Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-16 23:43 UTC

pypa / twine

Utilities for interacting with PyPI

PythonApache-2.0★ 1,781 stars⑂ 333 forkssince Aug 2013View on GitHub ↗

pypa/twine holds a health index of 90 out of 100, placing it in the Excellent band. It scores highest on Sustainability & Governance (87/100) and lowest on AI Readiness (44/100). It was last updated today. 3 contributors account for most of its recent work.

90
overall / 100
Excellent

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.

90
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 76 is calibrated to 90 on the published index scale (record calibration 2026-08-02).

Ownership

2,365 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
PyPItwine6.2.0-59315 days ago

Metrics by category

Vitality

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

68Good · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
13.8/36Commit cadence20/52 weeks with commits
14.8/18Commit volume44 commits in the last year
0/10OpenSSF Scorecard: Maintainedno data
Inputs used
commits_last_year44
human_commit_share
days_since_last_push0
active_weeks_last_year20
How it's scored
27/27Ships releases16 releases published
16.2/36Release recencylatest release 315 days ago
12.6/27Release cadencea release every ~139 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count16
latest_release_tag6.2.0
releases_from_tagsno
days_since_latest_release315
mean_days_between_releases139

Community & Adoption

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

83Excellent · 17% of overall
How it's scored
52.7/60Stars1,781 stars
21/25Forks333 forks
8.7/15Watchers37 watchers
Inputs used
forks333
stars1,781
watchers37
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_badges
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

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

87Excellent · 23% of overall
How it's scored
36/54Bus factor3 contributor(s) cover half of all commits
16.5/22.5Commit distributiontop contributor authored 26% of commits
13.5/13.5Contributor breadth100 contributors
0/10OpenSSF Scorecard: Contributorsno data
Inputs used
bus_factor3
contributors_sampled100
top_contributor_share0.265
How it's scored
38.6/42Issue resolution92% of issues closed
24.9/30PR acceptance622/749 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Reviewno data
Inputs used
merged_prs622
open_issues45
closed_issues508
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.919
closed_unmerged_prs127
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
24.3/25Owner reach2,365 followers of pypa
24.9/25Track record59 public repos, account ~15 yr old
Inputs used
followers2,365
owner_typeOrganization
is_verified
owner_loginpypa
public_repos59
account_age_days5,615
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
26/35Publish recencylatest publish 315 days ago
20/20Version history59 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagestwine
ecosystemspypi
any_deprecatedno
min_days_since_publish315

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter config.flake8, tox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://twine.readthedocs.io/
10/10Repository description
10/10Topics7 topics
0/10Wiki
Inputs used
topicspython, python3, wheel, python-wheel, pypi, pypi-package, pypi-upload
has_wikino
homepagehttps://twine.readthedocs.io/
docs_sitehttps://twine.readthedocs.io/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

60Moderate · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
25/25Dependabot config
0/25Dependency lockfilespublished library — lockfiles are an application concern, not expected
20/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles
manifestsdocs/requirements.txt, pyproject.toml
has_codeql_workflowyes
has_security_policyno
has_dependabot_configyes
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.

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.

44Weak · 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
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config.flake8, tox.ini
11/11Static type checkingmypy.ini, twine/py.typed
0/10Reproducible environment
0/10Demonstrated agent practiceno data
5/8Automated maintenancedependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependenciesno data
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configsmypy.ini, twine/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
27/45Type-checkable codePython with type-check config (mypy.ini, twine/py.typed)
55/55Manageable file sizes0/35 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes18,461
source_files_sampled35
oversized_source_files0

Key facts

1,781GitHub stars
100contributors
44commits, last 12 months
0days since last push
16releases
3bus factor
45open issues
PyPIpackage ecosystems

Data collection warnings

  • OpenSSF Scorecard did not return a usable result (Skipping github.com/pypa/twine: run: repo unreachable: GET https://api.github.com/repos/pypa/twine: 503 []); skipping Scorecard checks

More detail

Direct dependencies 9
RegistryPackageVersion constraintManifest
PyPIreadme-renderer>= 35.0pyproject.toml
PyPIrequests>= 2.20pyproject.toml
PyPIrequests-toolbelt>= 0.8.0, != 0.9.0pyproject.toml
PyPIurllib3>= 1.26.0pyproject.toml
PyPIkeyring>= 21.2.0pyproject.toml
PyPIrfc3986>= 1.4.0pyproject.toml
PyPIrich>= 14.3.3pyproject.toml
PyPIpackaging>= 26.1pyproject.toml
PyPIidpyproject.toml
All dependencies 15

Full resolved dependency set from the GitHub dependency graph: 9 direct and 6 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIiddirect
PyPIkeyringdirect
PyPIpackagingdirect
PyPIreadme-rendererdirect
PyPIrequestsdirect
PyPIrequests-toolbeltdirect
PyPIrfc3986direct
PyPIrichdirect
PyPIurllib3direct
PyPIdoc8indirect
PyPIfuroindirect
PyPIsetuptoolsindirect
PyPIsetuptools-scmindirect
PyPIsphinxindirect
PyPIsphinxcontrib-programoutputindirect
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.

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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 v0.11.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.