Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-28 08:08 UTC

PrimeIntellect-ai / verifiers

Our library for RL environments + evals

PythonMIT★ 4,565 stars⑂ 654 forkssince Jan 2025View on GitHub ↗

KindLibraryCommand-line toolMCP serverhow this is determined

PrimeIntellect-ai/verifiers holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Vitality (96/100) and lowest on Security (67/100). It was last updated today. 2 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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

Prime IntellectOrganization

1,378 followers65 public repossince Oct 2023

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	verifiers	0.3.1	378,117	412	3 days ago	agentic-rl agents environments eval grpo harness llm multi-turn reinforcement-learning rl rlvr tool-use train verifiers

Metrics by category

Vitality

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

96Exceptional · 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 — 1,510 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	1,510
human_commit_share	0.98
days_since_last_push	0
active_weeks_last_year	52

Release discipline

90Excellent

How it's scored

27/27	Ships releases — 54 releases published
36/36	Release recency — latest release 3 days ago
27/27	Release cadence — a release every ~13.8 days
0/10	OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.

Inputs used

releases_count	54
latest_release_tag	v0.3.1
releases_from_tags	no
days_since_latest_release	3
mean_days_between_releases	13.8

Community & Adoption

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

77Good · 17% of overall

Popularity & adoption

91Excellent

How it's scored

59.4/60	Stars — 4,565 stars
23.5/25	Forks — 654 forks
8/15	Watchers — 29 watchers

Inputs used

forks	654
stars	4,565
watchers	29
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

50Moderate

How it's scored

22.5/22.5	README
22.5/22.5	License — recognized license (MIT)
0/18	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	0
has_contributing	no
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	—
has_pull_request_template	no

Ecosystem adoption (downloads)

93Exceptional

How it's scored

74.4/80	Monthly downloads — 378,117 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	verifiers
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	378,117
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?

75Good · 23% of overall

Maintainer resilience (bus factor)

62Moderate

How it's scored

25.2/54	Bus factor — 2 contributor(s) cover half of all commits
13/22.5	Commit distribution — top contributor authored 42% of commits
13.5/13.5	Contributor breadth — 82 contributors
10/10	OpenSSF Scorecard: Contributors — project has 10 contributing companies or organizations

Inputs used

bus_factor	2
contributors_sampled	82
top_contributor_share	0.424

Issue & PR responsiveness

76Good

How it's scored

38.7/42	Issue resolution — 92% of issues closed
21/30	PR acceptance — 1,356/1,941 decided PRs merged
1.4/13	Newcomer PR acceptance — 1/9 first-time contributors' PRs merged in 30d
15/15	OpenSSF Scorecard: Code-Review — all changesets reviewed

Inputs used

merged_prs	1,356
open_issues	25
closed_issues	295
prs_merged_7d	24
prs_decided_7d	41
prs_merged_30d	38
prs_decided_30d	60
issue_closed_ratio	0.922
closed_unmerged_prs	585
first_time_authors_30d	3
first_time_prs_merged_30d	1
first_time_prs_decided_30d	9

Ownership & stewardship

71Good

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
22.6/25	Owner reach — 1,378 followers of PrimeIntellect-ai
18.7/25	Track record — 65 public repos, account ~2 yr old

Inputs used

followers	1,378
owner_type	Organization
is_verified	no
owner_login	PrimeIntellect-ai
public_repos	65
account_age_days	1,046

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 3 days ago
20/20	Version history — 412 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	verifiers
ecosystems	pypi
any_deprecated	no
min_days_since_publish	3

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall

Engineering practices

94Exceptional

How it's scored

24/24	CI workflows — 4 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
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

80Excellent

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://github.com/primeintellect-ai/verifiers
10/10	Repository description
0/10	Topics
0/10	Wiki

Inputs used

topics	—
has_wiki	no
homepage	—
docs_site	https://github.com/primeintellect-ai/verifiers
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?

