Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-17 00:23 UTC

pydata / pydata-sphinx-theme

A clean, three-column Sphinx theme with Bootstrap for the PyData community

Python · SCSS · JavaScriptBSD-3-Clause★ 771 stars⑂ 387 forkssince Apr 2018View on GitHub ↗

pydata/pydata-sphinx-theme holds a health index of 97 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (96/100) and lowest on AI Readiness (57/100). It was last updated 4 days ago. 4 contributors account for most of its recent work.

97
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.

97
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 85 is calibrated to 97 on the published index scale (record calibration 2026-08-02).

Ownership

Python for DataOrganization
743 followers29 public repossince Dec 2011

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIpydata-sphinx-theme0.20.0-687 days ago

Metrics by category

Vitality

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

88Excellent · 21% of overall
How it's scored
36/36Push recencylast push 4 days ago
20.8/36Commit cadence30/52 weeks with commits
18/18Commit volume144 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year144
human_commit_share
days_since_last_push4
active_weeks_last_year30
How it's scored
27/27Ships releases72 releases published
36/36Release recencylatest release 7 days ago
19.8/27Release cadencea release every ~63.2 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count72
latest_release_tagv0.20.0
releases_from_tagsno
days_since_latest_release7
mean_days_between_releases63.2
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?

73Good · 17% of overall
How it's scored
46.8/60Stars771 stars
21.6/25Forks387 forks
6.8/15Watchers18 watchers
Inputs used
forks387
stars771
watchers18
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (BSD-3-Clause)
18/18CONTRIBUTING guide
0/13.5Code 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_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?

91Excellent · 23% of overall
How it's scored
43.2/54Bus factor4 contributor(s) cover half of all commits
18.8/22.5Commit distributiontop contributor authored 16% of commits
13.5/13.5Contributor breadth100 contributors
10/10OpenSSF Scorecard: Contributorsproject has 111 contributing companies or organizations
Inputs used
bus_factor4
contributors_sampled100
top_contributor_share0.165
How it's scored
36.7/42Issue resolution87% of issues closed
26/30PR acceptance1,147/1,324 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs1,147
open_issues133
closed_issues913
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.873
closed_unmerged_prs177
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
20.6/25Owner reach743 followers of pydata
22.8/25Track record29 public repos, account ~14 yr old
Inputs used
followers743
owner_typeOrganization
is_verified
owner_loginpydata
public_repos29
account_age_days5,318
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 7 days ago
20/20Version history68 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagespydata-sphinx-theme
ecosystemspypi
any_deprecatedno
min_days_since_publish7

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows7 workflow(s)
24/24Tests present
16/16Linter configtox.ini
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://pydata-sphinx-theme.readthedocs.io
10/10Repository description
10/10Topics6 topics
10/10Wiki
Inputs used
topicssphinx, sphinx-doc, sphinx-theme, python, pydata, hacktoberfest
has_wikiyes
homepagehttps://pydata-sphinx-theme.readthedocs.io
docs_sitehttps://pydata-sphinx-theme.readthedocs.io
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

Security posture

80Excellent
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
3/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Reviewall changesets reviewed
2.5/2.5Contributorsproject has 111 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
4.5/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
5/5SASTSAST tool is run on all commits
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
7.5/7.5Token-PermissionsGitHub workflow tokens follow principle of least privilege
5.2/7.5Vulnerabilities3 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate8
Excluded from scoring (no data or not applicable): Signed-Releases. 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.

57Moderate · 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
18/18One-command bootstraptests/sites/base/Makefile, tests/sites/breadcrumbs/Makefile, tests/sites/deprecated/Makefile, tests/sites/version_switcher/Makefile
22/22Automated tests
11/11Lint / format configtox.ini
0/11Static type checking
10/10Reproducible environmentdevcontainer, lockfile
0/10Demonstrated agent practiceno data
5/8Automated maintenancedependency automation configured, none observed in the sampled commits
9/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileno
typed_languageno
bootstrap_filestests/sites/base/Makefile, tests/sites/breadcrumbs/Makefile, tests/sites/deprecated/Makefile, tests/sites/version_switcher/Makefile
has_devcontaineryes
has_linter_configyes
typecheck_configs
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
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/40 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes51,981
source_files_sampled40
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples, notebooks
Inputs used
example_dirsexamples, notebooks
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

771GitHub stars
100contributors
144commits, last 12 months
4days since last push
72releases
4bus factor
133open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Could not fetch npm package 'pydata_sphinx_theme' from its registry

More detail

OpenSSF Scorecard 8.0 / 10
8.0aggregate

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 00:22 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 111 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 23 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
9Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
7Vulnerabilities3 existing vulnerabilities detected
Direct dependencies 13
RegistryPackageVersion constraintManifest
npm@fortawesome/fontawesome-free^7.2.0package.json
npm@popperjs/core^2.11.6package.json
npmbootstrap^5.2.2package.json
npmcompare-versions^5.0.3package.json
npmwebpack-bundle-analyzer^4.10.2package.json
PyPIsphinx>=8.2,<10pyproject.toml
PyPIbeautifulsoup4pyproject.toml
PyPIdocutils!=0.17.0pyproject.toml
PyPIBabelpyproject.toml
PyPIpygments>=2.7pyproject.toml
PyPIaccessible-pygmentspyproject.toml
PyPIjinja2pyproject.toml
PyPIrequestspyproject.toml
All dependencies 397

