirect
PyPI	click	`8.4.1`	indirect
PyPI	cloudpickle	`3.1.2`	indirect
PyPI	codetiming	`—`	indirect
PyPI	codetiming	`1.4.0`	indirect
PyPI	colorful	`0.5.8`	indirect
PyPI	compressed-tensors	`0.17.0`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	cryptography	`49.0.0`	indirect
PyPI	cuda-bindings	`13.3.1`	indirect
PyPI	cuda-core	`1.0.1`	indirect
PyPI	cuda-pathfinder	`1.5.5`	indirect
PyPI	cuda-python	`13.3.1`	indirect
PyPI	cuda-tile	`1.3.0`	indirect
PyPI	cuda-tile	`1.4.0`	indirect
PyPI	cuda-toolkit	`13.0.2`	indirect
PyPI	cupy-cuda13x	`14.0.1`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	datasets	`—`	indirect
PyPI	datasets	`5.0.0`	indirect
PyPI	decorator	`5.3.1`	indirect
PyPI	decord2	`3.4.0`	indirect
PyPI	depyf	`0.20.0`	indirect
PyPI	detect-installer	`0.1.0`	indirect
PyPI	dill	`—`	indirect
PyPI	dill	`0.4.1`	indirect
PyPI	diskcache	`5.6.3`	indirect
PyPI	distlib	`0.4.3`	indirect
PyPI	distro	`1.9.0`	indirect
PyPI	dnspython	`2.8.0`	indirect
PyPI	docstring-parser	`0.18.0`	indirect
PyPI	easydict	`1.13`	indirect
PyPI	einops	`—`	indirect
PyPI	einops	`0.8.2`	indirect
PyPI	email-validator	`2.3.0`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	fastapi	`—`	indirect
PyPI	fastapi	`0.136.3`	indirect
PyPI	fastapi	`0.137.0`	indirect
PyPI	fastapi-cli	`0.0.24`	indirect
PyPI	fastapi-cloud-cli	`0.20.0`	indirect
PyPI	fastar	`0.11.0`	indirect
PyPI	fastsafetensors	`0.3.2`	indirect
PyPI	filelock	`3.29.4`	indirect
PyPI	fla-core	`0.5.2`	indirect
PyPI	flash-attn	`2.8.3`	indirect
PyPI	flash-linear-attention	`0.5.2`	indirect
PyPI	flashinfer-cubin	`0.6.11.post1`	indirect
PyPI	flashinfer-cubin	`0.6.12`	indirect
PyPI	flashinfer-python	`0.6.11.post1`	indirect
PyPI	flashinfer-python	`0.6.12`	indirect
PyPI	fonttools	`4.63.0`	indirect
PyPI	frozenlist	`1.8.0`	indirect
PyPI	fsspec	`2026.4.0`	indirect
PyPI	gguf	`0.19.0`	indirect
PyPI	gitdb	`4.0.12`	indirect
PyPI	gitpython	`3.1.50`	indirect
PyPI	google-api-core	`2.31.0`	indirect
PyPI	google-auth	`2.54.0`	indirect
PyPI	googleapis-common-protos	`1.75.0`	indirect
PyPI	grpcio	`1.81.1`	indirect
PyPI	grpcio-health-checking	`1.81.1`	indirect
PyPI	grpcio-reflection	`1.81.1`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	hf-transfer	`—`	indirect
PyPI	hf-transfer	`0.1.9`	indirect
PyPI	hf-xet	`1.5.1`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httptools	`0.8.0`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	httpx-sse	`0.4.3`	indirect
PyPI	huggingface-hub	`1.19.0`	indirect
PyPI	humming-kernels	`0.1.6`	indirect
PyPI	hydra-core	`—`	indirect
PyPI	hydra-core	`1.3.3`	indirect
PyPI	identify	`2.6.19`	indirect
PyPI	idna	`3.18`	indirect
PyPI	ijson	`3.5.0`	indirect
PyPI	importlib-metadata	`9.0.0`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	interegular	`0.3.3`	indirect