67Good · 16% of overall

Security posture

59Moderate

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
3.8/7.5	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
7.5/7.5	Code-Review — all changesets reviewed
2.5/2.5	Contributors — project has 10 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 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
5/5	SAST — SAST tool is run on all commits
0/5	Security-Policy — security policy file not detected
0/7.5	Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
0.8/7.5	Vulnerabilities — 9 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	18
scorecard_version	v5.5.0
checks_inconclusive	0
scorecard_aggregate	5.9

Dependency advisories

100Exceptional

How it's scored

35/35	Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25	Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40	No advisories left outstanding — no advisory carries a publication date

Inputs used

source	osv
advisories	0
affected_packages	0
assessed_packages	107
unassessed_packages	0
affected_by_severity	none
direct_affected_packages	0

Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:verifiers@0.3.1 runtime dependency closure — what installing the published package pulls in — 107 packages. 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.

82Excellent · 4% of overall

Agent context & guidance

85Excellent

How it's scored

45/45	Agent instructions — AGENTS.md, CLAUDE.md, assets/lab/CLAUDE.md, docs/v1/agent.md
0/15	Machine-readable docs (llms.txt)
40/40	Legible commit history — 90 of 98 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.918
agent_instruction_files	AGENTS.md, CLAUDE.md, assets/lab/CLAUDE.md, docs/v1/agent.md
agent_instruction_max_bytes	2,390

Verify loop (build / test / typecheck)

72Good

How it's scored

0/18	One-command bootstrap
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
11/11	Static type checking — assets/templates/browserbase/cua/tsconfig.json
10/10	Reproducible environment — Dockerfile, lockfile
10/10	Demonstrated agent practice — 33 of the last 100 commits agent-authored or agent-credited
8/8	Automated maintenance — 2 of the last 100 commits are automated dependency updates
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	—
has_devcontainer	no
has_linter_config	yes
typecheck_configs	assets/templates/browserbase/cua/tsconfig.json
agent_commit_share	0.33
toolchain_manifests	—
dependency_bot_commit_share	0.02

Code legibility for models

82Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (assets/templates/browserbase/cua/tsconfig.json)
54.9/55	Manageable file sizes — 1/479 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	129,156
source_files_sampled	479
oversized_source_files	1

Machine-readable interfaces

100Exceptional

How it's scored

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

Inputs used

example_dirs	examples
has_mcp_signal	yes
api_schema_files	—
interfaces_expected_of	—

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

Key facts

4,565GitHub stars

82contributors

1,510commits, last 12 months

0days since last push

54releases

2bus factor

25open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 654 ⇿

0Stars

654Forks

54Releases

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 0Minor 2Patch 13

Each point covers 2 days.

OpenSSF Scorecard 5.9 / 10

5.9aggregate

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 · 2026-08-28 08:07 UTC

10	Binary-Artifacts	no binaries found in the repo
5	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
10	Code-Review	all changesets reviewed
10	Contributors	project has 10 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 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
10	SAST	SAST tool is run on all commits
0	Security-Policy	security policy file not detected
0	Signed-Releases	Project has not signed or included provenance with any releases.
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
1	Vulnerabilities	9 existing vulnerabilities detected

Direct dependencies 26

Registry	Package	Version constraint	Manifest
PyPI	anthropic	`>=0.78.0`	pyproject.toml
PyPI	datasets	`>=3.3.0,<6.0.0`	pyproject.toml
PyPI	numpy	`>=2.1.0`	pyproject.toml
PyPI	math-verify	`>=0.8.0`	pyproject.toml
PyPI	mcp	`>=1.24.0,<2`	pyproject.toml
PyPI	openai	`>=2.9.0`	pyproject.toml
PyPI	openai-agents	`>=0.8.2`	pyproject.toml
PyPI	prime-tunnel	`>=0.1.8`	pyproject.toml
PyPI	prime-sandboxes	`>=0.2.39`	pyproject.toml
PyPI	pydantic	`>=2.12.3`	pyproject.toml
PyPI	requests	`—`	pyproject.toml
PyPI	rich	`>=11.0.0`	pyproject.toml
PyPI	tenacity	`>=8.5.0`	pyproject.toml
PyPI	gepa	`>=0.0.6`	pyproject.toml
PyPI	pyzmq	`>=27.1.0`	pyproject.toml
PyPI	msgpack	`>=1.1.2`	pyproject.toml
PyPI	aiolimiter	`>=1.2.1`	pyproject.toml
PyPI	setproctitle	`>=1.3.0`	pyproject.toml
PyPI	httpx	`>=0.27.0`	pyproject.toml
PyPI	aiohttp	`>=3.9.0`	pyproject.toml
PyPI	prime-pydantic-config	`>=0.4.3`	pyproject.toml
PyPI	uvloop	`>=0.21.0`	pyproject.toml
PyPI	loguru	`>=0.7.0`	pyproject.toml
PyPI	tomli-w	`>=1.0.0`	pyproject.toml
PyPI	renderers	`>=0.1.10`	pyproject.toml
PyPI	typing_extensions	`>=4.12.2`	pyproject.toml

