Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-19 15:27 UTC

kai687 / sphinxawesome-theme

Create beautiful and awesome websites with the Sphinx documentation generator.

Python · HTML · CSSMIT★ 168 stars⑂ 34 forkssince Jan 2020View on GitHub ↗
KindPluginLibraryhow this is determined
#python#documentation#documentation-tool#sphinx#sphinx-theme#theme

kai687/sphinxawesome-theme holds a health index of 81 out of 100, placing it in the Excellent band. It scores highest on Vitality (89/100) and lowest on AI Readiness (56/100). It was last updated 4 days ago. A single contributor accounts for most of its recent work.

81
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.

81
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 69 is calibrated to 81 on the published index scale (record calibration 2026-08-02).

Ownership

Kai WelkePersonal account
0 followers9 public repossince Feb 2016@algolia

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIsphinxawesome-theme6.0.545,5629565 days ago

Metrics by category

Vitality

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

89Excellent · 21% of overall

Development activity

93Exceptional
How it's scored
36/36Push recency — last push 4 days ago
29.1/36Commit cadence — 42/52 weeks with commits
18/18Commit volume — 184 commits in the last year
10/10OpenSSF Scorecard: Maintained — 26 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year184
human_commit_share0.43
days_since_last_push4
active_weeks_last_year42

Release discipline

83Excellent
How it's scored
27/27Ships releases — 43 releases published
36/36Release recency — latest release 65 days ago
19.8/27Release cadence — a release every ~62.3 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count43
latest_release_tag6.0.5
releases_from_tagsno
days_since_latest_release65
mean_days_between_releases62.3

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

57Moderate · 17% of overall

Popularity & adoption

50Moderate
How it's scored
36.1/60Stars — 168 stars
12.7/25Forks — 34 forks
1.7/15Watchers — 3 watchers
Inputs used
forks34
stars168
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

78Good
How it's scored
62.1/80Monthly downloads — 45,562 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagessphinxawesome-theme
dependents—
ecosystemspypi
total_downloads—
monthly_downloads45,562
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?

56Moderate · 23% of overall

Maintainer resilience (bus factor)

22At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.1/22.5Commit distribution — top contributor authored 99% of commits
9.5/13.5Contributor breadth — 7 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled7
top_contributor_share0.994

Issue & PR responsiveness

79Good
How it's scored
41.4/42Issue resolution — 98% of issues closed
25.9/30PR acceptance — 1,876/2,172 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 1/10 approved changesets -- score normalized to 1
Inputs used
merged_prs1,876
open_issues4
closed_issues261
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.985
closed_unmerged_prs296
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

37Weak
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
0/25Owner reach — 0 followers of kai687
19.3/25Track record — 9 public repos, account ~10 yr old
Inputs used
followers0
owner_typeUser
is_verified—
owner_loginkai687
public_repos9
account_age_days3,830
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 65 days ago
20/20Version history — 95 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagessphinxawesome-theme
ecosystemspypi
any_deprecatedno
min_days_since_publish65

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall

Engineering practices

76Good
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — biome.json
0/9.6Pre-commit hooks
0/6.4.editorconfig
12/20OpenSSF Scorecard: CI-Tests — 14 out of 23 merged PRs checked by a CI test -- score normalized to 6
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 site — https://sphinxawesome.xyz
10/10Repository description
10/10Topics — 6 topics
0/10Wiki
Inputs used
topicspython, documentation, documentation-tool, sphinx, sphinx-theme, theme
has_wikino
homepagehttps://sphinxawesome.xyz
docs_sitehttps://sphinxawesome.xyz
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

60Moderate · 16% of overall

Security posture

50Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
1.5/2.5CI-Tests — 14 out of 23 merged PRs checked by a CI test -- score normalized to 6
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 1/10 approved changesets -- score normalized to 1
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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 — 26 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
5.2/7.5Vulnerabilities — 3 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.9
Excluded from scoring (no data or not applicable): Branch-Protection. 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_packages25
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:sphinxawesome-theme@6.0.5 runtime dependency closure — what installing the published package pulls in — 25 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.

56Moderate · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 41 of 43 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.953
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

69Good
How it's scored
18/18One-command bootstrap — mise.toml
22/22Automated tests
11/11Lint / format config — biome.json
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 57 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
lockfilespnpm-lock.yaml, uv.lock
has_dockerfileno
typed_languageno
bootstrap_filesmise.toml
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.57

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/35 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes57,433
source_files_sampled35
oversized_source_files0

Key facts

168GitHub stars
7contributors
184commits, last 12 months
4days since last push
43releases
1bus factor
4open 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 ★ / 34 ⇿
0Stars
34Forks
40Releases

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.

01325383412020-122023-092026-06
Major 3Minor 5Patch 19

Each point covers 5 days.

