Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-11 07:27 UTC

NVIDIA / sphinx-llm

LLM extensions for Sphinx Documentation

PythonApache-2.0★ 36 stars⑂ 11 forkssince Nov 2024View on GitHub ↗

NVIDIA/sphinx-llm holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (89/100) and lowest on Security (54/100). It was last updated 3 days ago. A single contributor accounts for most of its recent work.

86
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.

86
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 72 is calibrated to 86 on the published index scale (record calibration 2026-08-02).

Ownership

NVIDIA CorporationOrganization
28,831 followers782 public repossince May 2012

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIsphinx-llm0.4.1235,76610130 days ago

Metrics by category

Vitality

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

73Good · 21% of overall
How it's scored
36/36Push recencylast push 3 days ago
8.3/36Commit cadence12/52 weeks with commits
15.3/18Commit volume49 commits in the last year
10/10OpenSSF Scorecard: Maintained11 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year49
human_commit_share1
days_since_last_push3
active_weeks_last_year12
How it's scored
16.2/27Ships releases10 version tags (no GitHub releases)
27/36Release recencylatest release 131 days ago
27/27Release cadencea release every ~29.4 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count10
latest_release_tag0.4.1
releases_from_tagsyes
days_since_latest_release131
mean_days_between_releases29.4
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?

61Moderate · 17% of overall
How it's scored
25/60Stars36 stars
8.3/25Forks11 forks
1.7/15Watchers3 watchers
Inputs used
forks11
stars36
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno
How it's scored
71.6/80Monthly downloads235,766 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagessphinx-llm
dependents
ecosystemspypi
total_downloads
monthly_downloads235,766
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?

76Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
4.5/22.5Commit distributiontop contributor authored 80% of commits
6.8/13.5Contributor breadth5 contributors
10/10OpenSSF Scorecard: Contributorsproject has 7 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled5
top_contributor_share0.8
How it's scored
37.6/42Issue resolution90% of issues closed
29/30PR acceptance59/61 decided PRs merged
13/13Newcomer PR acceptance11/11 first-time contributors' PRs merged in 30d
7.5/15OpenSSF Scorecard: Code-ReviewFound 17/30 approved changesets -- score normalized to 5
Inputs used
merged_prs59
open_issues6
closed_issues51
prs_merged_7d11
prs_decided_7d11
prs_merged_30d11
prs_decided_30d11
issue_closed_ratio0.895
closed_unmerged_prs2
first_time_authors_30d3
first_time_prs_merged_30d11
first_time_prs_decided_30d11
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
25/25Owner reach28,831 followers of NVIDIA
25/25Track record782 public repos, account ~14 yr old
Inputs used
followers28,831
owner_typeOrganization
is_verified
owner_loginNVIDIA
public_repos782
account_age_days5,205
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 130 days ago
20/20Version history10 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagessphinx-llm
ecosystemspypi
any_deprecatedno
min_days_since_publish130

Engineering Quality

Are baseline engineering and documentation practices in place?

89Excellent · 19% of overall
How it's scored
24/24CI workflows5 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests28 out of 30 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics4 topics
10/10Wiki
Inputs used
topicsdocumentation, llm, sphinx-doc, sphinx-extension
has_wikiyes
homepage
docs_site
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

54Moderate · 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
2.2/2.5CI-Tests28 out of 30 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3.8/7.5Code-ReviewFound 17/30 approved changesets -- score normalized to 5
2.5/2.5Contributorsproject has 7 contributing companies or organizations
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
7.5/7.5Maintained11 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0.5/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
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
0/7.5Vulnerabilities10 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.3
Excluded from scoring (no data or not applicable): 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_packages24
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:sphinx-llm@0.4.1 runtime dependency closure — what installing the published package pulls in — 24 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.

70Good · 4% of overall
How it's scored
45/45Agent instructionsAGENTS.md
0/15Machine-readable docs (llms.txt)
37/40Legible commit history59 of 85 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.694
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes4,102
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environmentlockfile
4.7/10Demonstrated agent practice2 of the last 85 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
1/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.024
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/12 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes41,889
source_files_sampled12
oversized_source_files0

Key facts

36GitHub stars
5contributors
49commits, last 12 months
3days since last push
10releases
1bus factor
6open 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 ★ / 11 ⇿
0Stars
11Forks
3Releases

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.

0246810121122026-022026-052026-07
Major 0Minor 2Patch 1
OpenSSF Scorecard 4.3 / 10
4.3aggregate

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 · 2026-08-11 07:26 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
9CI-Tests28 out of 30 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 17/30 approved changesets -- score normalized to 5
10Contributorsproject has 7 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained11 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
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
0Vulnerabilities10 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIsphinx-markdown-builder>=0.6.8pyproject.toml
PyPIsphinx>=5pyproject.toml
All dependencies 76

Full resolved dependency set from the GitHub dependency graph: 5 direct and 71 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIsphinx7.4.7direct
PyPIsphinx8.1.3direct
PyPIsphinx9.0.4direct
PyPIsphinx9.1.0direct
PyPIsphinx-markdown-builder0.6.10direct
PyPIalabaster0.7.16indirect
PyPIalabaster1.0.0indirect
PyPIannotated-types0.7.0indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.12.1indirect
PyPIanyio4.14.2indirect
PyPIbabel2.18.0indirect
PyPIcertifi2026.7.22indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclick8.1.8indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.10.7indirect
PyPIcoverage7.15.3indirect
PyPIdistro1.9.0indirect
PyPIdocutils0.21.2indirect
PyPIdocutils0.22.4indirect
PyPIexceptiongroup1.3.1indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidna3.18indirect
PyPIimagesize1.5.0indirect
PyPIimagesize2.0.0indirect
PyPIimportlib-metadata8.7.1indirect
PyPIiniconfig2.1.0indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIjiter0.16.0indirect
PyPImarkupsafe3.0.3indirect
PyPIopenai2.48.0indirect
PyPIopenai2.53.0indirect
PyPIpackaging26.2indirect
PyPIpluggy1.6.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpygments2.20.0indirect
PyPIpytest8.4.2indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIrequests2.32.5indirect
PyPIrequests2.34.2indirect
PyPIroman-numerals4.1.0indirect
PyPIsniffio1.3.1indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsphinx-autobuild2024.10.3indirect
PyPIsphinx-autobuild2025.8.25indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstarlette0.49.3indirect
PyPIstarlette1.3.1indirect
PyPItabulate0.10.0indirect
PyPItabulate0.9.0indirect
PyPItomli2.4.1indirect
PyPItqdm4.70.0indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.6.3indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.39.0indirect
PyPIuvicorn0.52.1indirect
PyPIwatchfiles1.1.1indirect
PyPIwatchfiles1.2.0indirect
PyPIwebsockets15.0.1indirect
PyPIwebsockets16.1.1indirect
PyPIwebsockets17.0.1indirect
PyPIzipp3.23.1indirect
Dependency advisories 0

Installing pypi:sphinx-llm@0.4.1 pulls in 24 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 v0.31.0 — full methodology · metrics wiki.

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