All dependencies 513

Full resolved dependency set from the GitHub dependency graph: 64 direct and 449 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	aiohttp	`—`	direct
PyPI	aiohttp	`3.13.5`	direct
PyPI	aiohttp	`3.14.3`	direct
PyPI	aiolimiter	`—`	direct
PyPI	aiolimiter	`1.2.1`	direct
PyPI	anthropic	`—`	direct
PyPI	anthropic	`0.116.0`	direct
PyPI	anthropic	`0.97.0`	direct
PyPI	datasets	`—`	direct
PyPI	datasets	`4.6.1`	direct
PyPI	datasets	`5.0.0`	direct
PyPI	gepa	`—`	direct
PyPI	gepa	`0.1.1`	direct
PyPI	httpx	`—`	direct
PyPI	httpx	`0.28.1`	direct
PyPI	loguru	`—`	direct
PyPI	loguru	`0.7.3`	direct
PyPI	math-verify	`—`	direct
PyPI	math-verify	`0.9.0`	direct
PyPI	mcp	`—`	direct
PyPI	mcp	`1.27.0`	direct
PyPI	mcp	`1.28.1`	direct
PyPI	msgpack	`—`	direct
PyPI	msgpack	`1.1.2`	direct
PyPI	msgpack	`1.2.1`	direct
PyPI	numpy	`—`	direct
PyPI	numpy	`2.2.6`	direct
PyPI	numpy	`2.4.6`	direct
PyPI	numpy	`2.5.1`	direct
PyPI	openai	`—`	direct
PyPI	openai	`2.32.0`	direct
PyPI	openai	`2.45.0`	direct
PyPI	openai-agents	`—`	direct
PyPI	openai-agents	`0.14.5`	direct
PyPI	openai-agents	`0.18.2`	direct
PyPI	prime-pydantic-config	`—`	direct
PyPI	prime-pydantic-config	`0.4.3`	direct
PyPI	prime-sandboxes	`—`	direct
PyPI	prime-sandboxes	`0.2.22`	direct
PyPI	prime-sandboxes	`0.2.39`	direct
PyPI	prime-tunnel	`—`	direct
PyPI	prime-tunnel	`0.1.10`	direct
PyPI	prime-tunnel	`0.1.6`	direct
PyPI	pydantic	`—`	direct
PyPI	pydantic	`2.13.3`	direct
PyPI	pydantic	`2.13.4`	direct
PyPI	pyzmq	`—`	direct
PyPI	pyzmq	`27.1.0`	direct
PyPI	renderers	`—`	direct
PyPI	renderers	`0.1.10`	direct
PyPI	requests	`—`	direct
PyPI	requests	`2.33.1`	direct
PyPI	requests	`2.34.2`	direct
PyPI	rich	`—`	direct
PyPI	rich	`15.0.0`	direct
PyPI	setproctitle	`—`	direct
PyPI	setproctitle	`1.3.7`	direct
PyPI	tenacity	`—`	direct
PyPI	tenacity	`9.1.4`	direct
PyPI	tomli-w	`1.2.0`	direct
PyPI	typing-extensions	`4.15.0`	direct
PyPI	typing-extensions	`4.16.0`	direct
PyPI	uvloop	`—`	direct
PyPI	uvloop	`0.22.1`	direct
npm	@browserbasehq/stagehand	`^3.0.5`	indirect
npm	deepmerge	`^4.3.1`	indirect
npm	dotenv	`^16.4.5`	indirect
npm	esbuild	`^0.27.2`	indirect
npm	fastify	`^5.0.0`	indirect
npm	postject	`^1.0.0-alpha.6`	indirect
npm	tsx	`^4.10.5`	indirect
npm	typescript	`^5.2.2`	indirect
npm	zod	`^3.25.76`	indirect
PyPI	accelerate	`—`	indirect
PyPI	accelerate	`1.13.0`	indirect
PyPI	aiofile	`3.11.1`	indirect
PyPI	aiofiles	`25.1.0`	indirect
PyPI	aiohappyeyeballs	`2.6.1`	indirect
PyPI	aiohappyeyeballs	`2.7.1`	indirect
PyPI	aiosignal	`1.4.0`	indirect
PyPI	alphabet-sort	`0.1.0`	indirect
PyPI	annotated-doc	`0.0.4`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	antlr4-python3-runtime	`4.13.2`	indirect
PyPI	antlr4-python3-runtime	`4.9.3`	indirect
PyPI	anyio	`4.13.0`	indirect
PyPI	anyio	`4.14.1`	indirect
PyPI	arckit	`0.1.0`	indirect
