Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 20:01 UTC

wemake-services / wemake-python-styleguide

The strictest and most opinionated python linter ever!

PythonMIT★ 2,905 stars⑂ 430 forkssince Mar 2018View on GitHub ↗
KindCommand-line toolPluginLibraryMCP serverhow this is determined
#python#python3#flake8#flake8-plugin#styleguide#wemake-services#code-quality#linter#wemake#hacktoberfest

wemake-services/wemake-python-styleguide holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Vitality (96/100) and lowest on Sustainability & Governance (71/100). It was last updated 4 days ago. A single contributor accounts for most of its recent work.

96
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.

96
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).

Ownership

wemake.servicesOrganization
397 followers54 public repossince May 2016

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIwemake-python-styleguide1.8.1321,851725 days agocode-qualityflake8flake8-formatterflake8-pluginlinterpycqastyleguidewemake.services

Metrics by category

Vitality

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

96Exceptional · 21% of overall

Development activity

99Exceptional
How it's scored
36/36Push recency — last push 4 days ago
34.6/36Commit cadence — 50/52 weeks with commits
18/18Commit volume — 239 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year239
human_commit_share0.54
days_since_last_push4
active_weeks_last_year50

Release discipline

92Excellent
How it's scored
27/27Ships releases — 71 releases published
36/36Release recency — latest release 5 days ago
19.8/27Release cadence — a release every ~47.3 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count71
latest_release_tag1.8.1
releases_from_tagsno
days_since_latest_release5
mean_days_between_releases47.3
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?

84Excellent · 17% of overall

Popularity & adoption

86Excellent
How it's scored
56.2/60Stars — 2,905 stars
21.9/25Forks — 430 forks
7.9/15Watchers — 27 watchers
Inputs used
forks430
stars2,905
watchers27
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

77Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges10
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, github.com, opencollective.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

92Excellent
How it's scored
73.4/80Monthly downloads — 321,851 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageswemake-python-styleguide
dependents—
ecosystemspypi
total_downloads—
monthly_downloads321,851
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?

71Good · 23% of overall

Maintainer resilience (bus factor)

38Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
5.8/22.5Commit distribution — top contributor authored 74% of commits
13.5/13.5Contributor breadth — 95 contributors
10/10OpenSSF Scorecard: Contributors — project has 31 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled95
top_contributor_share0.741

Issue & PR responsiveness

87Excellent
How it's scored
41.6/42Issue resolution — 99% of issues closed
25.7/30PR acceptance — 2,232/2,602 decided PRs merged
10.4/13Newcomer PR acceptance — 8/10 first-time contributors' PRs merged in 30d
9/15OpenSSF Scorecard: Code-Review — Found 9/15 approved changesets -- score normalized to 6
Inputs used
merged_prs2,232
open_issues12
closed_issues1,191
prs_merged_7d3
prs_decided_7d3
prs_merged_30d17
prs_decided_30d22
issue_closed_ratio0.99
closed_unmerged_prs370
first_time_authors_30d7
first_time_prs_merged_30d8
first_time_prs_decided_30d10

Ownership & stewardship

73Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
18.7/25Owner reach — 397 followers of wemake-services
24.7/25Track record — 54 public repos, account ~10 yr old
Inputs used
followers397
owner_typeOrganization
is_verifiedno
owner_loginwemake-services
public_repos54
account_age_days3,762

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 5 days ago
20/20Version history — 72 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageswemake-python-styleguide
ecosystemspypi
any_deprecatedno
min_days_since_publish5

Engineering Quality

Are baseline engineering and documentation practices in place?

95Exceptional · 19% of overall

Engineering practices

98Exceptional
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff]), setup.cfg ([flake8])
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 28 out of 29 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://wemake-python-styleguide.rtfd.io
10/10Repository description
10/10Topics — 10 topics
0/10Wiki
Inputs used
topicspython, python3, flake8, flake8-plugin, styleguide, wemake-services, code-quality, linter, wemake, hacktoberfest
has_wikino
homepagehttps://wemake-python-styleguide.rtfd.io
docs_sitehttps://wemake-python-styleguide.rtfd.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

75Good · 16% of overall

Security posture

69Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.2/2.5CI-Tests — 28 out of 29 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
4.5/7.5Code-Review — Found 9/15 approved changesets -- score normalized to 6
2.5/2.5Contributors — project has 31 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 25 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate6.9
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, 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
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_packages6
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:wemake-python-styleguide@1.8.1 runtime dependency closure — what installing the published package pulls in — 6 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.

