Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-16 09:41 UTC

huggingface / huggingface_hub

The official CLI and Python client for the Hugging Face Hub.

PythonApache-2.0★ 3,902 stars⑂ 1,206 forkssince Dec 2020View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

huggingface/huggingface_hub 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 (80/100). 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 89 is calibrated to 99 on the published index scale (record calibration 2026-08-02).

Ownership

Hugging FaceOrganization · verified domain
68,470 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
PyPIhuggingface_hub1.31.0-3215 days agomodel-hubmachine-learningmodelsnatural-language-processingdeep-learningpytorchpretrained-models

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 recency — last push 0 days ago
35.3/36Commit cadence — 51/52 weeks with commits
18/18Commit volume — 817 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year817
human_commit_share0.85
days_since_last_push0
active_weeks_last_year51

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 6 days ago
27/27Release cadence — a release every ~6.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv1.31.0
releases_from_tagsno
days_since_latest_release6
mean_days_between_releases6.1
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?

90Excellent · 17% of overall
How it's scored
58.3/60Stars — 3,902 stars
25/25Forks — 1,206 forks
10.4/15Watchers — 75 watchers
Inputs used
forks1,206
stars3,902
watchers75
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicescodecov.io, shields.io
has_pull_request_templateno

Sustainability & Governance

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

85Excellent · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
13/22.5Commit distribution — top contributor authored 42% of commits
13.5/13.5Contributor breadth — 96 contributors
10/10OpenSSF Scorecard: Contributors — project has 38 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled96
top_contributor_share0.422
How it's scored
38.9/42Issue resolution — 93% of issues closed
25/30PR acceptance — 2,537/3,041 decided PRs merged
11.4/13Newcomer PR acceptance — 7/8 first-time contributors' PRs merged in 30d
9/15OpenSSF Scorecard: Code-Review — Found 19/29 approved changesets -- score normalized to 6
Inputs used
merged_prs2,537
open_issues122
closed_issues1,554
prs_merged_7d38
prs_decided_7d52
prs_merged_30d42
prs_decided_30d57
issue_closed_ratio0.927
closed_unmerged_prs504
first_time_authors_30d6
first_time_prs_merged_30d7
first_time_prs_decided_30d8
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
25/25Owner reach — 68,470 followers of huggingface
25/25Track record — 467 public repos, account ~9 yr old
Inputs used
followers68,470
owner_typeOrganization
is_verifiedyes
owner_loginhuggingface
public_repos467
account_age_days3,502

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 5 days ago
20/20Version history — 321 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageshuggingface_hub
ecosystemspypi
any_deprecatedno
min_days_since_publish5

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows — 15 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 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 site — https://huggingface.co/docs/huggingface_hub
10/10Repository description
10/10Topics — 8 topics
0/10Wiki
Inputs used
topicsmodel-hub, machine-learning, models, natural-language-processing, deep-learning, pytorch, pretrained-models, hacktoberfest
has_wikino
homepagehttps://huggingface.co/docs/huggingface_hub
docs_sitehttps://huggingface.co/docs/huggingface_hub
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

80Excellent · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 30 out of 30 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
4.5/7.5Code-Review — Found 19/29 approved changesets -- score normalized to 6
2.5/2.5Contributors — project has 38 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 14 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
3/5SAST — SAST tool is not run on all commits -- score normalized to 6
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-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_aggregate7.5
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages14
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:huggingface_hub@1.31.0 runtime dependency closure — what installing the published package pulls in — 14 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.

84Excellent · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 83 of 85 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.976
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes10,683
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/huggingface_hub/py.typed
0/10Reproducible environment
10/10Demonstrated agent practice — 30 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 4 of the last 100 commits are automated dependency updates
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/huggingface_hub/py.typed
agent_commit_share0.3
toolchain_manifests—
dependency_bot_commit_share0.04
How it's scored
27/45Type-checkable code — Python with type-check config (src/huggingface_hub/py.typed)
52.5/55Manageable file sizes — 13/287 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes687,225
source_files_sampled287
oversized_source_files13

Key facts

3,902GitHub stars
96contributors
817commits, last 12 months
0days since last push
100releases
2bus factor
122open 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 23 authors (cap 12)
  • pypi download statistics for 'huggingface_hub' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

More detail

Star and fork history 0 ★ / 1,206 ⇿
0Stars
1,206Forks
100Releases

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.

02505007501,0001,2501,206122023-062025-012026-09
Major 1Minor 41Patch 58

Each point covers 3 days.

OpenSSF Scorecard 7.5 / 10
7.5aggregate

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 · 2026-09-16 09:40 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
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
6Code-ReviewFound 19/29 approved changesets -- score normalized to 6
10Contributorsproject has 38 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 14 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
6SASTSAST tool is not run on all commits -- score normalized to 6
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 46

Full resolved dependency set from the GitHub dependency graph: 0 direct and 46 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIauthlib—indirect
PyPIclick—indirect
PyPIduckdb—indirect
PyPIfastai—indirect
PyPIfastapi—indirect
PyPIfastcore—indirect
PyPIfilelock—indirect
PyPIfsspec—indirect
PyPIgradio—indirect
PyPIhf-xet—indirect
PyPIhttpx—indirect
PyPIitsdangerous—indirect
PyPIjedi—indirect
PyPIjinja2—indirect
PyPIlibcst—indirect
PyPImcp—indirect
PyPImypy1.15.0indirect
PyPInumpy—indirect
PyPIpackaging—indirect
PyPIpillow—indirect
PyPIpytest—indirect
PyPIpytest-asyncio—indirect
PyPIpytest-cov—indirect
PyPIpytest-env—indirect
PyPIpytest-mock—indirect
PyPIpytest-rerunfailures—indirect
PyPIpytest-vcr—indirect
PyPIpytest-xdist—indirect
PyPIpyyaml—indirect
PyPIrequests—indirect
PyPIruff—indirect
PyPIsafetensors—indirect
PyPIshellingham—indirect
PyPIsoundfile—indirect
PyPItoml—indirect
PyPItorch—indirect
PyPItqdm—indirect
PyPIty—indirect
PyPItyper-slim—indirect
PyPItypes-pyyaml—indirect
PyPItypes-simplejson—indirect
PyPItypes-toml—indirect
PyPItypes-tqdm—indirect
PyPItypes-urllib3—indirect
PyPItyping-extensions—indirect
PyPIurllib3—indirect
Dependency advisories 0

Installing pypi:huggingface_hub@1.31.0 pulls in 14 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 statistics — PyPI.