PyPI	astor	`0.8.1`	indirect
PyPI	async-timeout	`5.0.1`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	audioop-lts	`0.2.2`	indirect
PyPI	authlib	`1.7.2`	indirect
PyPI	backports-tarfile	`1.2.0`	indirect
PyPI	bash-interception	`0.1.0`	indirect
PyPI	bcrypt	`5.0.0`	indirect
PyPI	beartype	`0.22.9`	indirect
PyPI	bfcl-eval	`—`	indirect
PyPI	bfi	`1.0.4`	indirect
PyPI	blake3	`1.0.8`	indirect
PyPI	brotli	`1.2.0`	indirect
PyPI	build	`1.5.0`	indirect
PyPI	cachetools	`7.0.6`	indirect
PyPI	cachetools	`7.1.4`	indirect
PyPI	caio	`0.9.25`	indirect
PyPI	cbor2	`5.9.0`	indirect
PyPI	cbor2	`6.1.3`	indirect
PyPI	cellpylib	`2.4.0`	indirect
PyPI	certifi	`2026.4.22`	indirect
PyPI	certifi	`2026.6.17`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	cffi	`2.1.0`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	charset-normalizer	`3.4.7`	indirect
PyPI	charset-normalizer	`3.4.9`	indirect
PyPI	chess	`1.11.2`	indirect
PyPI	chromadb	`—`	indirect
PyPI	chromadb	`1.5.9`	indirect
PyPI	click	`8.3.3`	indirect
PyPI	click	`8.4.2`	indirect
PyPI	cloudpickle	`3.1.2`	indirect
PyPI	code-golf	`0.1.0`	indirect
PyPI	color-codeword	`0.1.0`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	compact	`0.1.0`	indirect
PyPI	compressed-tensors	`0.11.0`	indirect
PyPI	connect-python	`0.9.0`	indirect
PyPI	connectrpc	`0.11.1`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	coverage	`7.15.0`	indirect
PyPI	cryptography	`46.0.7`	indirect
PyPI	cryptography	`48.0.1`	indirect
PyPI	cryptography	`49.0.0`	indirect
PyPI	cuda-pathfinder	`1.5.3`	indirect
PyPI	cupy-cuda12x	`14.0.1`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	cyclopts	`4.21.0`	indirect
PyPI	deepspeed	`—`	indirect
PyPI	deepspeed	`0.18.9`	indirect
PyPI	deepwiki	`0.1.0`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	deprecation	`2.1.0`	indirect
PyPI	depyf	`0.19.0`	indirect
PyPI	dill	`0.4.0`	indirect
PyPI	dill	`0.4.1`	indirect
PyPI	dirhash	`0.5.0`	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	drawsvg	`2.4.1`	indirect
PyPI	dspy	`—`	indirect
PyPI	durationpy	`0.10`	indirect
PyPI	einops	`0.8.2`	indirect
PyPI	email-validator	`2.3.0`	indirect
PyPI	exceptiongroup	`1.3.1`	indirect
PyPI	execnet	`2.1.2`	indirect
PyPI	fastapi	`—`	indirect
PyPI	fastapi	`0.136.1`	indirect
PyPI	fastapi	`0.139.0`	indirect
PyPI	fastapi-cli	`0.0.24`	indirect
PyPI	fastapi-cloud-cli	`0.17.0`	indirect
PyPI	fastar	`0.11.0`	indirect
PyPI	fastmcp	`3.4.4`	indirect
PyPI	fastmcp-slim	`3.4.4`	indirect
PyPI	fastuuid	`0.14.0`	indirect
PyPI	filelock	`3.29.0`	indirect
PyPI	filelock	`3.29.7`	indirect
PyPI	flash-attn	`—`	indirect
PyPI	flash-attn	`2.8.3`	indirect
PyPI	flatbuffers	`25.12.19`	indirect
PyPI	fonttools	`4.63.0`	indirect
PyPI	frozendict	`2.4.7`	indirect
PyPI	frozenlist	`1.8.0`	indirect
PyPI	fsspec	`2026.2.0`	indirect
PyPI	fsspec	`2026.4.0`	indirect
PyPI	gguf	`0.18.0`	indirect
