Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-28 00:25 UTC

pypa / pip

The Python package installer

PythonMIT★ 10,271 stars⑂ 3,360 forkssince Mar 2011View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

pypa/pip holds a health index of 98 out of 100, placing it in the Exceptional band. It scores highest on Community & Adoption (96/100) and lowest on AI Readiness (66/100). It was last updated 4 days ago. 5 contributors account for most of its recent work.

98
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.

98
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 88 is calibrated to 98 on the published index scale (record calibration 2026-08-02).

Ownership

Python Packaging AuthorityOrganization · verified domain
2,414 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
PyPIpip26.2.1-15923 days ago

Metrics by category

Vitality

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

91Excellent · 21% of overall
How it's scored
36/36Push recency — last push 4 days ago
35.3/36Commit cadence — 51/52 weeks with commits
18/18Commit volume — 793 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year793
human_commit_share0.96
days_since_last_push4
active_weeks_last_year51
How it's scored
16.2/27Ships releases — 59 version tags (no GitHub releases)
36/36Release recency — latest release 23 days ago
19.8/27Release cadence — a release every ~106.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count59
latest_release_tag26.2.1
releases_from_tagsyes
days_since_latest_release23
mean_days_between_releases106.8
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
60/60Stars — 10,271 stars
25/25Forks — 3,360 forks
13.9/15Watchers — 315 watchers
Inputs used
forks3,360
stars10,271
watchers315
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
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_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes

Sustainability & Governance

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

89Excellent · 23% of overall
How it's scored
45.9/54Bus factor — 5 contributor(s) cover half of all commits
17.7/22.5Commit distribution — top contributor authored 22% of commits
13.5/13.5Contributor breadth — 98 contributors
10/10OpenSSF Scorecard: Contributors — project has 143 contributing companies or organizations
Inputs used
bus_factor5
contributors_sampled98
top_contributor_share0.215
How it's scored
37.4/42Issue resolution — 89% of issues closed
21.3/30PR acceptance — 4,480/6,299 decided PRs merged
1.4/13Newcomer PR acceptance — 1/9 first-time contributors' PRs merged in 30d
10.5/15OpenSSF Scorecard: Code-Review — Found 10/13 approved changesets -- score normalized to 7
Inputs used
merged_prs4,480
open_issues849
closed_issues6,945
prs_merged_7d1
prs_decided_7d10
prs_merged_30d22
prs_decided_30d48
issue_closed_ratio0.891
closed_unmerged_prs1,819
first_time_authors_30d9
first_time_prs_merged_30d1
first_time_prs_decided_30d9
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
24.3/25Owner reach — 2,414 followers of pypa
24.9/25Track record — 59 public repos, account ~15 yr old
Inputs used
followers2,414
owner_typeOrganization
is_verifiedyes
owner_loginpypa
public_repos59
account_age_days5,657

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 23 days ago
20/20Version history — 159 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespip
ecosystemspypi
any_deprecatedno
min_days_since_publish23

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff]), ruff.toml
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 15 out of 15 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://pip.pypa.io/
10/10Repository description
10/10Topics — 3 topics
0/10Wiki
Inputs used
topicspip, python, packaging
has_wikino
homepagehttps://pip.pypa.io/
docs_sitehttps://pip.pypa.io/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

77Good · 16% of overall
How it's scored
0/7.5Binary-Artifacts — binaries present in source code
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 15 out of 15 merged PRs checked by a CI test -- score normalized to 10
0.5/2.5CII-Best-Practices — badge detected: InProgress
5.2/7.5Code-Review — Found 10/13 approved changesets -- score normalized to 7
2.5/2.5Contributors — project has 143 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 20 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
1.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
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
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7.2
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
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_packages14
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. 14 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.

