Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 13:25 UTC

pypa / pip-audit

Audits Python environments, requirements files and dependency trees for known security vulnerabilities, and can automatically fix them

PythonApache-2.0★ 1,356 stars⑂ 125 forkssince Sep 2021View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

pypa/pip-audit holds a health index of 95 out of 100, placing it in the Exceptional band. It scores highest on Vitality (89/100) and lowest on AI Readiness (43/100). It was last updated 6 days ago. A single contributor accounts for most of its recent work.

95
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.

95
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 82 is calibrated to 95 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
PyPIpip_audit2.10.131,011,3546377 days ago

Metrics by category

Vitality

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

89Excellent · 21% of overall
How it's scored
36/36Push recencylast push 6 days ago
24.2/36Commit cadence35/52 weeks with commits
17.5/18Commit volume88 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year88
human_commit_share0.15
days_since_last_push6
active_weeks_last_year35
How it's scored
27/27Ships releases63 releases published
36/36Release recencylatest release 77 days ago
19.8/27Release cadencea release every ~100.5 days
8/10OpenSSF Scorecard: Signed-Releases1 out of the last 1 releases have a total of 1 signed artifacts.
Inputs used
releases_count63
latest_release_tagv2.10.1
releases_from_tagsno
days_since_latest_release77
mean_days_between_releases100.5

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

85Excellent · 17% of overall
How it's scored
50.8/60Stars1,356 stars
17.4/25Forks125 forks
7.9/15Watchers27 watchers
Inputs used
forks125
stars1,356
watchers27
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
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
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesapi.securityscorecards.dev, badge.fury.io, github.com, shields.io
has_pull_request_templateno
How it's scored
80/80Monthly downloads31,011,354 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagespip_audit
dependents
ecosystemspypi
total_downloads
monthly_downloads31,011,354
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
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
8.4/22.5Commit distributiontop contributor authored 63% of commits
13.5/13.5Contributor breadth41 contributors
10/10OpenSSF Scorecard: Contributorsproject has 32 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled41
top_contributor_share0.627
How it's scored
34/42Issue resolution81% of issues closed
26.8/30PR acceptance708/794 decided PRs merged
1/13Newcomer PR acceptance1/13 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs708
open_issues57
closed_issues243
prs_merged_7d0
prs_decided_7d1
prs_merged_30d1
prs_decided_30d13
issue_closed_ratio0.81
closed_unmerged_prs86
first_time_authors_30d10
first_time_prs_merged_30d1
first_time_prs_decided_30d13
How it's scored
30/30Ownership backingorganization-owned
20/20Verified domain
24.3/25Owner reach2,414 followers of pypa
24.9/25Track record59 public repos, account ~15 yr old
Inputs used
followers2,414
owner_typeOrganization
is_verifiedyes
owner_loginpypa
public_repos59
account_age_days5,656

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 77 days ago
20/20Version history63 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagespip_audit
ecosystemspypi
any_deprecatedno
min_days_since_publish77

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall
How it's scored
24/24CI workflows6 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests26 out of 26 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configno
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage sitehttps://pypi.org/project/pip-audit/
10/10Repository description
10/10Topics5 topics
10/10Wiki
Inputs used
topicssecurity, security-audit, python, pip, supply-chain
has_wikiyes
homepagehttps://pypi.org/project/pip-audit/
docs_sitehttps://pypi.org/project/pip-audit/
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

87Excellent · 16% of overall

Security posture

84Excellent
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
6/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests26 out of 26 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
7.5/7.5Code-Reviewall changesets reviewed
2.5/2.5Contributorsproject has 32 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 9 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
5/5SASTSAST tool is run on all commits
0/5Security-Policysecurity policy file not detected
6/7.5Signed-Releases1 out of the last 1 releases have a total of 1 signed artifacts.
7.5/7.5Token-PermissionsGitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate8.4

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_packages27
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:pip_audit@2.10.1 runtime dependency closure — what installing the published package pulls in — 27 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.

43Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrapMakefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff])
0/11Static type checking
0/10Reproducible environment
2/10Demonstrated agent practice1 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance83 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_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.01
toolchain_manifests
dependency_bot_commit_share0.83
How it's scored
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/55 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes30,245
source_files_sampled55
oversized_source_files0

Key facts

1,356GitHub stars
41contributors
88commits, last 12 months
6days since last push
63releases
1bus factor
57open 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 ★ / 125 ⇿
0Stars
125Forks
63Releases

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.

025507510012512342021-092024-032026-08
Major 2Minor 11Patch 46

Each point covers 5 days.

OpenSSF Scorecard 8.4 / 10
8.4aggregate

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 · 2026-08-27 13:24 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests26 out of 26 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 32 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 9 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
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
8Signed-Releases1 out of the last 1 releases have a total of 1 signed artifacts.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 10
RegistryPackageVersion constraintManifest
PyPICacheControl>= 0.13.0pyproject.toml
PyPIcyclonedx-python-lib>= 5,< 12pyproject.toml
PyPIpackaging>=23.0.0pyproject.toml
PyPIpip-api>=0.0.28pyproject.toml
PyPIpip-requirements-parser>=32.0.0pyproject.toml
PyPIrequests>= 2.31.0pyproject.toml
PyPIrich>= 12.4pyproject.toml
PyPItomli>= 2.2.1pyproject.toml
PyPItomli-w>= 1.2.0pyproject.toml
PyPIplatformdirs>= 4.2.0pyproject.toml
All dependencies 14

Full resolved dependency set from the GitHub dependency graph: 10 direct and 4 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcachecontroldirect
PyPIcyclonedx-python-libdirect
PyPIpackagingdirect
PyPIpip-apidirect
PyPIpip-requirements-parserdirect
PyPIplatformdirsdirect
PyPIrequestsdirect
PyPIrichdirect
PyPItomlidirect
PyPItomli-wdirect
PyPIcoverageindirect
PyPIflit-coreindirect
PyPIinterrogateindirect
PyPIruffindirect
Dependency advisories 0

Installing pypi:pip_audit@2.10.1 pulls in 27 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.