PyPI	gitdb	`4.0.12`	indirect
PyPI	gitpython	`3.1.47`	indirect
PyPI	glossary	`0.1.0`	indirect
PyPI	googleapis-common-protos	`1.75.0`	indirect
PyPI	gprof2dot	`2025.4.14`	indirect
PyPI	gradio	`6.20.0`	indirect
PyPI	gradio-client	`2.5.0`	indirect
PyPI	grayscale-interception	`0.1.0`	indirect
PyPI	griffelib	`2.0.2`	indirect
PyPI	griffelib	`2.1.0`	indirect
PyPI	groovy	`0.1.2`	indirect
PyPI	grpcio	`1.82.1`	indirect
PyPI	grpclib	`0.4.9`	indirect
PyPI	gsm8k	`0.1.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	h2	`4.3.0`	indirect
PyPI	harbor	`0.21.0`	indirect
PyPI	harnesses	`—`	indirect
PyPI	hatchling	`—`	indirect
PyPI	hf-gradio	`0.4.1`	indirect
PyPI	hf-xet	`1.4.3`	indirect
PyPI	hf-xet	`1.5.1`	indirect
PyPI	hjson	`3.1.0`	indirect
PyPI	hpack	`4.2.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httptools	`0.7.1`	indirect
PyPI	httptools	`0.8.0`	indirect
PyPI	httpx-sse	`0.4.3`	indirect
PyPI	huggingface-hub	`1.12.0`	indirect
PyPI	huggingface-hub	`1.23.0`	indirect
PyPI	hydra-core	`1.3.4`	indirect
PyPI	hyperframe	`6.1.0`	indirect
PyPI	identify	`2.6.19`	indirect
PyPI	idna	`3.13`	indirect
PyPI	idna	`3.18`	indirect
PyPI	importlib-metadata	`8.7.1`	indirect
PyPI	importlib-metadata	`8.9.0`	indirect
PyPI	importlib-resources	`7.1.0`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	interception	`0.1.0`	indirect
PyPI	interegular	`0.3.3`	indirect
PyPI	ipykernel	`—`	indirect
PyPI	ipywidgets	`—`	indirect
PyPI	itsdangerous	`2.2.0`	indirect
PyPI	jaraco-classes	`3.4.0`	indirect
PyPI	jaraco-context	`6.1.2`	indirect
PyPI	jaraco-functools	`4.5.0`	indirect
PyPI	jeepney	`0.9.0`	indirect
PyPI	jinja2	`—`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jiter	`0.14.0`	indirect
PyPI	jiter	`0.16.0`	indirect
PyPI	joblib	`1.5.3`	indirect
PyPI	joserfc	`1.7.3`	indirect
PyPI	jsonref	`1.1.0`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-path	`0.5.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	keyring	`25.7.0`	indirect
PyPI	kiwisolver	`1.5.0`	indirect
PyPI	kubernetes	`36.0.2`	indirect
PyPI	kuhn-poker	`0.1.0`	indirect
PyPI	lark	`1.2.2`	indirect
PyPI	latex2sympy2-extended	`1.11.0`	indirect
PyPI	liger-kernel	`—`	indirect
PyPI	liger-kernel	`0.7.0`	indirect
PyPI	linkify-it-py	`2.1.0`	indirect
PyPI	litellm	`1.95.0`	indirect
PyPI	llguidance	`0.7.30`	indirect
PyPI	llvmlite	`0.44.0`	indirect
PyPI	lm-format-enforcer	`0.11.3`	indirect
PyPI	magiccube	`0.3.0`	indirect
PyPI	markdown-it-py	`4.0.0`	indirect
PyPI	markdown-it-py	`4.2.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	matplotlib	`3.11.0`	indirect
PyPI	mdit-py-plugins	`0.5.0`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mistral-common	`1.11.0`	indirect
PyPI	mlx	`0.31.2`	indirect
PyPI	mlx-lm	`0.31.3`	indirect
PyPI	mlx-metal	`0.31.2`	indirect
PyPI	mmh3	`5.2.1`	indirect
PyPI	modal	`1.5.2`	indirect
