Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-24 21:32 UTC

huggingface / trl

Train transformer language models with reinforcement learning.

PythonApache-2.0★ 19,145 stars⑂ 2,930 forkssince Mar 2020View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

huggingface/trl holds a health index of 99 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on Security (79/100). It was last updated today. 2 contributors account for most of its recent work.

99
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.

99
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 90 is calibrated to 99 on the published index scale (record calibration 2026-08-02).

Ownership

Hugging FaceOrganization · verified domain
67,436 followers467 public repossince Feb 2017

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPItrl1.10.04,134,8879811 days agotransformershuggingfacelanguage-modelingpost-trainingrlhfsftdpogrpo

Metrics by category

Vitality

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

99Exceptional · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
35.3/36Commit cadence51/52 weeks with commits
18/18Commit volume1,710 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,710
human_commit_share0.99
days_since_last_push0
active_weeks_last_year51

Release discipline

100Exceptional
How it's scored
27/27Ships releases93 releases published
36/36Release recencylatest release 11 days ago
27/27Release cadencea release every ~8.8 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count93
latest_release_tagv1.10.0
releases_from_tagsno
days_since_latest_release11
mean_days_between_releases8.8
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?

96Exceptional · 17% of overall
How it's scored
60/60Stars19,145 stars
25/25Forks2,930 forks
11.1/15Watchers102 watchers
Inputs used
forks2,930
stars19,145
watchers102
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes
How it's scored
80/80Monthly downloads4,134,887 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagestrl
dependents
ecosystemspypi
total_downloads
monthly_downloads4,134,887
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
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
15.1/22.5Commit distributiontop contributor authored 33% of commits
13.5/13.5Contributor breadth98 contributors
10/10OpenSSF Scorecard: Contributorsproject has 17 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled98
top_contributor_share0.331
How it's scored
40.3/42Issue resolution96% of issues closed
24/30PR acceptance3,235/4,045 decided PRs merged
2.2/13Newcomer PR acceptance1/6 first-time contributors' PRs merged in 30d
6/15OpenSSF Scorecard: Code-ReviewFound 13/30 approved changesets -- score normalized to 4
Inputs used
merged_prs3,235
open_issues105
closed_issues2,441
prs_merged_7d40
prs_decided_7d60
prs_merged_30d40
prs_decided_30d60
issue_closed_ratio0.959
closed_unmerged_prs810
first_time_authors_30d5
first_time_prs_merged_30d1
first_time_prs_decided_30d6
How it's scored
30/30Ownership backingorganization-owned
20/20Verified domain
25/25Owner reach67,436 followers of huggingface
25/25Track record467 public repos, account ~9 yr old
Inputs used
followers67,436
owner_typeOrganization
is_verifiedyes
owner_loginhuggingface
public_repos467
account_age_days3,480

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 11 days ago
20/20Version history98 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagestrl
ecosystemspypi
any_deprecatedno
min_days_since_publish11

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows16 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttp://hf.co/docs/trl
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepagehttp://hf.co/docs/trl
docs_sitehttp://hf.co/docs/trl
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

79Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
3.8/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3/7.5Code-ReviewFound 13/30 approved changesets -- score normalized to 4
2.5/2.5Contributorsproject has 17 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
4/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
3.5/5SASTSAST tool detected but not run on all commits
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7.4
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages51
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:trl@1.10.0 runtime dependency closure — what installing the published package pulls in — 51 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.

91Excellent · 4% of overall
How it's scored
45/45Agent instructions.ai/AGENTS.md, AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
39.9/40Legible commit history74 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.747
agent_instruction_files.ai/AGENTS.md, AGENTS.md, CLAUDE.md
agent_instruction_max_bytes5,428
How it's scored
18/18One-command bootstrapMakefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff])
11/11Static type checkingtrl/py.typed
10/10Reproducible environmentDockerfile
8/10Demonstrated agent practice4 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance1 of the last 100 commits are automated dependency updates
8/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configstrl/py.typed
agent_commit_share0.04
toolchain_manifests
dependency_bot_commit_share0.01
How it's scored
27/45Type-checkable codePython with type-check config (trl/py.typed)
51.1/55Manageable file sizes26/363 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes246,579
source_files_sampled363
oversized_source_files26
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalno
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

19,145GitHub stars
98contributors
1,710commits, last 12 months
0days since last push
93releases
2bus factor
105open 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 18 authors (cap 12)

More detail

Star and fork history 0 ★ / 2,930 ⇿
0Stars
2,930Forks
36Releases

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.

1,5002,0002,5003,0002,930112025-072026-012026-08
Major 1Minor 20Patch 14

Each point covers 2 days.

OpenSSF Scorecard 7.4 / 10
7.4aggregate

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 · 2026-08-24 21:32 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 13/30 approved changesets -- score normalized to 4
10Contributorsproject has 17 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 24 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
7SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPIaccelerate>=1.4.0pyproject.toml
PyPIdatasets>=4.7.0pyproject.toml
PyPIjinja2pyproject.toml
PyPIpackaging>20.0pyproject.toml
PyPItransformers>=4.56.2pyproject.toml
All dependencies 16

Full resolved dependency set from the GitHub dependency graph: 4 direct and 12 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIacceleratedirect
PyPIdatasetsdirect
PyPIpackagingdirect
PyPItransformersdirect
PyPIaiohttpindirect
PyPIdeepspeedindirect
PyPIharborindirect
PyPIliger-kernelindirect
PyPImath-verifyindirect
PyPInum2words0.5.14indirect
PyPIopenrewardindirect
PyPIpeftindirect
PyPIpytest-datadirindirect
PyPIpytest-rerunfailures15.1indirect
PyPIsetuptoolsindirect
PyPIvllmindirect
Dependency advisories 0

Installing pypi:trl@1.10.0 pulls in 51 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.

The message is kept through sign-in.

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 statisticsPyPI.