Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-09 03:48 UTC

pypa / setuptools

Official project repository for the Setuptools build system

PythonMIT★ 2,857 stars⑂ 1,429 forkssince Mar 2016View on GitHub ↗
KindPluginLibraryhow this is determined

pypa/setuptools holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (91/100) and lowest on Security (64/100). It was last updated today. A single contributor accounts for most of its recent work.

94
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.

94
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 80 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

Python Packaging AuthorityOrganization · verified domain
2,417 followers59 public repossince Mar 2011

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIsetuptools84.0.01,287,846,47262431 days agocpanpypidistutilseggspackagemanagement

Metrics by category

Vitality

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

88Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
22.2/36Commit cadence — 32/52 weeks with commits
18/18Commit volume — 343 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year343
human_commit_share1
days_since_last_push0
active_weeks_last_year32
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 31 days ago
19.8/27Release cadence — a release every ~48.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv84.0.0
releases_from_tagsno
days_since_latest_release31
mean_days_between_releases48.7
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?

87Excellent · 17% of overall
How it's scored
56.1/60Stars — 2,857 stars
25/25Forks — 1,429 forks
11/15Watchers — 98 watchers
Inputs used
forks1,429
stars2,857
watchers98
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes
How it's scored
80/80Monthly downloads — 1,287,846,472 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagessetuptools
dependents—
ecosystemspypi
total_downloads—
monthly_downloads1,287,846,472
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?

72Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
10.9/22.5Commit distribution — top contributor authored 52% of commits
13.5/13.5Contributor breadth — 98 contributors
10/10OpenSSF Scorecard: Contributors — project has 109 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled98
top_contributor_share0.516
How it's scored
33/42Issue resolution — 79% of issues closed
23.3/30PR acceptance — 1,546/1,989 decided PRs merged
0/13Newcomer PR acceptance — 0/4 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 2/14 approved changesets -- score normalized to 1
Inputs used
merged_prs1,546
open_issues609
closed_issues2,234
prs_merged_7d1
prs_decided_7d2
prs_merged_30d1
prs_decided_30d5
issue_closed_ratio0.786
closed_unmerged_prs443
first_time_authors_30d4
first_time_prs_merged_30d0
first_time_prs_decided_30d4
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
24.3/25Owner reach — 2,417 followers of pypa
24.9/25Track record — 59 public repos, account ~15 yr old
Inputs used
followers2,417
owner_typeOrganization
is_verifiedyes
owner_loginpypa
public_repos59
account_age_days5,669

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 31 days ago
20/20Version history — 624 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagessetuptools
ecosystemspypi
any_deprecatedno
min_days_since_publish31

Engineering Quality

Are baseline engineering and documentation practices in place?

91Excellent · 19% of overall
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — ruff.toml, tox.ini
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
12/20OpenSSF Scorecard: CI-Tests — 3 out of 5 merged PRs checked by a CI test -- score normalized to 6
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://pypi.org/project/setuptools/
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepagehttps://pypi.org/project/setuptools/
docs_sitehttps://pypi.org/project/setuptools/
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
How it's scored
1.5/7.5Binary-Artifacts — binaries present in source code
0/7.5Branch-Protection — branch protection not enabled on development/release branches
1.5/2.5CI-Tests — 3 out of 5 merged PRs checked by a CI test -- score normalized to 6
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 2/14 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 109 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
5/5Fuzzing — project is fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 5 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
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
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_aggregate5.5
Excluded from scoring (no data or not applicable): Packaging, 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
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages1
unassessed_packages31
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 1 resolved dependencies against OSV. 31 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.

68Good · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md
0/15Machine-readable docs (llms.txt)
36.3/40Legible commit history — 68 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.68
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes342
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — ruff.toml, tox.ini
11/11Static type checking — mypy.ini, pyrightconfig.json, setuptools/_distutils/compilers/C/py.typed, setuptools/_distutils/py.typed, setuptools/_vendor/importlib_metadata/py.typed, setuptools/_vendor/jaraco/context/py.typed, setuptools/_vendor/jaraco/functools/py.typed, setuptools/_vendor/more_itertools/py.typed, setuptools/_vendor/packaging/py.typed, setuptools/_vendor/platformdirs/py.typed, setuptools/_vendor/tomli/py.typed
0/10Reproducible environment
10/10Demonstrated agent practice — 53 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsmypy.ini, pyrightconfig.json, setuptools/_distutils/compilers/C/py.typed, setuptools/_distutils/py.typed, setuptools/_vendor/importlib_metadata/py.typed, setuptools/_vendor/jaraco/context/py.typed, setuptools/_vendor/jaraco/functools/py.typed, setuptools/_vendor/more_itertools/py.typed, setuptools/_vendor/packaging/py.typed, setuptools/_vendor/platformdirs/py.typed, setuptools/_vendor/tomli/py.typed
agent_commit_share0.53
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (mypy.ini, pyrightconfig.json, setuptools/_distutils/compilers/C/py.typed, setuptools/_distutils/py.typed, setuptools/_vendor/importlib_metadata/py.typed, setuptools/_vendor/jaraco/context/py.typed, setuptools/_vendor/jaraco/functools/py.typed, setuptools/_vendor/more_itertools/py.typed, setuptools/_vendor/packaging/py.typed, setuptools/_vendor/platformdirs/py.typed, setuptools/_vendor/tomli/py.typed)
54.5/55Manageable file sizes — 3/336 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes365,819
source_files_sampled336
oversized_source_files3

Key facts

2,857GitHub stars
98contributors
343commits, last 12 months
0days since last push
100releases
1bus factor
609open 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 ★ / 1,429 ⇿
0Stars
1,429Forks
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.

05001,0001,5001,429942019-052023-012026-09
Major 15Minor 40Patch 45

Each point covers 7 days.

OpenSSF Scorecard 5.5 / 10
5.5aggregate

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 · 2026-09-09 03:47 UTC

2Binary-Artifactsbinaries present in source code
0Branch-Protectionbranch protection not enabled on development/release branches
6CI-Tests3 out of 5 merged PRs checked by a CI test -- score normalized to 6
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 2/14 approved changesets -- score normalized to 1
10Contributorsproject has 109 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 5 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
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 32

Full resolved dependency set from the GitHub dependency graph: 0 direct and 32 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbuild—indirect
PyPIfilelock—indirect
PyPIini2toml—indirect
PyPIjaraco-develop—indirect
PyPIjaraco-envs—indirect
PyPIjaraco-functools—indirect
PyPIjaraco-packaging—indirect
PyPIjaraco-path—indirect
PyPIjaraco-test—indirect
PyPIjaraco-text—indirect
PyPIjaraco-tidelift—indirect
PyPImore-itertools—indirect
PyPImypy—indirect
PyPIpackaging—indirect
PyPIpip—indirect
PyPIpygments-github-lexers0.0.5indirect
PyPIpyproject-hooks—indirect
PyPIpytest—indirect
PyPIpytest-checkdocs—indirect
PyPIpytest-enabler—indirect
PyPIpytest-home—indirect
PyPIpytest-mypy—indirect
PyPIpytest-ruff—indirect
PyPIpytest-xdist—indirect
PyPIrst-linker—indirect
PyPIruff—indirect
PyPIsphinx—indirect
PyPIsphinx-notfound-page—indirect
PyPItomli-w—indirect
PyPItowncrier—indirect
PyPIvirtualenv—indirect
PyPIwheel—indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 1 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct. 31 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

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.