PyPI	more-itertools	`11.1.0`	indirect
PyPI	mpmath	`1.3.0`	indirect
PyPI	msgspec	`0.21.1`	indirect
PyPI	multidict	`6.7.1`	indirect
PyPI	multiprocess	`0.70.18`	indirect
PyPI	multiprocess	`0.70.19`	indirect
PyPI	nemo-gym	`—`	indirect
PyPI	nemo-gym	`0.4.0`	indirect
PyPI	nest-asyncio	`—`	indirect
PyPI	nest-asyncio	`1.6.0`	indirect
PyPI	networkx	`3.4.2`	indirect
PyPI	ninja	`1.13.0`	indirect
PyPI	nltk	`—`	indirect
PyPI	nltk	`3.10.0`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	numba	`0.61.2`	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	`2.27.3`	indirect
PyPI	nvidia-nvjitlink-cu12	`12.8.93`	indirect
PyPI	nvidia-nvtx-cu12	`12.8.90`	indirect
PyPI	oauthlib	`3.3.1`	indirect
PyPI	omegaconf	`2.3.1`	indirect
PyPI	onnxruntime	`1.27.0`	indirect
PyPI	openai-harmony	`—`	indirect
PyPI	openai-harmony	`0.0.8`	indirect
PyPI	openapi-pydantic	`0.5.1`	indirect
PyPI	opencv-python-headless	`4.13.0.92`	indirect
PyPI	openenv	`0.4.1`	indirect
PyPI	openenv-core	`—`	indirect
PyPI	openenv-core	`0.2.1`	indirect
PyPI	openenv-wordle	`0.1.0`	indirect
PyPI	openreward	`—`	indirect
PyPI	opentelemetry-api	`1.41.1`	indirect
PyPI	opentelemetry-api	`1.43.0`	indirect
PyPI	opentelemetry-exporter-otlp-proto-common	`1.43.0`	indirect
PyPI	opentelemetry-exporter-otlp-proto-grpc	`1.43.0`	indirect
PyPI	opentelemetry-proto	`1.43.0`	indirect
PyPI	opentelemetry-sdk	`1.43.0`	indirect
PyPI	opentelemetry-semantic-conventions	`0.64b0`	indirect
PyPI	orjson	`3.11.9`	indirect
PyPI	outlines-core	`0.2.11`	indirect
PyPI	overrides	`7.7.0`	indirect
PyPI	packaging	`26.1`	indirect
PyPI	packaging	`26.2`	indirect
PyPI	pandas	`2.3.3`	indirect
PyPI	pandas	`3.0.3`	indirect
PyPI	partial-json-parser	`0.2.1.1.post7`	indirect
PyPI	pathable	`0.6.0`	indirect
PyPI	pathspec	`1.1.1`	indirect
PyPI	peft	`—`	indirect
PyPI	peft	`0.19.1`	indirect
PyPI	pillow	`—`	indirect
PyPI	pillow	`12.2.0`	indirect
PyPI	pillow	`12.3.0`	indirect
PyPI	platformdirs	`4.10.0`	indirect
PyPI	platformdirs	`4.9.6`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	postgrest	`2.31.0`	indirect
PyPI	pre-commit	`—`	indirect
PyPI	pre-commit	`4.6.0`	indirect
PyPI	prometheus-client	`0.25.0`	indirect
PyPI	prometheus-fastapi-instrumentator	`7.1.0`	indirect
PyPI	propcache	`0.4.1`	indirect
PyPI	propcache	`0.5.2`	indirect
PyPI	proposer-solver	`0.1.0`	indirect
PyPI	protobuf	`6.33.6`	indirect
PyPI	protobuf	`7.34.1`	indirect
PyPI	protobuf-py	`0.1.1`	indirect
PyPI	protobuf-py-ext	`0.1.1`	indirect
PyPI	psutil	`7.2.2`	indirect
PyPI	py-cpuinfo	`9.0.0`	indirect
PyPI	py-key-value-aio	`0.4.5`	indirect
PyPI	pyarrow	`24.0.0`	indirect
PyPI	pyarrow	`25.0.0`	indirect
PyPI	pybase64	`1.4.3`	indirect
PyPI	pycosat	`0.6.6`	indirect
PyPI	pycountry	`26.2.16`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydantic-core	`2.46.3`	indirect
PyPI	pydantic-core	`2.46.4`	indirect
PyPI	pydantic-extra-types	`2.11.1`	indirect