Full resolved dependency set from the GitHub dependency graph: 8 direct and 389 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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npmpostcss-minify-font-values7.0.1indirect
npmpostcss-minify-gradients7.0.1indirect
npmpostcss-minify-params7.0.6indirect
npmpostcss-minify-selectors7.0.6indirect
npmpostcss-modules-extract-imports3.1.0indirect
npmpostcss-modules-local-by-default4.0.5indirect
npmpostcss-modules-scope3.2.0indirect
npmpostcss-modules-values4.0.0indirect
npmpostcss-normalize-charset7.0.1indirect
npmpostcss-normalize-display-values7.0.1indirect
npmpostcss-normalize-positions7.0.1indirect
npmpostcss-normalize-repeat-style7.0.1indirect
npmpostcss-normalize-string7.0.1indirect
npmpostcss-normalize-timing-functions7.0.1indirect
npmpostcss-normalize-unicode7.0.6indirect
npmpostcss-normalize-url7.0.1indirect
npmpostcss-normalize-whitespace7.0.1indirect
npmpostcss-ordered-values7.0.2indirect
npmpostcss-reduce-initial7.0.6indirect
npmpostcss-reduce-transforms7.0.1indirect
npmpostcss-resolve-nested-selector0.1.6indirect
npmpostcss-safe-parser7.0.1indirect
npmpostcss-scss4.0.9indirect
npmpostcss-selector-parser6.0.16indirect
npmpostcss-selector-parser7.1.1indirect
npmpostcss-svgo7.1.1indirect
npmpostcss-unique-selectors7.0.5indirect
npmpostcss-value-parser4.2.0indirect
npmprettier3.8.3indirect
npmprettier-linter-helpers1.0.1indirect
npmpretty-error4.0.0indirect
npmpunycode2.3.1indirect
npmqified0.9.1indirect
npmqueue-microtask1.2.3indirect
npmreaddirp3.6.0indirect
npmrechoir0.8.0indirect
npmregex-parser2.3.0indirect
npmrelateurl0.2.7indirect
npmrenderkid3.0.0indirect
npmrequire-from-string2.0.2indirect
npmresolve1.22.8indirect
npmresolve-cwd3.0.0indirect
npmresolve-from4.0.0indirect
npmresolve-from5.0.0indirect
npmresolve-url-loader5.0.0indirect
npmreusify1.1.0indirect
npmrun-parallel1.2.0indirect
npmsass1.75.0indirect
npmsass-loader10.5.2indirect
npmsax1.6.0indirect
npmschema-utils3.3.0indirect
npmschema-utils4.3.3indirect
npmsemver7.6.0indirect
npmserialize-javascript7.0.5indirect
npmshallow-clone3.0.1indirect
npmshebang-command2.0.0indirect
npmshebang-regex3.0.0indirect
npmsignal-exit4.1.0indirect
npmsirv2.0.4indirect
npmslash3.0.0indirect
npmslice-ansi4.0.0indirect
npmsource-map0.6.1indirect
npmsource-map-js1.2.1indirect
npmsource-map-support0.5.21indirect
npmstring-width4.2.3indirect
npmstrip-ansi6.0.1indirect
npmstyle-loader4.0.0indirect
npmstylehacks7.0.8indirect
npmstylelint16.26.1indirect
npmstylelint-config-recommended17.0.0indirect
npmstylelint-config-recommended-scss16.0.2indirect
npmstylelint-config-standard39.0.1indirect
npmstylelint-config-standard-scss16.0.0indirect
npmstylelint-prettier4.1.0indirect
npmstylelint-scss6.14.0indirect
npmsupports-color7.2.0indirect
npmsupports-color8.1.1indirect
npmsupports-hyperlinks3.2.0indirect
npmsupports-preserve-symlinks-flag1.0.0indirect
npmsvg-tags1.0.0indirect
npmsvgo4.0.1indirect
npmtable6.9.0indirect
npmtapable2.3.0indirect
npmterser5.46.0indirect
npmterser-webpack-plugin5.4.0indirect
npmto-regex-range5.0.1indirect
npmtotalist3.0.1indirect
npmtslib2.6.2indirect
npmundici-types5.26.5indirect
npmupdate-browserslist-db1.2.3indirect
npmuri-js4.4.1indirect
npmutil-deprecate1.0.2indirect
npmutila0.4.0indirect
npmwatchpack2.5.1indirect
npmwebpack5.105.1indirect
npmwebpack-cli5.1.4indirect
npmwebpack-merge5.10.0indirect
npmwebpack-sources3.3.3indirect
npmwhich1.3.1indirect
npmwhich2.0.2indirect
npmwildcard2.0.1indirect
npmwrite-file-atomic5.0.1indirect
npmws7.5.11indirect
npmyallist4.0.0indirect
PyPIablogindirect
PyPIastroidindirect
PyPIsphinx-autoapi3.6.1indirect
PyPIsphinx-faviconindirect
PyPIsphinx-sitemapindirect
PyPIsphinx-theme-builderindirect
PyPIsphinxcontrib-youtubeindirect
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 v0.11.0 — full methodology · metrics wiki.

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