Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-17 00:01 UTC

pycqa / mccabe

McCabe complexity checker for Python

PythonCustom license★ 679 stars⑂ 64 forkssince Feb 2013View on GitHub ↗

pycqa/mccabe holds a health index of 51 out of 100, placing it in the Moderate band. It scores highest on Sustainability & Governance (70/100) and lowest on AI Readiness (32/100). It was last updated 18 days ago. A single contributor accounts for most of its recent work.

51
overall / 100
Moderate

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.

51
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 51 is calibrated to 51 on the published index scale (record calibration 2026-08-02).

Ownership

1,013 followers29 public repossince Sep 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImccabe0.7.0-121634 days agoflake8mccabe

Metrics by category

Vitality

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

34At Risk · 21% of overall
How it's scored
28.8/36Push recencylast push 18 days ago
0.7/36Commit cadence1/52 weeks with commits
4.3/18Commit volume2 commits in the last year
1/10OpenSSF Scorecard: Maintained2 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 1
Inputs used
commits_last_year2
human_commit_share
days_since_last_push18
active_weeks_last_year1
How it's scored
16.2/27Ships releases10 version tags (no GitHub releases)
0/36Release recencylatest release 1,634 days ago
12.6/27Release cadencea release every ~357.5 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count10
latest_release_tag0.7.0
releases_from_tagsyes
days_since_latest_release1,634
mean_days_between_releases357.5
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?

56Moderate · 17% of overall
How it's scored
45.9/60Stars679 stars
15/25Forks64 forks
6.4/15Watchers15 watchers
Inputs used
forks64
stars679
watchers15
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5Licenselicense file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

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

70Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
11.2/22.5Commit distributiontop contributor authored 50% of commits
13.5/13.5Contributor breadth21 contributors
10/10OpenSSF Scorecard: Contributorsproject has 27 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled21
top_contributor_share0.5
How it's scored
35/42Issue resolution83% of issues closed
20.8/30PR acceptance43/62 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
13.5/15OpenSSF Scorecard: Code-ReviewFound 12/13 approved changesets -- score normalized to 9
Inputs used
merged_prs43
open_issues9
closed_issues45
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.833
closed_unmerged_prs19
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
21.6/25Owner reach1,013 followers of PyCQA
22.8/25Track record29 public repos, account ~11 yr old
Inputs used
followers1,013
owner_typeOrganization
is_verified
owner_loginPyCQA
public_repos29
account_age_days4,325
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
4/35Publish recencylatest publish 1,634 days ago
20/20Version history12 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesmccabe
ecosystemspypi
any_deprecatedno
min_days_since_publish1,634

Engineering Quality

Are baseline engineering and documentation practices in place?

50Moderate · 19% of overall
How it's scored
0/24CI workflows
24/24Tests present
16/16Linter configtox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests0 out of 12 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_cino
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage sitepypi.python.org/pypi/mccabe
10/10Repository description
10/10Topics9 topics
0/10Wiki
Inputs used
topicspython, flake8, flake8-plugin, complexity, complexity-analysis, mccabe, linter-flake8, linter-plugin, flake8-extensions
has_wikino
homepagepypi.python.org/pypi/mccabe
docs_sitepypi.python.org/pypi/mccabe
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

46Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
0/2.5CI-Tests0 out of 12 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6.8/7.5Code-ReviewFound 12/13 approved changesets -- score normalized to 9
2.5/2.5Contributorsproject has 27 contributing companies or organizations
0/10Dangerous-Workflowno data
0/7.5Dependency-Update-Toolno update tool detected
5/5Fuzzingproject is fuzzed
2.2/2.5Licenselicense file detected
0.8/7.5Maintained2 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 1
0/5Packagingno data
0/5Pinned-Dependenciesno data
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsno data
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated13
scorecard_versionv5.5.0
checks_inconclusive5
scorecard_aggregate4.6
Excluded from scoring (no data or not applicable): Dangerous-Workflow, Packaging, Pinned-Dependencies, Signed-Releases, Token-Permissions. 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.

32At Risk · 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 configtox.ini
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practiceno data
0/8Automated maintenanceno data
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_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance, OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.
How it's scored
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/3 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes10,717
source_files_sampled3
oversized_source_files0

Key facts

679GitHub stars
21contributors
2commits, last 12 months
18days since last push
10releases
1bus factor
9open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 4.6 / 10
4.6aggregate

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 · 2026-07-17 00:01 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
0CI-Tests0 out of 12 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 12/13 approved changesets -- score normalized to 9
10Contributorsproject has 27 contributing companies or organizations
n/aDangerous-Workflowno workflows found
0Dependency-Update-Toolno update tool detected
10Fuzzingproject is fuzzed
9Licenselicense file detected
1Maintained2 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 1
n/aPackagingpackaging workflow not detected
n/aPinned-Dependenciesno dependencies found
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
n/aToken-PermissionsNo tokens found
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 0

Full resolved dependency set from the GitHub dependency graph: 0 direct and 0 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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 v0.11.0 — full methodology · metrics wiki.

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