Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-28 02:26 UTC

jazzband / pip-tools

A set of tools to keep your pinned Python dependencies fresh.

PythonBSD-3-Clause★ 8,008 stars⑂ 672 forkssince Sep 2012View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

jazzband/pip-tools holds a health index of 34 out of 100, placing it in the At Risk band. It scores highest on Community & Adoption (95/100) and lowest on Security (47/100). It was last updated 5 days ago. 4 contributors account for most of its recent work.

34
overall / 100
At Risk

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.

34
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 84 is calibrated to 96 on the published index scale (record calibration 2026-08-02). High-Risk Jurisdiction Policy applies a 75% multiplier to weighted overall health and gives it an At Risk ceiling of 34.

Ownership

JazzbandOrganization · verified domain
2,277 followers76 public repossince Oct 2015

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpip-tools7.6.116,629,57112516 days agopiprequirementspackaging

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 5 days ago
31.8/36Commit cadence — 46/52 weeks with commits
18/18Commit volume — 446 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year446
human_commit_share0.95
days_since_last_push5
active_weeks_last_year46
How it's scored
27/27Ships releases — 75 releases published
36/36Release recency — latest release 16 days ago
12.6/27Release cadence — a release every ~122.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count75
latest_release_tagv7.6.1
releases_from_tagsno
days_since_latest_release16
mean_days_between_releases122.8
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?

95Exceptional · 17% of overall
How it's scored
60/60Stars — 8,008 stars
23.6/25Forks — 672 forks
10.9/15Watchers — 94 watchers
Inputs used
forks672
stars8,008
watchers94
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 (BSD-3-Clause)
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
How it's scored
80/80Monthly downloads — 16,629,571 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespip-tools
dependents—
ecosystemspypi
total_downloads—
monthly_downloads16,629,571
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?

90Excellent · 23% of overall
How it's scored
43.2/54Bus factor — 4 contributor(s) cover half of all commits
18/22.5Commit distribution — top contributor authored 20% of commits
13.5/13.5Contributor breadth — 98 contributors
10/10OpenSSF Scorecard: Contributors — project has 130 contributing companies or organizations
Inputs used
bus_factor4
contributors_sampled98
top_contributor_share0.2
How it's scored
36.7/42Issue resolution — 87% of issues closed
24/30PR acceptance — 986/1,235 decided PRs merged
1.6/13Newcomer PR acceptance — 1/8 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs986
open_issues146
closed_issues1,010
prs_merged_7d3
prs_decided_7d3
prs_merged_30d16
prs_decided_30d26
issue_closed_ratio0.874
closed_unmerged_prs249
first_time_authors_30d6
first_time_prs_merged_30d1
first_time_prs_decided_30d8
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
24.1/25Owner reach — 2,277 followers of jazzband
25/25Track record — 76 public repos, account ~10 yr old
Inputs used
followers2,277
owner_typeOrganization
is_verifiedyes
owner_loginjazzband
public_repos76
account_age_days3,970

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 16 days ago
20/20Version history — 125 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespip-tools
ecosystemspypi
any_deprecatedno
min_days_since_publish16

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — .flake8, pyproject.toml ([tool.isort]), tox.ini
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 9 out of 9 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-tools.rtfd.io
10/10Repository description
10/10Topics — 9 topics
0/10Wiki
Inputs used
topicspython, packaging, pip, pip-tools, pip-compile, setuptools, requirements, lockfile, hashes
has_wikino
homepagehttps://pip-tools.rtfd.io
docs_sitehttps://pip-tools.rtfd.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

47Weak · 16% of overall
How it's scored
0/7.5Binary-Artifacts — binaries present in source code
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 9 out of 9 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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 130 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 18 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
5/5SAST — SAST tool is run on all commits
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_aggregate7.3
high_risk_jurisdiction_cap34
high_risk_jurisdiction_multiplier75
security_posture_after_multiplier55
security_posture_before_jurisdiction73
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized. High-Risk Jurisdiction Policy applies a 75% multiplier and gives Security posture an At risk ceiling of 34.

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_packages7
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-tools@7.6.1 runtime dependency closure — what installing the published package pulls in — 7 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.

