Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 15:29 UTC

mkdocstrings / python

A Python handler for mkdocstrings.

HTML · Jinja · PythonISC★ 279 stars⑂ 52 forkssince Oct 2021View on GitHub ↗

mkdocstrings/python holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Vitality (79/100) and lowest on Security (53/100). It was last updated 9 days ago. A single contributor accounts for most of its recent work.

84
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.

84
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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

mkdocstringsOrganization
65 followers29 public repossince Dec 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPImkdocstrings-python2.0.712,169,1291039 days ago

Metrics by category

Vitality

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

79Good · 21% of overall
How it's scored
28.8/36Push recencylast push 9 days ago
10.4/36Commit cadence15/52 weeks with commits
15.8/18Commit volume57 commits in the last year
10/10OpenSSF Scorecard: Maintained15 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year57
human_commit_share0.96
days_since_last_push9
active_weeks_last_year15

Release discipline

100Exceptional
How it's scored
27/27Ships releases72 releases published
36/36Release recencylatest release 9 days ago
27/27Release cadencea release every ~39.3 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count72
latest_release_tag2.0.7
releases_from_tagsno
days_since_latest_release9
mean_days_between_releases39.3
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?

79Good · 17% of overall
How it's scored
39.6/60Stars279 stars
14.2/25Forks52 forks
0/15Watchers2 watchers
Inputs used
forks52
stars279
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (ISC)
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_badges4
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes
How it's scored
80/80Monthly downloads12,169,129 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesmkdocstrings-python
dependents
ecosystemspypi
total_downloads
monthly_downloads12,169,129
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?

65Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
1.7/22.5Commit distributiontop contributor authored 92% of commits
13.5/13.5Contributor breadth30 contributors
10/10OpenSSF Scorecard: Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled30
top_contributor_share0.923
How it's scored
40.4/42Issue resolution96% of issues closed
24.8/30PR acceptance62/75 decided PRs merged
8.7/13Newcomer PR acceptance2/3 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 2/27 approved changesets -- score normalized to 0
Inputs used
merged_prs62
open_issues8
closed_issues206
prs_merged_7d0
prs_decided_7d0
prs_merged_30d2
prs_decided_30d3
issue_closed_ratio0.963
closed_unmerged_prs13
first_time_authors_30d2
first_time_prs_merged_30d2
first_time_prs_decided_30d3
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domain
13.1/25Owner reach65 followers of mkdocstrings
22.2/25Track record29 public repos, account ~5 yr old
Inputs used
followers65
owner_typeOrganization
is_verifiedno
owner_loginmkdocstrings
public_repos29
account_age_days2,088

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 9 days ago
20/20Version history103 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesmkdocstrings-python
ecosystemspypi
any_deprecatedno
min_days_since_publish9

Engineering Quality

Are baseline engineering and documentation practices in place?

77Good · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter configruff.toml
0/9.6Pre-commit hooks
0/6.4.editorconfig
4/20OpenSSF Scorecard: CI-Tests1 out of 5 merged PRs checked by a CI test -- score normalized to 2
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://mkdocstrings.github.io/python
10/10Repository description
10/10Topics7 topics
0/10Wiki
Inputs used
topicspython, mkdocstrings-handler, mkdocstrings, mkdocs, autodoc, documentation, python-documentation
has_wikino
homepagehttps://mkdocstrings.github.io/python
docs_sitehttps://mkdocstrings.github.io/python
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

53Moderate · 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
0.5/2.5CI-Tests1 out of 5 merged PRs checked by a CI test -- score normalized to 2
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 2/27 approved changesets -- score normalized to 0
2.5/2.5Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained15 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
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-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.1
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages20
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:mkdocstrings-python@2.0.7 runtime dependency closure — what installing the published package pulls in — 20 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.

63Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt)llms.txt served by the project website (https://mkdocstrings.github.io/python/llms.txt)
40/40Legible commit history92 of 96 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://mkdocstrings.github.io/python/llms.txt
legible_history_share0.958
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapMakefile
22/22Automated tests
11/11Lint / format configruff.toml
11/11Static type checkingconfig/mypy.ini, src/mkdocstrings_handlers/python/py.typed
0/10Reproducible environment
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configsconfig/mypy.ini, src/mkdocstrings_handlers/python/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codeHTML with type-check config (config/mypy.ini, src/mkdocstrings_handlers/python/py.typed)
55/55Manageable file sizes0/25 source files over 60KB
Inputs used
primary_languageHTML
largest_source_bytes35,261
source_files_sampled25
oversized_source_files0

Key facts

279GitHub stars
30contributors
57commits, last 12 months
9days since last push
72releases
1bus factor
8open 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 ★ / 52 ⇿
0Stars
52Forks
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.

01020304050605222022-032024-052026-08
Major 1Minor 18Patch 51

Each point covers 5 days.

OpenSSF Scorecard 4.1 / 10
4.1aggregate

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 · 2026-08-27 15:29 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
2CI-Tests1 out of 5 merged PRs checked by a CI test -- score normalized to 2
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 2/27 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained15 commit(s) and 5 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
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPImkdocstrings>=0.30pyproject.toml
PyPImkdocs-autorefs>=1.4pyproject.toml
PyPIgriffelib>=2.0pyproject.toml
PyPItyping-extensions>=4.0pyproject.toml
All dependencies 31

Full resolved dependency set from the GitHub dependency graph: 3 direct and 28 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIgriffelibdirect
PyPImkdocs-autorefsdirect
PyPImkdocstringsdirect
PyPIbeautifulsoup4indirect
PyPIblackindirect
PyPIbuildindirect
PyPIdutyindirect
PyPIgit-changelogindirect
PyPIgriffeindirect
PyPIinline-snapshotindirect
PyPImarkdown-calloutsindirect
PyPImarkdown-execindirect
PyPImkdocsindirect
PyPImkdocs-coverageindirect
PyPImkdocs-git-revision-date-localized-pluginindirect
PyPImkdocs-llmstxtindirect
PyPImkdocs-materialindirect
PyPImkdocs-minify-pluginindirect
PyPImkdocs-redirectsindirect
PyPImkdocs-section-indexindirect
PyPImypyindirect
PyPIpydanticindirect
PyPIpytestindirect
PyPIpytest-covindirect
PyPIpytest-randomlyindirect
PyPIpytest-xdistindirect
PyPIruffindirect
PyPItwineindirect
PyPItypes-markdownindirect
PyPItypes-pyyamlindirect
PyPIyoreindirect
Dependency advisories 0

Installing pypi:mkdocstrings-python@2.0.7 pulls in 20 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 statisticsPyPI.