OpenSSF Scorecard 4.9 / 10
4.9aggregate

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 · 2026-08-19 15:27 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
6CI-Tests14 out of 23 merged PRs checked by a CI test -- score normalized to 6
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 1/10 approved changesets -- score normalized to 1
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained26 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow 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
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7Vulnerabilities3 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIbeautifulsoup4>=4.9.1,<5pyproject.toml
PyPIsphinx>7,<10pyproject.toml
All dependencies 350

Full resolved dependency set from the GitHub dependency graph: 4 direct and 346 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIsphinx8.1.3direct
PyPIsphinx9.0.4direct
PyPIsphinx9.1.0direct
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npm@biomejs/cli-linux-arm642.5.7indirect
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npm@biomejs/cli-linux-x642.5.7indirect
npm@biomejs/cli-linux-x64-musl2.5.7indirect
npm@biomejs/cli-win32-arm642.5.7indirect
npm@biomejs/cli-win32-x642.5.7indirect
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npm@rspack/binding-darwin-x642.1.8indirect
npm@rspack/binding-linux-arm64-gnu2.1.8indirect
npm@rspack/binding-linux-arm64-musl2.1.8indirect
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npmtiny-emitter2.1.0indirect
npmtslib2.8.1indirect
npmundici-types8.3.0indirect
npmupdate-browserslist-db1.3.1indirect
npmutil-deprecate1.0.2indirect
npmwatchpack2.5.2indirect
npmwebpack5.104.1indirect
npmwebpack-remove-empty-scripts1.1.1indirect
npmwebpack-sources3.5.1indirect
PyPIalabaster1.0.0indirect
PyPIanyio4.14.1indirect
PyPIappnope0.1.4indirect
PyPIastroid4.1.2indirect
PyPIasttokens3.0.1indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.1.0indirect
PyPIcharset-normalizer3.4.8indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcomm0.2.3indirect
PyPIcoverage7.15.0indirect
PyPIdebugpy1.8.21indirect
PyPIdecorator5.3.1indirect
PyPIdocutils0.21.2indirect
PyPIdocutils0.22.4indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecuting2.2.1indirect
PyPIfastjsonschema2.21.2indirect
PyPIgreenlet3.5.3indirect
PyPIh110.16.0indirect
PyPIhatch—indirect
PyPIidna3.18indirect
PyPIimagesize2.0.0indirect
PyPIimportlib-metadata9.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIipykernel7.3.0indirect
PyPIipython8.39.0indirect
PyPIipython9.15.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIjedi0.20.0indirect
PyPIjinja23.1.6indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter-cache1.0.1indirect
PyPIjupyter-client8.9.1indirect
PyPIjupyter-core5.9.1indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.2.2indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPImyst-nb1.4.0indirect
PyPImyst-parser4.0.1indirect
PyPImyst-parser5.1.0indirect
PyPInbclient0.11.0indirect
PyPInbformat5.10.4indirect
PyPInest-asyncio21.7.2indirect
PyPIpackaging26.2indirect
PyPIparso0.8.7indirect
PyPIpexpect4.9.0indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpsutil7.2.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpycparser3.0indirect
PyPIpygments2.20.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIroman-numerals4.1.0indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruff0.15.20indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsoupsieve2.8.4indirect
PyPIsphinx-autoapi3.8.0indirect
PyPIsphinx-autobuild2024.10.3indirect
PyPIsphinx-autobuild2025.8.25indirect
PyPIsphinx-design0.6.1indirect
PyPIsphinx-design0.7.0indirect
PyPIsphinx-docsearch0.3.0indirect
PyPIsphinx-last-updated-by-git0.3.8indirect
PyPIsphinx-sitemap2.9.0indirect
PyPIsphinxawesome-theme6.0.5indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsqlalchemy2.0.51indirect
PyPIstack-data0.6.3indirect
PyPIstarlette1.3.1indirect
PyPItabulate0.10.0indirect
PyPItomli2.4.1indirect
PyPItornado6.5.7indirect
PyPItraitlets5.15.1indirect
PyPIty0.0.56indirect
PyPItypes-beautifulsoup44.12.0.20250516indirect
PyPItypes-docutils0.22.3.20260518indirect
PyPItypes-html5lib1.1.11.20260518indirect
PyPItypes-pygments2.20.0.20260518indirect
PyPItypes-webencodings0.5.0.20260408indirect
PyPItyping-extensions4.16.0indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.50.2indirect
PyPIwatchfiles1.2.0indirect
PyPIwcwidth0.8.2indirect
PyPIwebsockets16.0indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:sphinxawesome-theme@6.0.5 pulls in 25 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.

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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 v0.31.0 — full methodology · metrics wiki.

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