PyPI	ipython	`9.14.1`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	jedi	`0.20.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jiter	`0.15.0`	indirect
PyPI	jmespath	`1.1.0`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	kernels	`0.12.3`	indirect
PyPI	kiwisolver	`1.5.0`	indirect
PyPI	lark	`1.2.2`	indirect
PyPI	latex2sympy2-extended	`—`	indirect
PyPI	latex2sympy2-extended	`1.11.0`	indirect
PyPI	liger-kernel	`—`	indirect
PyPI	liger-kernel	`0.8.2`	indirect
PyPI	llguidance	`0.7.30`	indirect
PyPI	llguidance	`1.7.6`	indirect
PyPI	llvmlite	`0.47.0`	indirect
PyPI	lm-format-enforcer	`0.11.3`	indirect
PyPI	loguru	`0.7.3`	indirect
PyPI	lxml	`6.1.1`	indirect
PyPI	markdown	`3.10.2`	indirect
PyPI	markdown-it-py	`4.2.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	math-verify	`—`	indirect
PyPI	math-verify	`0.9.0`	indirect
PyPI	mathruler	`—`	indirect
PyPI	mathruler	`0.1.0`	indirect
PyPI	matplotlib	`3.11.0`	indirect
PyPI	matplotlib-inline	`0.2.2`	indirect
PyPI	mbridge	`0.15.1`	indirect
PyPI	mcp	`1.27.2`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	megatron-bridge	`0.5.2`	indirect
PyPI	megatron-core	`0.18.0`	indirect
PyPI	mistral-common	`1.11.3`	indirect
PyPI	ml-dtypes	`0.5.4`	indirect
PyPI	model-hosting-container-standards	`0.1.15`	indirect
PyPI	modelscope	`1.37.1`	indirect
PyPI	mpmath	`1.3.0`	indirect
PyPI	msgpack	`1.2.0`	indirect
PyPI	msgspec	`0.21.1`	indirect
PyPI	multidict	`6.7.1`	indirect
PyPI	multiprocess	`0.70.19`	indirect
PyPI	myst-parser	`—`	indirect
PyPI	nest-asyncio	`1.6.0`	indirect
PyPI	networkx	`3.6.1`	indirect
PyPI	ninja	`1.13.0`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	numba	`0.65.0`	indirect
PyPI	numpy	`—`	indirect
PyPI	numpy	`2.4.6`	indirect
PyPI	nvdlfw-inspect	`0.2.2`	indirect
PyPI	nvidia-cublas	`13.1.0.3`	indirect
PyPI	nvidia-cuda-cccl	`13.3.3.4.1`	indirect
PyPI	nvidia-cuda-crt	`13.3.73`	indirect
PyPI	nvidia-cuda-cupti	`13.0.85`	indirect
PyPI	nvidia-cuda-nvcc	`13.2.86`	indirect
PyPI	nvidia-cuda-nvrtc	`13.0.88`	indirect
PyPI	nvidia-cuda-runtime	`13.0.96`	indirect
PyPI	nvidia-cuda-tileiras	`13.2.86`	indirect
PyPI	nvidia-cudnn-cu13	`9.19.0.56`	indirect
PyPI	nvidia-cudnn-frontend	`1.26.0`	indirect
PyPI	nvidia-cufft	`12.0.0.61`	indirect
PyPI	nvidia-cufile	`1.15.1.6`	indirect
PyPI	nvidia-curand	`10.4.0.35`	indirect
PyPI	nvidia-cusolver	`12.0.4.66`	indirect
PyPI	nvidia-cusparse	`12.6.3.3`	indirect
PyPI	nvidia-cusparselt-cu13	`0.8.0`	indirect
PyPI	nvidia-cusparselt-cu13	`0.9.1`	indirect
PyPI	nvidia-cutlass-dsl	`4.5.0`	indirect
PyPI	nvidia-cutlass-dsl	`4.5.2`	indirect
PyPI	nvidia-cutlass-dsl-libs-base	`4.5.0`	indirect
PyPI	nvidia-cutlass-dsl-libs-base	`4.5.2`	indirect
PyPI	nvidia-cutlass-dsl-libs-cu13	`4.5.2`	indirect
PyPI	nvidia-mathdx	`25.6.0`	indirect
PyPI	nvidia-ml-py	`13.610.43`	indirect