66Good · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
35.6/40Legible commit history — 64 of 96 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.667
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — noxfile.py
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff]), ruff.toml
11/11Static type checking — src/pip/_vendor/cachecontrol/py.typed, src/pip/_vendor/certifi/py.typed, src/pip/_vendor/distro/py.typed, src/pip/_vendor/idna/py.typed, src/pip/_vendor/packaging/py.typed, src/pip/_vendor/platformdirs/py.typed, src/pip/_vendor/pyproject_hooks/py.typed, src/pip/_vendor/requests/py.typed, src/pip/_vendor/resolvelib/py.typed, src/pip/_vendor/rich/py.typed, src/pip/_vendor/tomli/py.typed, src/pip/_vendor/tomli_w/py.typed, src/pip/_vendor/truststore/py.typed, src/pip/_vendor/urllib3/py.typed, src/pip/py.typed
10/10Reproducible environment — devcontainer
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 3 of the last 100 commits are automated dependency updates
3/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesnoxfile.py
has_devcontaineryes
has_linter_configyes
typecheck_configssrc/pip/_vendor/cachecontrol/py.typed, src/pip/_vendor/certifi/py.typed, src/pip/_vendor/distro/py.typed, src/pip/_vendor/idna/py.typed, src/pip/_vendor/packaging/py.typed, src/pip/_vendor/platformdirs/py.typed, src/pip/_vendor/pyproject_hooks/py.typed, src/pip/_vendor/requests/py.typed, src/pip/_vendor/resolvelib/py.typed, src/pip/_vendor/rich/py.typed, src/pip/_vendor/tomli/py.typed, src/pip/_vendor/tomli_w/py.typed, src/pip/_vendor/truststore/py.typed, src/pip/_vendor/urllib3/py.typed, src/pip/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.03
How it's scored
27/45Type-checkable code — Python with type-check config (src/pip/_vendor/cachecontrol/py.typed, src/pip/_vendor/certifi/py.typed, src/pip/_vendor/distro/py.typed, src/pip/_vendor/idna/py.typed, src/pip/_vendor/packaging/py.typed, src/pip/_vendor/platformdirs/py.typed, src/pip/_vendor/pyproject_hooks/py.typed, src/pip/_vendor/requests/py.typed, src/pip/_vendor/resolvelib/py.typed, src/pip/_vendor/rich/py.typed, src/pip/_vendor/tomli/py.typed, src/pip/_vendor/tomli_w/py.typed, src/pip/_vendor/truststore/py.typed, src/pip/_vendor/urllib3/py.typed, src/pip/py.typed)
54.1/55Manageable file sizes — 11/657 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes234,325
source_files_sampled657
oversized_source_files11

Key facts

10,271GitHub stars
98contributors
793commits, last 12 months
4days since last push
59releases
5bus factor
849open 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 29 authors (cap 12)
  • pypi download statistics for 'pip' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

More detail

Star and fork history 0 ★ / 3,360 ⇿
0Stars
3,360Forks
18Releases

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.

2,2002,4002,6002,8003,0003,2003,4003,360132022-072024-072026-08
Major 0Minor 0Patch 18

Each point covers 4 days.

OpenSSF Scorecard 7.2 / 10
7.2aggregate

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 · 2026-08-28 00:24 UTC

0Binary-Artifactsbinaries present in source code
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests15 out of 15 merged PRs checked by a CI test -- score normalized to 10
2CII-Best-Practicesbadge detected: InProgress
7Code-ReviewFound 10/13 approved changesets -- score normalized to 7
10Contributorsproject has 143 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 20 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
3Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
8Vulnerabilities2 existing vulnerabilities detected
All dependencies 15

Full resolved dependency set from the GitHub dependency graph: 0 direct and 15 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcoverage—indirect
PyPIflit-core—indirect
PyPIpytest—indirect
PyPIpytest-subket—indirect
PyPIsetuptools—indirect
PyPIsimple1.0indirect
PyPIsphinx—indirect
PyPIsphinxcontrib-towncrier—indirect
PyPItoporequires—indirect
PyPItoporequires2—indirect
PyPItoporequires3—indirect
PyPItowncrier—indirect
PyPIupper—indirect
PyPIvirtualenv—indirect
PyPIwheelbroken—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. 14 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.