Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 22:09 UTC

Wacom-Developer / personal-knowledge-library

Library for accessing personal knowledge service.

PythonApache-2.0★ 5 stars⑂ 0 forkssince Mar 2022View on GitHub ↗
KindLibraryhow this is determined
#knowledge-graph#wikidata#wikidata-api

Wacom-Developer/personal-knowledge-library holds a health index of 60 out of 100, placing it in the Moderate band. It scores highest on Vitality (82/100) and lowest on Community & Adoption (29/100). It was last updated 11 days ago. A single contributor accounts for most of its recent work.

60
overall / 100
Moderate

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.

60
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 57 is calibrated to 60 on the published index scale (record calibration 2026-08-02).

Ownership

WacomOrganization
82 followers38 public repossince May 2018

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpersonal_knowledge_library5.0.08957911 days agosemantic-knowledgeknowledge-graph

Metrics by category

Vitality

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

82Excellent · 21% of overall

Development activity

70Good
How it's scored
28.8/36Push recency — last push 11 days ago
13.2/36Commit cadence — 19/52 weeks with commits
18/18Commit volume — 253 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year253
human_commit_share1
days_since_last_push11
active_weeks_last_year19

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 66 releases published
36/36Release recency — latest release 11 days ago
27/27Release cadence — a release every ~21.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count66
latest_release_tagv5.0.0
releases_from_tagsno
days_since_latest_release11
mean_days_between_releases21.4
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?

29At Risk · 17% of overall

Popularity & adoption

10Critical
How it's scored
9.8/60Stars — 5 stars
0/25Forks — 0 forks
0/15Watchers — 1 watchers
Inputs used
forks0
stars5
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonbelow_threshold

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges9
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

42Weak · 23% of overall

Maintainer resilience (bus factor)

15Critical
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
2.7/13.5Contributor breadth — 2 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.994

Issue & PR responsiveness

1Critical
How it's scored
0/42Issue resolution — no issues or no data
0/30PR acceptance — no decided pull requests or no data
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_prs0
open_issues0
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio—
closed_unmerged_prs0
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Issue resolution, PR acceptance, Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

67Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
13.8/25Owner reach — 82 followers of Wacom-Developer
23.6/25Track record — 38 public repos, account ~8 yr old
Inputs used
followers82
owner_typeOrganization
is_verifiedno
owner_loginWacom-Developer
public_repos38
account_age_days3,027

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 11 days ago
20/20Version history — 79 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespersonal_knowledge_library
ecosystemspypi
any_deprecatedno
min_days_since_publish11

Engineering Quality

Are baseline engineering and documentation practices in place?

78Good · 19% of overall

Engineering practices

80Excellent
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — .flake8, .pylintrc, pyproject.toml ([tool.flake8], [tool.pylint], [tool.black])
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

75Good
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 3 topics
0/10Wiki
Inputs used
topicsknowledge-graph, wikidata, wikidata-api
has_wikino
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?

52Moderate · 16% of overall

Security posture

40Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
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
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 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
0/5SAST — no SAST tool detected
0/5Security-Policy — security policy file not 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_aggregate4
Excluded from scoring (no data or not applicable): CI-Tests, Packaging, Signed-Releases. 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_packages26
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:personal_knowledge_library@5.0.0 runtime dependency closure — what installing the published package pulls in — 26 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.

52Moderate · 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 — 98 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.98
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

43Weak
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .flake8, .pylintrc, pyproject.toml ([tool.flake8], [tool.pylint], [tool.black])
0/11Static type checking
0/10Reproducible environment
10/10Demonstrated agent practice — 10 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.1
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

53Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
53.1/55Manageable file sizes — 4/113 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes149,332
source_files_sampled113
oversized_source_files4

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — samples
Inputs used
example_dirssamples
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

5GitHub stars
2contributors
253commits, last 12 months
11days since last push
66releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2025-11-29: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 5 stars today.

More detail

Star and fork history 3 ★ / 0 ⇿
3Stars
12Releases

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.