PyPI	nvidia-modelopt	`0.44.0`	indirect
PyPI	nvidia-nccl-cu13	`2.28.9`	indirect
PyPI	nvidia-nvjitlink	`13.0.88`	indirect
PyPI	nvidia-nvshmem-cu13	`3.4.5`	indirect
PyPI	nvidia-nvtx	`13.0.85`	indirect
PyPI	nvidia-nvvm	`13.2.86`	indirect
PyPI	nvtx	`0.2.15`	indirect
PyPI	omegaconf	`2.3.1`	indirect
PyPI	onnx	`1.21.0`	indirect
PyPI	onnx-ir	`0.2.1`	indirect
PyPI	onnxscript	`0.7.0`	indirect
PyPI	openai	`2.41.1`	indirect
PyPI	openai	`2.6.1`	indirect
PyPI	openai-harmony	`0.0.4`	indirect
PyPI	openai-harmony	`0.0.8`	indirect
PyPI	opencensus	`0.11.4`	indirect
PyPI	opencensus-context	`0.1.3`	indirect
PyPI	opencv-python-headless	`4.13.0.92`	indirect
PyPI	opentelemetry-api	`1.42.1`	indirect
PyPI	opentelemetry-exporter-otlp	`1.42.1`	indirect
PyPI	opentelemetry-exporter-otlp-proto-common	`1.42.1`	indirect
PyPI	opentelemetry-exporter-otlp-proto-grpc	`1.42.1`	indirect
PyPI	opentelemetry-exporter-otlp-proto-http	`1.42.1`	indirect
PyPI	opentelemetry-exporter-prometheus	`0.63b1`	indirect
PyPI	opentelemetry-proto	`1.42.1`	indirect
PyPI	opentelemetry-sdk	`1.42.1`	indirect
PyPI	opentelemetry-semantic-conventions	`0.63b1`	indirect
PyPI	opentelemetry-semantic-conventions-ai	`0.5.1`	indirect
PyPI	orjson	`3.11.9`	indirect
PyPI	outlines	`0.1.11`	indirect
PyPI	outlines-core	`0.1.26`	indirect
PyPI	outlines-core	`0.2.14`	indirect
PyPI	packaging	`—`	indirect
PyPI	packaging	`25.0`	indirect
PyPI	pandas	`—`	indirect
PyPI	pandas	`3.0.3`	indirect
PyPI	parso	`0.8.7`	indirect
PyPI	partial-json-parser	`0.2.1.1.post7`	indirect
PyPI	peft	`—`	indirect
PyPI	peft	`0.19.1`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pillow	`12.2.0`	indirect
PyPI	platformdirs	`4.10.0`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	pre-commit	`—`	indirect
PyPI	pre-commit	`4.6.0`	indirect
PyPI	prometheus-client	`0.25.0`	indirect
PyPI	prometheus-fastapi-instrumentator	`8.0.0`	indirect
PyPI	prompt-toolkit	`3.0.52`	indirect
PyPI	propcache	`0.5.2`	indirect
PyPI	proto-plus	`1.28.0`	indirect
PyPI	protobuf	`6.33.6`	indirect
PyPI	psutil	`7.2.2`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pulp	`3.3.2`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	py-cpuinfo	`9.0.0`	indirect
PyPI	py-spy	`—`	indirect
PyPI	py-spy	`0.4.2`	indirect
PyPI	pyarrow	`—`	indirect
PyPI	pyarrow	`24.0.0`	indirect
PyPI	pyasn1	`0.6.3`	indirect
PyPI	pyasn1-modules	`0.4.2`	indirect
PyPI	pybase64	`1.4.3`	indirect
PyPI	pybind11	`—`	indirect
PyPI	pybind11	`3.0.4`	indirect
PyPI	pycountry	`26.2.16`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pycryptodomex	`3.23.0`	indirect
PyPI	pydantic	`2.13.4`	indirect
PyPI	pydantic-core	`2.46.4`	indirect
PyPI	pydantic-extra-types	`2.11.1`	indirect
PyPI	pydantic-settings	`2.14.1`	indirect
PyPI	pyelftools	`0.33`	indirect