67Good · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://tox.readthedocs.io/llms.txt)
40/40Legible commit history — 76 of 95 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://tox.readthedocs.io/llms.txt
legible_history_share0.8
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .flake8, pyproject.toml ([tool.isort]), tox.ini
11/11Static type checking — piptools/py.typed
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 2 of the last 100 commits are automated dependency updates
7/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configspiptools/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.02
How it's scored
27/45Type-checkable code — Python with type-check config (piptools/py.typed)
54.2/55Manageable file sizes — 1/71 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes136,420
source_files_sampled71
oversized_source_files1
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

8,008GitHub stars
98contributors
446commits, last 12 months
5days since last push
75releases
4bus factor
146open 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 ★ / 672 ⇿
0Stars
672Forks
75Releases

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.

012525037550062560592012-092019-092026-08
Major 6Minor 42Patch 27

Each point covers 13 days.

OpenSSF Scorecard 7.3 / 10
7.3aggregate

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 02:25 UTC

0Binary-Artifactsbinaries present in source code
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-Tests9 out of 9 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 130 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 18 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 8
RegistryPackageVersion constraintManifest
PyPIbuild>= 1.0.0pyproject.toml
PyPIclick>= 8pyproject.toml
PyPIpip>= 22.2pyproject.toml
PyPIpyproject_hooks—pyproject.toml
PyPItyping_extensions>= 4.6.0pyproject.toml
PyPItomli—pyproject.toml
PyPIsetuptools—pyproject.toml
PyPIwheel—pyproject.toml
All dependencies 92

Full resolved dependency set from the GitHub dependency graph: 11 direct and 81 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbuild—direct
PyPIbuild1.5.0direct
PyPIclick—direct
PyPIclick8.3.1direct
PyPIpip—direct
PyPIpip26.1.1direct
PyPIpyproject-hooks1.2.0direct
PyPIsetuptools—direct
PyPIsetuptools83.0.0direct
PyPItyping-extensions4.15.0direct
PyPIwheel0.47.0direct
PyPIaccessible-pygments0.0.5indirect
PyPIalabaster1.0.0indirect
PyPIbabel2.18.0indirect
PyPIbeautifulsoup44.14.3indirect
PyPIboltons25.0.0indirect
PyPIbracex2.6indirect
PyPIcertifi2026.1.4indirect
PyPIcharset-normalizer3.4.4indirect
PyPIclick-extra7.5.3indirect
PyPIcloup3.0.8indirect
PyPIcolorama—indirect
PyPIcornice—indirect
PyPIdeepmerge2.0indirect
PyPIdistro1.9.0indirect
PyPIdjango—indirect
PyPIdjango-debug-toolbar—indirect
PyPIdocutils0.22.4indirect
PyPIenum34—indirect
PyPIextra-platforms8.0.0indirect
PyPIfake-direct-runtime-dep—indirect
PyPIflask—indirect
PyPIflit-core—indirect
PyPIfuro2025.12.19indirect
PyPIhypothesis—indirect
PyPIidna3.16indirect
PyPIimagesize1.4.1indirect
PyPIipaddress—indirect
PyPIjinja23.1.6indirect
PyPIjsonschema—indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdit-py-plugins0.5.0indirect
PyPImdurl0.1.2indirect
PyPImyst-parser5.0.0indirect
PyPIpackaging26.0indirect
PyPIpbr7.0.3indirect
PyPIpoetry-core—indirect
PyPIpygments2.20.0indirect
PyPIpygments-ansi-color0.3.0indirect
PyPIpyramid—indirect
PyPIpytest—indirect
PyPIpytest-mock—indirect
PyPIpython-dateutil—indirect
PyPIpython-levenshtein—indirect
PyPIpython-memcached—indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq—indirect
PyPIrequests2.33.0indirect
PyPIroman-numerals4.1.0indirect
PyPIsentry—indirect
PyPIsetuptools-scm—indirect
PyPIsetuptools-scm9.2.2indirect
PyPIsimplejson—indirect
PyPIsix—indirect
PyPIsmall-fake-a—indirect
PyPIsmall-fake-a0.1indirect
PyPIsmall-fake-b—indirect
PyPIsmall-fake-b0.1indirect
PyPIsmall-fake-with-unpinned-deps—indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsoupsieve2.8.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinx-design0.7.0indirect
PyPIsphinx-issues5.0.1indirect
PyPIsphinxcontrib-apidoc0.6.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-programoutput0.18indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsphinxcontrib-towncrier0.5.0a0indirect
PyPIsqlalchemy—indirect
PyPItabulate0.9.0indirect
PyPItowncrier25.8.0indirect
PyPIurllib32.7.0indirect
PyPIwcmatch10.1indirect
PyPIwcwidth0.5.3indirect
PyPIxmltodict—indirect
Dependency advisories 0

Installing pypi:pip-tools@7.6.1 pulls in 7 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.