Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-20 07:04 UTC

hud-evals / hud-python

RL environments + evals for AI agents. Define once, train anything.

PythonMIT★ 302 stars⑂ 75 forkssince Mar 2025View on GitHub ↗
KindCommand-line toolMCP serverLibraryhow this is determined
#grpo#llm#qwen3#reinforcement-learning#reinforcement-learning-environments#rl#agents#evals#qwen

hud-evals/hud-python holds a health index of 92 out of 100, placing it in the Excellent band. It scores highest on Vitality (99/100) and lowest on Security (64/100). It was last updated today. 2 contributors account for most of its recent work.

92
overall / 100
Excellent

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.

92
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)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

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 78 is calibrated to 92 on the published index scale (record calibration 2026-08-02).

Ownership

hudOrganization
55 followers60 public repossince Nov 2024

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIhud0.6.1821,460190 days ago

Metrics by category

Vitality

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

99Exceptional · 21% of overall

Development activity

99Exceptional
How it's scored
36/36Push recency — last push 0 days ago
34.6/36Commit cadence — 50/52 weeks with commits
18/18Commit volume — 2,192 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year2,192
human_commit_share0.99
days_since_last_push0
active_weeks_last_year50

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~3.3 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv0.6.18
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases3.3
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?

66Good · 17% of overall

Popularity & adoption

58Moderate
How it's scored
40.2/60Stars — 302 stars
15.6/25Forks — 75 forks
1.7/15Watchers — 3 watchers
Inputs used
forks75
stars302
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

72Good
How it's scored
57.8/80Monthly downloads — 21,460 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageshud
dependents—
ecosystemspypi
total_downloads—
monthly_downloads21,460
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?

69Good · 23% of overall

Maintainer resilience (bus factor)

61Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.1/22.5Commit distribution — top contributor authored 46% of commits
13.5/13.5Contributor breadth — 34 contributors
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled34
top_contributor_share0.462

Issue & PR responsiveness

64Moderate
How it's scored
36/42Issue resolution — 86% of issues closed
23/30PR acceptance — 495/647 decided PRs merged
1.9/13Newcomer PR acceptance — 1/7 first-time contributors' PRs merged in 30d
3/15OpenSSF Scorecard: Code-Review — Found 5/20 approved changesets -- score normalized to 2
Inputs used
merged_prs495
open_issues2
closed_issues12
prs_merged_7d11
prs_decided_7d16
prs_merged_30d38
prs_decided_30d59
issue_closed_ratio0.857
closed_unmerged_prs152
first_time_authors_30d5
first_time_prs_merged_30d1
first_time_prs_decided_30d7

Ownership & stewardship

59Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
12.6/25Owner reach — 55 followers of hud-evals
16.8/25Track record — 60 public repos, account ~1 yr old
Inputs used
followers55
owner_typeOrganization
is_verifiedno
owner_loginhud-evals
public_repos60
account_age_days687

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 19 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageshud
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 16 out of 16 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://www.hud.ai
10/10Repository description
10/10Topics — 9 topics
0/10Wiki
Inputs used
topicsgrpo, llm, qwen3, reinforcement-learning, reinforcement-learning-environments, rl, agents, evals, qwen
has_wikino
homepagehttps://www.hud.ai
docs_sitehttps://www.hud.ai
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

64Moderate · 16% of overall

Security posture

68Good
How it's scored
6.8/7.5Binary-Artifacts — binaries present in source code
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 16 out of 16 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-Review — Found 5/20 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 8 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
4/5SAST — SAST tool is not run on all commits -- score normalized to 8
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.8
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

46Weak
How it's scored
5.6/35Direct dependencies free of known advisories — 5 affected: pillow 11.2.1 (critical 9.1), httpx2 2.10.0 (high 7.5), mcp 1.27.0 (high 7.6), +2 more
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
28.7/40No advisories left outstanding — 2 advisory-carrying package(s) unaddressed past 90 days; oldest published 445 days ago
Inputs used
sourceosv
advisories195
affected_packages25
assessed_packages262
unassessed_packages29
affected_by_severitycritical 4, high 13, moderate 7, low 1
direct_affected_packages5
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 262 resolved dependencies against OSV. 29 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.

76Good · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.hud.ai/llms.txt)
40/40Legible commit history — 96 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.hud.ai/llms.txt
legible_history_share0.97
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes8,396

Verify loop (build / test / typecheck)

72Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — hud/py.typed
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 7 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 1 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configshud/py.typed
agent_commit_share0.07
toolchain_manifests—
dependency_bot_commit_share0.01

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (hud/py.typed)
54.5/55Manageable file sizes — 3/300 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes84,322
source_files_sampled300
oversized_source_files3

Machine-readable interfaces

33At Risk
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
0/40Runnable examples
Inputs used
example_dirs—
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

302GitHub stars
34contributors
2,192commits, last 12 months
0days since last push
100releases
2bus factor
2open 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:hud@0.6.18; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 75 ⇿
0Stars
75Forks
96Releases

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.

