Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-16 10:45 UTC

pypa / setuptools-scm

the blessed package to manage your versions by scm tags

PythonNo license detected★ 952 stars⑂ 248 forkssince Jul 2015View on GitHub ↗
KindPluginCommand-line toolLibraryhow this is determined
#metadata#packaging#python#version-control

pypa/setuptools-scm holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Vitality (95/100) and lowest on Security (61/100). 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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

Python Packaging AuthorityOrganization · verified domain
2,422 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 publish
PyPIsetuptools-scm10.2.397,686,14611112 days ago
PyPIvcs-versioning2.4.190,835,953190 days ago

Metrics by category

Vitality

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

95Exceptional · 21% of overall

Development activity

92Excellent
How it's scored
36/36Push recency — last push 0 days ago
27.7/36Commit cadence — 40/52 weeks with commits
18/18Commit volume — 662 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year662
human_commit_share0.83
days_since_last_push0
active_weeks_last_year40

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 ~1.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagvcs-versioning-v2.4.1
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases1.6
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?

76Good · 17% of overall

Popularity & adoption

75Good
How it's scored
48.3/60Stars — 952 stars
19.9/25Forks — 248 forks
7.2/15Watchers — 21 watchers
Inputs used
forks248
stars952
watchers21
growth_stateorganic
growth_factor_pct100

Community health

60Moderate
How it's scored
22.5/22.5README
0/22.5License — no license file detected
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseno
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 188,522,099 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagessetuptools-scm, vcs-versioning
dependents—
ecosystemspypi
total_downloads—
monthly_downloads188,522,099
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?

76Good · 23% of overall

Maintainer resilience (bus factor)

37Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
4.3/22.5Commit distribution — top contributor authored 81% of commits
13.5/13.5Contributor breadth — 96 contributors
10/10OpenSSF Scorecard: Contributors — project has 106 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled96
top_contributor_share0.81

Issue & PR responsiveness

79Good
How it's scored
41.1/42Issue resolution — 98% of issues closed
26.3/30PR acceptance — 717/819 decided PRs merged
9.8/13Newcomer PR acceptance — 3/4 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 1/7 approved changesets -- score normalized to 1
Inputs used
merged_prs717
open_issues16
closed_issues701
prs_merged_7d10
prs_decided_7d11
prs_merged_30d15
prs_decided_30d16
issue_closed_ratio0.978
closed_unmerged_prs102
first_time_authors_30d4
first_time_prs_merged_30d3
first_time_prs_decided_30d4

Ownership & stewardship

99Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
24.3/25Owner reach — 2,422 followers of pypa
24.9/25Track record — 59 public repos, account ~15 yr old
Inputs used
followers2,422
owner_typeOrganization
is_verifiedyes
owner_loginpypa
public_repos59
account_age_days5,676

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 2 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 111 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagessetuptools-scm, vcs-versioning
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff]), setuptools-scm/pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 10 out of 10 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://setuptools-scm.readthedocs.io/en/latest/
10/10Repository description
10/10Topics — 4 topics
0/10Wiki
Inputs used
topicsmetadata, packaging, python, version-control
has_wikino
homepagehttps://setuptools-scm.readthedocs.io/en/latest/
docs_sitehttps://setuptools-scm.readthedocs.io/en/latest/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

61Moderate · 16% of overall

Security posture

51Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 10 out of 10 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
0.8/7.5Code-Review — Found 1/7 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 106 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
0/2.5License — license file not detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 30 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.1
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 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_packages3
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:setuptools-scm@10.2.3 runtime dependency closure — what installing the published package pulls in — 3 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.

85Excellent · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 79 of 83 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.952
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes4,620

Verify loop (build / test / typecheck)

81Excellent
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff]), setuptools-scm/pyproject.toml ([tool.ruff])
11/11Static type checking — setuptools-scm/src/setuptools_scm/py.typed, vcs-versioning/src/vcs_versioning/py.typed
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 35 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 5 of the last 100 commits are automated dependency updates
9/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configssetuptools-scm/src/setuptools_scm/py.typed, vcs-versioning/src/vcs_versioning/py.typed
agent_commit_share0.35
toolchain_manifests—
dependency_bot_commit_share0.05

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (setuptools-scm/src/setuptools_scm/py.typed, vcs-versioning/src/vcs_versioning/py.typed)
54.6/55Manageable file sizes — 1/132 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes69,662
source_files_sampled132
oversized_source_files1

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
Inputs used
example_dirsexamples
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

952GitHub stars
96contributors
662commits, last 12 months
0days since last push
100releases
1bus factor
16open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-04: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 952 stars today.
  • Could not fetch pypi package 'vcs-versioning.workspace' from its registry

More detail

Star and fork history 950 ★ / 248 ⇿
950Stars
248Forks
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.

Star history is shown as collected on 2026-07-04. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

02004006008001,000950242102015-072021-022026-09
Major 7Minor 16Patch 38

Each point covers 11 days.