78Good · 4% of overall

Agent context & guidance

55Moderate
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://wemake-python-styleguide.rtfd.io/llms.txt)
40/40Legible commit history — 47 of 54 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://wemake-python-styleguide.rtfd.io/llms.txt
legible_history_share0.87
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

86Excellent
How it's scored
18/18One-command bootstrap — Makefile, docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff]), setup.cfg ([flake8])
11/11Static type checking — wemake_python_styleguide/py.typed
10/10Reproducible environment — Dockerfile, lockfile
6/10Demonstrated agent practice — 3 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 37 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configswemake_python_styleguide/py.typed
agent_commit_share0.03
toolchain_manifests—
dependency_bot_commit_share0.37

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (wemake_python_styleguide/py.typed)
54.7/55Manageable file sizes — 2/416 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes76,189
source_files_sampled416
oversized_source_files2

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
40/40Runnable examples — notebooks
Inputs used
example_dirsnotebooks
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

2,905GitHub stars
95contributors
239commits, last 12 months
4days since last push
71releases
1bus factor
12open 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 13 authors (cap 12)

More detail

Star and fork history 0 ★ / 430 ⇿
0Stars
430Forks
70Releases

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.

0100200300400500429122018-062022-072026-09
Major 1Minor 27Patch 42

Each point covers 8 days.

OpenSSF Scorecard 6.9 / 10
6.9aggregate

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 · 2026-09-17 20:00 UTC

10Binary-Artifactsno binaries found in the repo
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
9CI-Tests28 out of 29 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 9/15 approved changesets -- score normalized to 6
10Contributorsproject has 31 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 25 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIattrs*pyproject.toml
PyPIflake8^7.3pyproject.toml
PyPImcp^2.0pyproject.toml
PyPIpygments^2.19pyproject.toml
All dependencies 129

Full resolved dependency set from the GitHub dependency graph: 4 direct and 125 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIattrs26.1.0direct
PyPIflake87.3.0direct
PyPImcp2.2.0direct
PyPIpygments2.21.0direct
PyPIaccessible-pygments0.0.5indirect
PyPIadded-value0.24.0indirect
PyPIalabaster1.0.0indirect
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.15.1indirect
PyPIast-serialize0.11.1indirect
PyPIastpath0.9.1indirect
PyPIasttokens3.0.2indirect
PyPIautopep82.3.2indirect
PyPIbabel2.18.0indirect
PyPIbeautifulsoup44.15.0indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcharset-normalizer3.5.1indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcovdefaults2.3.0indirect
PyPIcoverage7.16.0indirect
PyPIcryptography50.0.1indirect
PyPIdecorator5.3.1indirect
PyPIdocutils0.21.2indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIexecuting2.2.1indirect
PyPIfuro2025.12.19indirect
PyPIgrimp3.17indirect
PyPIh110.16.0indirect
PyPIhttpcore22.12.0indirect
PyPIhttpx22.12.0indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIhypothesis6.168.0indirect
PyPIhypothesmith0.3.3indirect
PyPIidna3.19indirect
PyPIimagesize2.0.1indirect
PyPIimport-linter2.15indirect
PyPIiniconfig2.3.0indirect
PyPIipython8.39.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIjedi0.20.0indirect
PyPIjinja23.1.6indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIlark1.3.1indirect
PyPIles-iterables1.15.0indirect
PyPIlibcst1.9.0indirect
PyPIlibrt0.15.0indirect
PyPIlxml6.1.3indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.2.2indirect
PyPImccabe0.7.0indirect
PyPImcp-types2.2.0indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.1.0indirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPImyst-parser4.0.1indirect
PyPInatsort8.4.0indirect
PyPInbqa1.9.1indirect
PyPIopentelemetry-api1.44.0indirect
PyPIpackaging26.3indirect
PyPIparso0.8.7indirect
PyPIpathspec1.1.1indirect
PyPIpexpect4.9.0indirect
PyPIpluggy1.6.0indirect
PyPIprompt-toolkit3.0.53indirect
PyPIpsutil7.2.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.4indirect
PyPIpycodestyle2.14.0indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.5indirect
PyPIpydantic-core2.46.5indirect
PyPIpyflakes3.4.0indirect
PyPIpyjwt2.14.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-randomly5.0.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dotenv1.2.3indirect
PyPIpython-multipart0.0.32indirect
PyPIpywin32312indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-ft8.0.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIrich15.0.0indirect
PyPIroman-numerals4.1.0indirect
PyPIroman-numerals-py4.1.0indirect
PyPIrpds-py0.30.0indirect
PyPIruff0.16.7indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoupsieve2.9.2indirect
PyPIsphinx8.1.3indirect
PyPIsphinx-autodoc-typehints3.0.1indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinx-llms-txt0.7.1indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-mermaid2.1.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsse-starlette3.4.11indirect
PyPIstack-data0.6.3indirect
PyPIstarlette1.6.0indirect
PyPIsyrupy6.0.0indirect
PyPItokenize-rt6.2.0indirect
PyPItomli2.4.1indirect
PyPItraitlets5.16.1indirect
PyPItruststore0.10.4indirect
PyPItyper0.27.2indirect
PyPItypes-flake87.3.0.20260508indirect
PyPItypes-pyflakes3.4.0.20260724indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.52.4indirect
PyPIwcwidth0.8.3indirect
Dependency advisories 0

Installing pypi:wemake-python-styleguide@1.8.1 pulls in 6 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

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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 v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.