01325385063757452025-032025-122026-09
Major 0Minor 2Patch 85

Each point covers 2 days.

OpenSSF Scorecard 6.8 / 10
6.8aggregate

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 07:03 UTC

9Binary-Artifactsbinaries present in source code
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests16 out of 16 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 5/20 approved changesets -- score normalized to 2
10Contributorsproject has 8 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
8SASTSAST tool is not run on all commits -- score normalized to 8
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 19
RegistryPackageVersion constraintManifest
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PyPIhttpx2>=2.0.0,<3pyproject.toml
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PyPIpydantic-settings>=2.2,<3pyproject.toml
PyPIpython-dotenv>=1.0,<2pyproject.toml
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PyPIasyncvnc>=1.3.0pyproject.toml
PyPIpillow>=11.0.0pyproject.toml
PyPIwebsockets>=15.0.1pyproject.toml
All dependencies 291

Full resolved dependency set from the GitHub dependency graph: 51 direct and 240 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIrequests2.34.2indirect
PyPIrich-rst1.3.1indirect
PyPIrich-rst1.3.2indirect
PyPIrich-rst2.1.0indirect
PyPIrpds-py0.24.0indirect
PyPIrpds-py0.25.1indirect
PyPIrpds-py2026.6.3indirect
PyPIrsa4.9.1indirect
PyPIruff0.11.2indirect
PyPIruff0.16.1indirect
PyPIsecretstorage3.5.0indirect
PyPIshellingham1.5.4indirect
PyPIsimple-websocket1.1.0indirect
PyPIsix1.17.0indirect
PyPIsmoke0.1.0indirect
PyPIsniffio1.3.1indirect
PyPIsse-starlette2.3.3indirect
PyPIsse-starlette2.3.6indirect
PyPIsse-starlette3.4.6indirect
PyPIstarlette0.46.2indirect
PyPIstarlette1.3.1indirect
PyPItenacity9.1.2indirect
PyPItenacity9.1.4indirect
PyPItinker-cookbook—indirect
PyPItoml0.10.2indirect
PyPItorch—indirect
PyPItqdm4.67.1indirect
PyPItqdm4.67.3indirect
PyPItqdm4.70.0indirect
PyPItruststore0.10.4indirect
PyPIty0.0.67indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPIuncalled-for0.4.0indirect
PyPIurllib32.5.0indirect
PyPIurllib32.6.3indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.40.0indirect
PyPIuvicorn0.44.0indirect
PyPIuvicorn0.51.0indirect
PyPIwatchfiles1.1.1indirect
PyPIwatchfiles1.2.0indirect
PyPIwcwidth0.2.14indirect
PyPIwcwidth0.6.0indirect
PyPIwcwidth0.8.2indirect
PyPIwebsocket-client1.9.0indirect
PyPIwerkzeug2.3.8indirect
PyPIwrapt2.2.2indirect
PyPIwsproto1.3.2indirect
PyPIyarl1.24.5indirect
PyPIzipp3.23.0indirect
PyPIzipp3.23.1indirect
PyPIzipp4.1.0indirect
Dependency advisories 25

This repository publishes no package the index resolves, so its own dependency graph was assessed — 262 packages, which also include development and test pins that never ship: 25 carry known advisories, of which 5 are direct. 29 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
pillow11.2.1directcritical3812.3.0
authlib1.6.6indirectcritical141.7.1
cryptography45.0.6indirectcritical1350.0.0
cryptography46.0.6indirectcritical950.0.0
httpx22.10.0directhigh62.12.0
mcp1.27.0directhigh61.28.1
click8.1.8indirecthigh18.3.3
click8.2.1indirecthigh18.3.3
pyasn10.6.2indirecthigh80.6.4
pyasn10.6.3indirecthigh60.6.4
pyjwt2.10.1indirecthigh132.13.0
pyjwt2.12.1indirecthigh92.13.0
python-multipart0.0.20indirecthigh140.0.31
starlette0.46.2indirecthigh141.3.1
urllib32.5.0indirecthigh82.7.0
urllib32.6.3indirecthigh42.7.0
werkzeug2.3.8indirecthigh123.1.6
asyncssh2.23.1directmoderate12.24.0
python-dotenv1.1.0directmoderate21.2.2
authlib1.6.9indirectmoderate61.7.1
cryptography49.0.0indirectmoderate250.0.0
pytest8.4.0indirectmoderate29.0.3
pytest8.4.2indirectmoderate29.0.3
requests2.32.4indirectmoderate22.33.0
pygments2.19.1indirectlow22.20.0

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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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.