OpenSSF Scorecard 5.1 / 10
5.1aggregate

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 10:44 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests10 out of 10 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 1/7 approved changesets -- score normalized to 1
10Contributorsproject has 106 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
0Licenselicense file not detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
9Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities30 existing vulnerabilities detected
Direct dependencies 10
RegistryPackageVersion constraintManifest
PyPIvcs-versioning—pyproject.toml
PyPIsetuptools-scm—pyproject.toml
PyPIvcs-versioning>=2.4.0.dev0,<3setuptools-scm/pyproject.toml
PyPIpackaging>=20setuptools-scm/pyproject.toml
PyPIsetuptools—setuptools-scm/pyproject.toml
PyPItomli>=1setuptools-scm/pyproject.toml
PyPItyping-extensions>=4.1setuptools-scm/pyproject.toml
PyPIpackaging>=26.2vcs-versioning/pyproject.toml
PyPItomli>=1vcs-versioning/pyproject.toml
PyPItyping-extensions>=4.1vcs-versioning/pyproject.toml
All dependencies 151

Full resolved dependency set from the GitHub dependency graph: 12 direct and 139 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIpackaging—direct
PyPIpackaging26.2direct
PyPIsetuptools—direct
PyPIsetuptools75.3.4direct
PyPIsetuptools80.9.0direct
PyPIsetuptools82.0.1direct
PyPItomli2.3.0direct
PyPItomli2.4.1direct
PyPItyping-extensions4.13.2direct
PyPItyping-extensions4.15.0direct
PyPIvcs-versioning—direct
PyPIvcs-versioning2.2.2direct
PyPIast-serialize0.4.0indirect
PyPIast-serialize0.5.0indirect
PyPIbabel2.17.0indirect
PyPIbabel2.18.0indirect
PyPIbackrefs6.1indirect
PyPIbackrefs7.0indirect
PyPIbracex2.6indirect
PyPIbuild1.2.2.post1indirect
PyPIbuild1.4.4indirect
PyPIbuild1.5.0indirect
PyPIcertifi2025.11.12indirect
PyPIcertifi2026.6.17indirect
PyPIcffi1.17.1indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.1.8indirect
PyPIclick8.3.1indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.10.7indirect
PyPIcoverage7.15.4indirect
PyPIcoverage7.6.1indirect
PyPIcryptography47.0.0indirect
PyPIcryptography48.0.1indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIflake85.0.4indirect
PyPIflake87.1.2indirect
PyPIflake87.3.0indirect
PyPIghp-import2.1.0indirect
PyPIgriffe2.1.0indirect
PyPIgriffe2.3.0indirect
PyPIgriffe-public-wildcard-imports0.3.1indirect
PyPIgriffecli2.1.0indirect
PyPIgriffecli2.3.0indirect
PyPIgriffelib2.1.0indirect
PyPIgriffelib2.3.0indirect
PyPIidna3.15indirect
PyPIidna3.18indirect
PyPIimportlib-metadata8.5.0indirect
PyPIimportlib-metadata8.7.0indirect
PyPIimportlib-metadata8.7.1indirect
PyPIimportlib-metadata9.0.0indirect
PyPIimportlib-resources6.4.5indirect
PyPIimportlib-resources6.5.2indirect
PyPIiniconfig2.1.0indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIlibrt0.11.0indirect
PyPImarkdown3.10indirect
PyPImarkdown3.10.2indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe2.1.5indirect
PyPImarkupsafe3.0.3indirect
PyPImccabe0.7.0indirect
PyPImdurl0.1.2indirect
PyPImergedeep1.3.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.3indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.0indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-include-markdown-plugin7.3.0indirect
PyPImkdocs-material9.7.6indirect
PyPImkdocs-material9.7.7indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocstrings1.0.4indirect
PyPImkdocstrings1.0.5indirect
PyPImkdocstrings-python2.0.0indirect
PyPImkdocstrings-python2.0.5indirect
PyPImypy1.14.1indirect
PyPImypy1.19.1indirect
PyPImypy2.1.0indirect
PyPImypy-extensions1.1.0indirect
PyPIpaginate0.5.7indirect
PyPIpathspec1.1.1indirect
PyPIpip25.0.1indirect
PyPIpip26.0.1indirect
PyPIpip26.1.2indirect
PyPIplatformdirs4.10.0indirect
PyPIplatformdirs4.5.0indirect
PyPIpluggy1.5.0indirect
PyPIpluggy1.6.0indirect
PyPIpycodestyle2.12.1indirect
PyPIpycodestyle2.14.0indirect
PyPIpycodestyle2.9.1indirect
PyPIpycparser2.23indirect
PyPIpyflakes2.5.0indirect
PyPIpyflakes3.2.0indirect
PyPIpyflakes3.4.0indirect
PyPIpygithub2.8.1indirect
PyPIpygithub2.9.0indirect
PyPIpygments2.19.2indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpyjwt2.9.0indirect
PyPIpymdown-extensions11.0indirect
PyPIpymdown-extensions11.0.1indirect
PyPIpynacl1.6.2indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest8.3.5indirect
PyPIpytest8.4.2indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov5.0.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist3.6.1indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIrequests2.32.4indirect
PyPIrequests2.32.5indirect
PyPIrequests2.33.0indirect
PyPIrequests2.34.2indirect
PyPIrich—indirect
PyPIrich13.9.4indirect
PyPIrich14.3.4indirect
PyPIrich15.0.0indirect
PyPIsix1.17.0indirect
PyPItowncrier24.8.0indirect
PyPItowncrier25.8.0indirect
PyPItypes-setuptools75.8.0.20250110indirect
PyPItypes-setuptools81.0.0.20260209indirect
PyPItypes-setuptools82.0.0.20260518indirect
PyPIurllib32.2.3indirect
PyPIurllib32.6.3indirect
PyPIurllib32.7.0indirect
PyPIvcs-versioning-workspace0.1+privateindirect
PyPIwatchdog3.0.0indirect
PyPIwatchdog6.0.0indirect
PyPIwcmatch10.1indirect
PyPIzipp3.20.2indirect
PyPIzipp3.23.0indirect
PyPIzipp3.23.1indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:setuptools-scm@10.2.3 pulls in 3 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

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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.