Public record
Software health reportschema 0.15.0 · metrics 2.10.0 · 2026-07-19 12:56 UTC

jshwi / docsig

Check Python signature params for proper documentation

Python · KotlinCustom license★ 44 stars⑂ 3 forkssince Jun 2022View on GitHub ↗
KindLibraryhow this is determined
#compare#docstring#parameters#signature#tool#function#check#ci#document#test#pre-commit#python#google#numpy#sphinx#pyproject

jshwi/docsig holds a health index of 90 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (100/100) and lowest on Security (58/100). It was last updated today. A single contributor accounts for most of its recent work.

90
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.

90
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 76 is calibrated to 90 on the published index scale (record calibration 2026-08-02).

Ownership

Stephen WhitlockPersonal account
654 followers21 public repossince Oct 2017Squiz

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 publishTags
PyPIdocsig0.91.2555,9931460 days agocheckdocsdocstringparamssignature

Metrics by category

Vitality

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

92Excellent · 21% of overall

Development activity

87Excellent
How it's scored
36/36Push recency — last push 0 days ago
22.8/36Commit cadence — 33/52 weeks with commits
18/18Commit volume — 577 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 27 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year577
human_commit_share—
days_since_last_push0
active_weeks_last_year33

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv0.91.2
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases4
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?

64Moderate · 17% of overall

Popularity & adoption

31At Risk
How it's scored
26.5/60Stars — 44 stars
2.5/25Forks — 3 forks
1.7/15Watchers — 3 watchers
Inputs used
forks3
stars44
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

79Good
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
18/18CONTRIBUTING guide
13.5/13.5Code 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_conductyes
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

96Exceptional
How it's scored
76.6/80Monthly downloads — 555,993 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdocsig
dependents—
ecosystemspypi
total_downloads—
monthly_downloads555,993
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?

62Moderate · 23% of overall

Maintainer resilience (bus factor)

25At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
2.6/22.5Commit distribution — top contributor authored 88% of commits
10.8/13.5Contributor breadth — 8 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled8
top_contributor_share0.885

Issue & PR responsiveness

73Good
How it's scored
42/42Issue resolution — 100% of issues closed
21.8/30PR acceptance — 615/848 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs615
open_issues0
closed_issues110
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio1
closed_unmerged_prs233
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.

Ownership & stewardship

65Good
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
20.2/25Owner reach — 654 followers of jshwi
21.8/25Track record — 21 public repos, account ~8 yr old
Inputs used
followers654
owner_typeUser
is_verified—
owner_loginjshwi
public_repos21
account_age_days3,199
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 0 days ago
20/20Version history — 146 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdocsig
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

100Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — eslint.config.mjs, tox.ini
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://docsig.io
10/10Repository description
10/10Topics — 16 topics
10/10Wiki
Inputs used
topicscompare, docstring, parameters, signature, tool, function, check, ci, document, test, pre-commit, python, google, numpy, sphinx, pyproject
has_wikiyes
homepagehttps://docsig.io
docs_sitehttps://docsig.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

58Moderate · 16% of overall

Security posture

58Moderate
How it's scored
6.8/7.5Binary-Artifacts — binaries present in source code
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — no data
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
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
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 27 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool detected: CodeQL
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5.8
Excluded from scoring (no data or not applicable): CI-Tests, Packaging, 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.

81Excellent · 4% of overall

Agent context & guidance

75Good
How it's scored
45/45Agent instructions — CLAUDE.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes9,003
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

86Excellent
How it's scored
18/18One-command bootstrap — Makefile, docs/Makefile, plugin/intellij/Makefile, plugin/neovim/Makefile, plugin/vscode/Makefile
22/22Automated tests
11/11Lint / format config — eslint.config.mjs, tox.ini
11/11Static type checking — docsig/py.typed, plugin/vscode/tsconfig.json
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, poetry.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile, docs/Makefile, plugin/intellij/Makefile, plugin/neovim/Makefile, plugin/vscode/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsdocsig/py.typed, plugin/vscode/tsconfig.json
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (docsig/py.typed, plugin/vscode/tsconfig.json)
54.1/55Manageable file sizes — 2/129 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes159,265
source_files_sampled129
oversized_source_files2

Key facts

44GitHub stars
8contributors
577commits, last 12 months
0days since last push
100releases
1bus factor
0open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 5.8 / 10
5.8aggregate

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 · 2026-07-19 12:56 UTC

9Binary-Artifactsbinaries present in source code
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
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
9Licenselicense file detected
10Maintained30 commit(s) and 27 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
10SASTSAST tool detected: CodeQL
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIastroid(>=4.0.2,<5.0.0)pyproject.toml
PyPIpathspec(>=0.12.1,<1.2.0)pyproject.toml
PyPItomli(>=2.0.1,<3.0.0)pyproject.toml
PyPIwcmatch(>=10.2.1,<11.0.0)pyproject.toml
All dependencies 349

Full resolved dependency set from the GitHub dependency graph: 5 direct and 344 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIwcmatch10.1direct
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PyPInodeenv1.10.0indirect
PyPIpackaging26.2indirect
PyPIpip26.1.2indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpy-cpuinfo9.0.0indirect
PyPIpycodestyle2.14.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-settings2.14.2indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.20.0indirect
PyPIpylint4.0.6indirect
PyPIpyproject-api1.10.1indirect
PyPIpytest9.1.1indirect
PyPIpytest-benchmark5.2.3indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-randomly4.1.0indirect
PyPIpytest-sugar1.1.1indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-discovery1.4.4indirect
PyPIpython-dotenv1.2.2indirect
PyPIpytokens0.4.1indirect
PyPIpyyaml6.0.3indirect
PyPIquestionary2.1.1indirect
PyPIrequests2.34.2indirect
PyPIrequirements-parser0.13.1indirect
PyPIrich15.0.0indirect
PyPIrich-click1.9.8indirect
PyPIroman-numerals4.1.0indirect
PyPIsetuptools83.0.0indirect
PyPIshiv1.0.8indirect
PyPIsmmap5.0.3indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsoupsieve2.8.4indirect
PyPIsphinx8.1.3indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinx-last-updated-by-git0.3.8indirect
PyPIsphinx-markdown-builder0.6.10indirect
PyPIsphinx-sitemap2.9.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItabulate0.10.0indirect
PyPItermcolor3.3.0indirect
PyPItomli-w1.2.0indirect
PyPItomlkit0.15.1indirect
PyPItowncrier25.8.0indirect
PyPItox4.56.4indirect
PyPItrove-classifiers2026.6.1.19indirect
PyPItruststore0.10.4indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.7.0indirect
PyPIvalidate-pyproject0.25indirect
PyPIvalidate-pyproject-schema-store2026.7.17indirect
PyPIvirtualenv21.6.1indirect
PyPIvulture2.16indirect
PyPIwcwidth0.8.2indirect
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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 v0.15.0 — full methodology · metrics wiki.

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