Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-22 12:27 UTC

pylint-dev / pylint

It's not just a linter that annoys you!

PythonGPL-2.0★ 5,725 stars⑂ 1,341 forkssince Dec 2015View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

pylint-dev/pylint holds a health index of 98 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on Sustainability & Governance (77/100). It was last updated today. 3 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

pylint-devOrganization
60 followers11 public repossince Dec 2022

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpylint4.0.838,295,09620424 days agolintlinterpythonstatic-code-analysis

Metrics by category

Vitality

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

99Exceptional · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
35.3/36Commit cadence — 51/52 weeks with commits
18/18Commit volume — 518 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year518
human_commit_share0.84
days_since_last_push0
active_weeks_last_year51

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 24 days ago
27/27Release cadence — a release every ~36.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv4.0.8
releases_from_tagsno
days_since_latest_release24
mean_days_between_releases36.4

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 — 5,725 stars
25/25Forks — 1,341 forks
10.3/15Watchers — 73 watchers
Inputs used
forks1,341
stars5,725
watchers73
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 (GPL-2.0)
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_badges9
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbestpractices.coreinfrastructure.org, codecov.io, github.com, readthedocs.org, shields.io
has_pull_request_templateyes
How it's scored
80/80Monthly downloads — 38,295,096 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespylint
dependents—
ecosystemspypi
total_downloads—
monthly_downloads38,295,096
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?

77Good · 23% of overall
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
16.6/22.5Commit distribution — top contributor authored 26% of commits
13.5/13.5Contributor breadth — 96 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor3
contributors_sampled96
top_contributor_share0.263
How it's scored
35.4/42Issue resolution — 84% of issues closed
26.6/30PR acceptance — 4,694/5,295 decided PRs merged
7.4/13Newcomer PR acceptance — 4/7 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs4,694
open_issues941
closed_issues5,075
prs_merged_7d1
prs_decided_7d1
prs_merged_30d15
prs_decided_30d36
issue_closed_ratio0.844
closed_unmerged_prs601
first_time_authors_30d5
first_time_prs_merged_30d4
first_time_prs_decided_30d7
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
12.8/25Owner reach — 60 followers of pylint-dev
15.3/25Track record — 11 public repos, account ~3 yr old
Inputs used
followers60
owner_typeOrganization
is_verifiedno
owner_loginpylint-dev
public_repos11
account_age_days1,361

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 24 days ago
20/20Version history — 204 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespylint
ecosystemspypi
any_deprecatedno
min_days_since_publish24

Engineering Quality

Are baseline engineering and documentation practices in place?

91Excellent · 19% of overall
How it's scored
24/24CI workflows — 15 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff], [tool.isort]), ruff.toml, tox.ini
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
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://pylint.readthedocs.io/en/latest/
10/10Repository description
10/10Topics — 7 topics
0/10Wiki
Inputs used
topicsstatic-analysis, linter, static-code-analysis, code-quality, pep8, closember, hacktoberfest
has_wikino
homepagehttps://pylint.readthedocs.io/en/latest/
docs_sitehttps://pylint.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?

80Excellent · 16% of overall
How it's scored
30/30Security policy (SECURITY.md)
25/25Dependabot config
0/25Dependency lockfiles
20/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestsdoc/requirements.txt, examples/pyproject.toml, pyproject.toml, requirements_test.txt, requirements_test_min.txt, requirements_test_pre_commit.txt
has_codeql_workflowyes
has_security_policyyes
has_dependabot_configyes

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:pylint@4.0.8 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.

92Excellent · 4% of overall
How it's scored
45/45Agent instructions — .github/copilot-instructions.md, AGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 75 of 84 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.893
agent_instruction_files.github/copilot-instructions.md, AGENTS.md
agent_instruction_max_bytes9,807
How it's scored
18/18One-command bootstrap — doc/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff], [tool.isort]), ruff.toml, tox.ini
11/11Static type checking — pylint/py.typed
10/10Reproducible environment — Dockerfile
8/10Demonstrated agent practice — 4 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 6 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_filesdoc/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configspylint/py.typed
agent_commit_share0.04
toolchain_manifests—
dependency_bot_commit_share0.06
How it's scored
27/45Type-checkable code — Python with type-check config (pylint/py.typed)
54.9/55Manageable file sizes — 6/2,469 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes141,660
source_files_sampled2,469
oversized_source_files6
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

5,725GitHub stars
96contributors
518commits, last 12 months
0days since last push
100releases
3bus factor
941open 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 16 authors (cap 12)
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 0 ★ / 1,341 ⇿
0Stars
1,341Forks
100Releases

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.

2004006008001,0001,2001,4001,341122019-012022-112026-09
Major 2Minor 12Patch 77

Each point covers 8 days.

Direct dependencies 12
RegistryPackageVersion constraintManifest
PyPIastroid>=4.3.1,<=4.4pyproject.toml
PyPIcolorama>=0.4.5pyproject.toml
PyPIdill@ git+https://github.com/uqfoundation/dill@2308ffb0d0c605b9c050fa4c9fd5793d65c67022pyproject.toml
PyPIdill>=0.2pyproject.toml
PyPIdill>=0.3.6pyproject.toml
PyPIdill>=0.3.7pyproject.toml
PyPIisort>=5,!=5.13,<10pyproject.toml
PyPImccabe>=0.6,<0.8pyproject.toml
PyPIplatformdirs>=2.2pyproject.toml
PyPItomli>=1.1pyproject.toml
PyPItomlkit>=0.10.1pyproject.toml
PyPItyping-extensions>=3.10pyproject.toml
All dependencies 35

Full resolved dependency set from the GitHub dependency graph: 8 direct and 27 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIastroid4.3.1direct
PyPIcolorama—direct
PyPIdill—direct
PyPIisort—direct
PyPImccabe—direct
PyPIplatformdirs—direct
PyPItomlkit—direct
PyPItyping-extensions—direct
PyPIbandit—indirect
PyPIblack—indirect
PyPIcontributors-txt—indirect
PyPIcoverage—indirect
PyPIflake8—indirect
PyPIflake8-typing-imports—indirect
PyPIfuro2025.12.19indirect
PyPIgitpython—indirect
PyPImypy—indirect
PyPIpre-commit—indirect
PyPIpy—indirect
PyPIpyenchant—indirect
PyPIpyright—indirect
PyPIpytest—indirect
PyPIpytest-benchmark—indirect
PyPIpytest-cov—indirect
PyPIpytest-timeout—indirect
PyPIpytest-xdist—indirect
PyPIrequests—indirect
PyPIruff—indirect
PyPIsetuptools—indirect
PyPIsix—indirect
PyPIsphinx8.2.3indirect
PyPIsphinx-reredirects—indirect
PyPItbump—indirect
PyPItowncrier—indirect
PyPItox—indirect
Dependency advisories 0

Installing pypi:pylint@4.0.8 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.