PyPI	pydantic-settings	`2.14.0`	indirect
PyPI	pydantic-settings	`2.14.2`	indirect
PyPI	pydot	`4.0.1`	indirect
PyPI	pydub	`0.25.1`	indirect
PyPI	pyfiglet	`1.0.2`	indirect
PyPI	pygments	`2.20.0`	indirect
PyPI	pyjwt	`2.12.1`	indirect
PyPI	pyjwt	`2.13.0`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pyperclip	`1.11.0`	indirect
PyPI	pypika	`0.51.1`	indirect
PyPI	pyproject-hooks	`1.2.0`	indirect
PyPI	pyqwest	`0.5.1`	indirect
PyPI	pyqwest	`0.6.2`	indirect
PyPI	pytest	`—`	indirect
PyPI	pytest	`9.0.3`	indirect
PyPI	pytest-asyncio	`—`	indirect
PyPI	pytest-asyncio	`1.4.0`	indirect
PyPI	pytest-cov	`—`	indirect
PyPI	pytest-cov	`7.1.0`	indirect
PyPI	pytest-xdist	`—`	indirect
PyPI	pytest-xdist	`3.8.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-discovery	`1.4.4`	indirect
PyPI	python-dotenv	`—`	indirect
PyPI	python-dotenv	`1.2.2`	indirect
PyPI	python-json-logger	`4.1.0`	indirect
PyPI	python-multipart	`0.0.26`	indirect
PyPI	python-multipart	`0.0.32`	indirect
PyPI	pytz	`2026.1.post1`	indirect
PyPI	pytz	`2026.2`	indirect
PyPI	pywin32	`311`	indirect
PyPI	pywin32	`312`	indirect
PyPI	pywin32-ctypes	`0.2.3`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	ray	`2.55.1`	indirect
PyPI	ray	`2.56.0`	indirect
PyPI	realtime	`2.31.0`	indirect
PyPI	reasoning-gym	`—`	indirect
PyPI	reasoning-gym	`0.1.25`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	regex	`—`	indirect
PyPI	regex	`2026.3.32`	indirect
PyPI	regex	`2026.7.10`	indirect
PyPI	requests-oauthlib	`2.0.0`	indirect
PyPI	reverse-text	`0.1.0`	indirect
PyPI	rich-rst	`2.1.0`	indirect
PyPI	rich-toolkit	`0.19.7`	indirect
PyPI	rignore	`0.7.6`	indirect
PyPI	rlm	`—`	indirect
PyPI	rpds-py	`0.30.0`	indirect
PyPI	rpds-py	`2026.6.3`	indirect
PyPI	ruff	`—`	indirect
PyPI	ruff	`0.16.0`	indirect
PyPI	safehttpx	`0.1.7`	indirect
PyPI	safetensors	`0.7.0`	indirect
PyPI	safetensors	`0.8.0`	indirect
PyPI	scantree	`0.0.4`	indirect
PyPI	scipy	`1.15.3`	indirect
PyPI	scratchpad	`0.1.0`	indirect
PyPI	secretstorage	`3.5.0`	indirect
PyPI	semantic-version	`2.10.0`	indirect
PyPI	semgrep	`—`	indirect
PyPI	sentencepiece	`0.2.1`	indirect
PyPI	sentry-sdk	`2.58.0`	indirect
PyPI	sentry-sdk	`2.65.0`	indirect
PyPI	setuptools	`—`	indirect
PyPI	setuptools	`79.0.1`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	shortuuid	`1.0.13`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	smmap	`5.0.3`	indirect
PyPI	sniffio	`1.3.1`	indirect
PyPI	soundfile	`—`	indirect
PyPI	soundfile	`0.13.1`	indirect
PyPI	soxr	`1.0.0`	indirect
PyPI	sse-starlette	`3.3.4`	indirect
PyPI	sse-starlette	`3.4.5`	indirect
PyPI	stagehand	`—`	indirect
PyPI	stagehand	`3.21.0`	indirect
PyPI	starlette	`0.52.1`	indirect
PyPI	starlette	`1.3.1`	indirect
PyPI	storage3	`2.31.0`	indirect
PyPI	strenum	`0.4.15`	indirect
PyPI	supabase	`2.31.0`	indirect
PyPI	supabase-auth	`2.31.0`	indirect