PyPI	pygments	`2.20.0`	indirect
PyPI	pyjwt	`2.13.0`	indirect
PyPI	pylatexenc	`—`	indirect
PyPI	pylatexenc	`2.10`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pyproject-hooks	`1.2.0`	indirect
PyPI	pytest	`—`	indirect
PyPI	pytest	`9.1.0`	indirect
PyPI	pytest-asyncio	`—`	indirect
PyPI	pytest-asyncio	`1.4.0`	indirect
PyPI	pytest-rerunfailures	`—`	indirect
PyPI	pytest-rerunfailures	`16.3`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-discovery	`1.4.2`	indirect
PyPI	python-dotenv	`1.2.2`	indirect
PyPI	python-json-logger	`4.1.0`	indirect
PyPI	python-multipart	`0.0.32`	indirect
PyPI	pyvers	`0.1.0`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyzmq	`27.1.0`	indirect
PyPI	quack-kernels	`0.4.1`	indirect
PyPI	quack-kernels	`0.5.0`	indirect
PyPI	qwen-vl-utils	`—`	indirect
PyPI	qwen-vl-utils	`0.0.14`	indirect
PyPI	ray	`—`	indirect
PyPI	ray	`2.55.1`	indirect
PyPI	recommonmark	`—`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	regex	`2026.5.9`	indirect
PyPI	requests	`2.34.2`	indirect
PyPI	rich	`15.0.0`	indirect
PyPI	rich-toolkit	`0.20.1`	indirect
PyPI	rignore	`0.7.6`	indirect
PyPI	rpds-py	`2026.5.1`	indirect
PyPI	safetensors	`0.8.0`	indirect
PyPI	scipy	`1.17.1`	indirect
PyPI	sentencepiece	`0.2.1`	indirect
PyPI	sentry-sdk	`2.62.0`	indirect
PyPI	setproctitle	`1.3.7`	indirect
PyPI	setuptools	`—`	indirect
PyPI	setuptools	`80.10.2`	indirect
PyPI	sgl-deep-gemm	`0.1.0`	indirect
PyPI	sglang	`0.5.12`	indirect
PyPI	sglang-kernel	`0.4.2.post2`	indirect
PyPI	sglang-router	`0.2.2`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	smart-open	`7.6.1`	indirect
PyPI	smg-grpc-proto	`0.4.10`	indirect
PyPI	smg-grpc-servicer	`0.5.5`	indirect
PyPI	smmap	`5.0.3`	indirect
PyPI	sniffio	`1.3.1`	indirect
PyPI	soundfile	`0.13.1`	indirect
PyPI	sphinx-markdown-tables	`—`	indirect
PyPI	sphinx-rtd-theme	`—`	indirect
PyPI	sse-starlette	`3.4.4`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	starlette	`1.3.1`	indirect
PyPI	supervisor	`4.3.0`	indirect
PyPI	sympy	`1.14.0`	indirect
PyPI	tabulate	`0.10.0`	indirect
PyPI	tensorboard	`—`	indirect
PyPI	tensorboard	`2.20.0`	indirect
PyPI	tensorboard-data-server	`0.7.2`	indirect
PyPI	tensordict	`—`	indirect
PyPI	tensordict	`0.10.0`	indirect
PyPI	tiktoken	`0.13.0`	indirect
PyPI	tilelang	`0.1.8`	indirect
PyPI	tilelang	`0.1.9`	indirect
PyPI	timm	`1.0.16`	indirect
PyPI	tokenizers	`0.21`	indirect
PyPI	tokenizers	`0.22.2`	indirect
PyPI	tokenspeed-mla	`0.1.1`	indirect
PyPI	tokenspeed-mla	`0.1.2`	indirect
PyPI	tokenspeed-triton	`3.7.10.post20260531`	indirect
PyPI	torch	`2.11.0+cpu`	indirect
PyPI	torch	`2.11.0+cu130`	indirect
PyPI	torch-c-dlpack-ext	`0.1.5`	indirect
PyPI	torch-memory-saver	`0.0.9.post1`	indirect
PyPI	torchao	`0.17.0`	indirect
PyPI	torchaudio	`2.11.0+cpu`	indirect
PyPI	torchaudio	`2.11.0+cu130`	indirect