Star history is shown as collected on 2025-11-29. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

12233312025-032025-072025-11
Major 1Minor 4Patch 7
OpenSSF Scorecard 4.0 / 10
4.0aggregate

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 · 2026-09-12 22:09 UTC

10Binary-Artifactsno binaries found in the repo
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
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 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
0SASTno SAST tool detected
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 11
RegistryPackageVersion constraintManifest
PyPIaiohttp>=3.13.4,<4.0.0pyproject.toml
PyPIrequests(>=2.32.0, <3.0.0)pyproject.toml
PyPIPyJWT(>=2.10.1,<3.0.0)pyproject.toml
PyPItqdm>=4.65.0pyproject.toml
PyPIrdflib>=7.1.0pyproject.toml
PyPIorjson>=3.10.0pyproject.toml
PyPIcertifi—pyproject.toml
PyPIcachetools>=5.3.0pyproject.toml
PyPIloguru==0.7.3pyproject.toml
PyPIurllib3(>=2.6.3,<3.0.0)pyproject.toml
PyPItypes-requests(>=2.32.4.20260107,<3.0.0.0)pyproject.toml
All dependencies 87

Full resolved dependency set from the GitHub dependency graph: 11 direct and 76 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiohttp3.14.3direct
PyPIcachetools7.1.8direct
PyPIcertifi2026.7.22direct
PyPIloguru0.7.3direct
PyPIorjson3.12.0direct
PyPIpyjwt2.13.0direct
PyPIrdflib7.6.0direct
PyPIrequests2.34.2direct
PyPItqdm4.70.0direct
PyPItypes-requests2.33.0.20260712direct
PyPIurllib32.7.0direct
PyPIaiodns4.0.4indirect
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiosignal1.4.0indirect
PyPIast-serialize0.8.0indirect
PyPIastroid4.0.4indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs26.1.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbackports-zstd1.7.0indirect
PyPIbitarray3.10.1indirect
PyPIbitstring4.4.0indirect
PyPIblack26.5.1indirect
PyPIbrotli1.2.0indirect
PyPIbrotlicffi1.2.0.2indirect
PyPIcffi2.1.1indirect
PyPIcharset-normalizer3.5.1indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.16.0indirect
PyPIdill0.4.1indirect
PyPIdistlib0.4.3indirect
PyPIexceptiongroup1.3.1indirect
PyPIfaker18.9.0indirect
PyPIfilelock3.32.5indirect
PyPIflake87.3.0indirect
PyPIfrozenlist1.8.0indirect
PyPIidna3.19indirect
PyPIiniconfig2.3.0indirect
PyPIisodate0.7.2indirect
PyPIisort9.0.1indirect
PyPIlibrt0.15.0indirect
PyPIlxml6.1.2indirect
PyPImako1.4.1indirect
PyPImarkdown3.10.3indirect
PyPImarkupsafe3.0.3indirect
PyPImccabe0.7.0indirect
PyPImultidict6.7.1indirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPInumpy2.2.6indirect
PyPIpackaging26.3indirect
PyPIpathspec1.1.1indirect
PyPIpdoc30.11.6indirect
PyPIplatformdirs4.11.6indirect
PyPIpluggy1.6.0indirect
PyPIpropcache0.5.2indirect
PyPIprotobuf3.20.3indirect
PyPIpycares5.0.1indirect
PyPIpycodestyle2.14.0indirect
PyPIpycparser3.0indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.21.0indirect
PyPIpylint4.0.8indirect
PyPIpyparsing3.3.2indirect
PyPIpyproject-api1.11.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-env1.7.0indirect
PyPIpytest-mock3.15.1indirect
PyPIpython-dateutil2.9.0indirect
PyPIpython-discovery1.6.0indirect
PyPIpython-dotenv1.2.3indirect
PyPIpytokens0.4.1indirect
PyPIsix1.17.0indirect
PyPItibs0.5.7indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItomlkit0.15.1indirect
PyPItox4.61.2indirect
PyPItyping-extensions4.16.0indirect
PyPIuniversal-ink-library2.1.1indirect
PyPIvarint1.0.2indirect
PyPIvirtualenv21.7.7indirect
PyPIwin32-setctime1.2.0indirect
PyPIyarl1.24.5indirect
Dependency advisories 0

Installing pypi:personal_knowledge_library@5.0.0 pulls in 26 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

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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 v0.34.0 — full methodology · metrics wiki.

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