PyPI	supabase-functions	`2.31.0`	indirect
PyPI	sympy	`1.14.0`	indirect
PyPI	synchronicity	`0.12.5`	indirect
PyPI	tabulate	`0.9.0`	indirect
PyPI	tasksets	`—`	indirect
PyPI	tau2	`—`	indirect
PyPI	textarena	`—`	indirect
PyPI	textarena	`0.7.4`	indirect
PyPI	textual	`—`	indirect
PyPI	textual	`8.2.4`	indirect
PyPI	tiktoken	`0.12.0`	indirect
PyPI	tiktoken	`0.13.0`	indirect
PyPI	tokenizers	`0.22.2`	indirect
PyPI	toml	`0.10.2`	indirect
PyPI	tomli	`—`	indirect
PyPI	tomli	`2.4.1`	indirect
PyPI	tomlkit	`0.14.0`	indirect
PyPI	torch	`—`	indirect
PyPI	torch	`2.8.0`	indirect
PyPI	torchaudio	`2.8.0`	indirect
PyPI	torchvision	`0.23.0`	indirect
PyPI	tqdm	`4.67.3`	indirect
PyPI	tqdm	`4.68.4`	indirect
PyPI	transformers	`—`	indirect
PyPI	transformers	`5.13.1`	indirect
PyPI	transformers	`5.6.2`	indirect
PyPI	triton	`3.4.0`	indirect
PyPI	ty	`—`	indirect
PyPI	ty	`0.0.63`	indirect
PyPI	typer	`0.24.2`	indirect
PyPI	typer	`0.26.8`	indirect
PyPI	types-certifi	`2021.10.8.3`	indirect
PyPI	types-requests	`2.33.0.20260408`	indirect
PyPI	types-toml	`0.10.8.20260518`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	tzdata	`2026.2`	indirect
PyPI	tzdata	`2026.3`	indirect
PyPI	uc-micro-py	`2.0.0`	indirect
PyPI	uncalled-for	`0.3.2`	indirect
PyPI	urllib3	`2.6.3`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	uvicorn	`—`	indirect
PyPI	uvicorn	`0.46.0`	indirect
PyPI	uvicorn	`0.51.0`	indirect
PyPI	verifiers	`—`	indirect
PyPI	verifiers	`0.1.12`	indirect
PyPI	verifiers-rl	`0.1.0`	indirect
PyPI	virtualenv	`21.6.1`	indirect
PyPI	vllm	`—`	indirect
PyPI	vllm	`0.10.2`	indirect
PyPI	wandb	`—`	indirect
PyPI	wandb	`0.26.1`	indirect
PyPI	wandb	`0.28.1`	indirect
PyPI	watchfiles	`1.1.1`	indirect
PyPI	watchfiles	`1.2.0`	indirect
PyPI	web-search-interception	`0.1.0`	indirect
PyPI	websocket-client	`1.9.0`	indirect
PyPI	websockets	`15.0.1`	indirect
PyPI	wget	`—`	indirect
PyPI	wget	`3.2`	indirect
PyPI	wheel	`—`	indirect
PyPI	wiki-search	`0.1.0`	indirect
PyPI	win32-setctime	`1.2.0`	indirect
PyPI	wordle	`0.1.0`	indirect
PyPI	xformers	`0.0.32.post1`	indirect
PyPI	xgrammar	`0.1.23`	indirect
PyPI	xxhash	`3.6.0`	indirect
PyPI	xxhash	`3.8.1`	indirect
PyPI	yappi	`1.7.6`	indirect
PyPI	yarl	`1.23.0`	indirect
PyPI	yarl	`1.24.2`	indirect
PyPI	zipp	`3.23.1`	indirect
PyPI	zipp	`4.1.0`	indirect
PyPI	zss	`1.2.0`	indirect

Dependency advisories 0

Installing pypi:verifiers@0.3.1 pulls in 107 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

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.

Raw JSON report machine-readable

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

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.

Software health index

Score profile

Ownership

Package ecosystems

Metrics by category

Key facts

Data collection warnings

More detail

Feedback

Related records