PyPI	torchcodec	`0.11.1`	indirect
PyPI	torchdata	`—`	indirect
PyPI	torchdata	`0.11.0`	indirect
PyPI	torchvision	`0.26.0+cpu`	indirect
PyPI	torchvision	`0.26.0+cu130`	indirect
PyPI	tqdm	`4.68.2`	indirect
PyPI	traitlets	`5.15.1`	indirect
PyPI	transferqueue	`0.1.8`	indirect
PyPI	transferqueue	`0.1.9.dev0`	indirect
PyPI	transformer-engine	`2.16.1`	indirect
PyPI	transformers	`—`	indirect
PyPI	transformers	`5.9.0`	indirect
PyPI	triton	`3.6.0`	indirect
PyPI	triton-ascend	`3.2.2`	indirect
PyPI	trl	`0.27.0`	indirect
PyPI	typer	`0.25.1`	indirect
PyPI	typing-extensions	`4.15.0`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	uvicorn	`—`	indirect
PyPI	uvicorn	`0.49.0`	indirect
PyPI	uvloop	`0.22.1`	indirect
PyPI	veomni	`0.1.11`	indirect
PyPI	virtualenv	`21.5.0`	indirect
PyPI	vllm	`0.24.0`	indirect
PyPI	wandb	`—`	indirect
PyPI	wandb	`0.27.2`	indirect
PyPI	watchfiles	`1.2.0`	indirect
PyPI	wcwidth	`0.8.1`	indirect
PyPI	websockets	`16.0`	indirect
PyPI	werkzeug	`3.1.8`	indirect
PyPI	wrapt	`2.2.1`	indirect
PyPI	xgrammar	`0.2.0`	indirect
PyPI	xgrammar	`0.2.2`	indirect
PyPI	xxhash	`3.7.0`	indirect
PyPI	yarl	`1.24.2`	indirect
PyPI	z3-solver	`4.15.4.0`	indirect
PyPI	zipp	`4.1.0`	indirect

Dependency advisories 22

This repository publishes no package the index resolves, so its own dependency graph was assessed — 342 packages, which also include development and test pins that never ship: 22 carry known advisories, of which 0 are direct. 38 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

Package	Version	Relation	Severity	Advisories	Fixed in
anyio	`4.13.0`	indirect	critical	2	`4.14.2`
gitpython	`3.1.50`	indirect	critical	48	`3.1.60`
pillow	`12.2.0`	indirect	critical	26	`12.3.0`
sglang	`0.5.12`	indirect	critical	6	—
accelerate	`1.14.0`	indirect	high	2	—
flash-attn	`2.8.3`	indirect	high	2	—
hydra-core	`1.3.3`	indirect	high	2	`1.3.4`
mcp	`1.27.2`	indirect	high	2	`1.28.1`
msgpack	`1.2.0`	indirect	high	2	`1.2.1`
pyasn1	`0.6.3`	indirect	high	6	`0.6.4`
ray	`2.55.1`	indirect	high	2	`2.56.0`
transformers	`5.9.0`	indirect	high	2	`5.10.0`
aiohttp	`3.14.1`	indirect	moderate	6	`3.14.3`
cryptography	`49.0.0`	indirect	moderate	2	`50.0.0`
diskcache	`5.6.3`	indirect	moderate	2	—
onnx	`1.21.0`	indirect	moderate	4	`1.22.0`
pydantic-settings	`2.14.1`	indirect	moderate	1	`2.14.2`
setuptools	`80.10.2`	indirect	moderate	2	`83.0.0`
torch	`2.11.0+cpu`	indirect	moderate	1	`2.13.0`
torch	`2.11.0+cu130`	indirect	moderate	1	`2.13.0`
vllm	`0.24.0`	indirect	moderate	16	`0.28.0`
datasets	`5.0.0`	indirect	unknown	1	`5.0.1`

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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Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.

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