Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-15 18:58 UTC

yifanfeng97 / Hyper-Extract

Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.

PythonCustom license★ 3,937 stars⑂ 450 forkssince Jan 2026View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

yifanfeng97/Hyper-Extract holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Vitality (92/100) and lowest on AI Readiness (57/100). It was last updated today. A single contributor accounts for most of its recent work.

89
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.

89
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 75 is calibrated to 89 on the published index scale (record calibration 2026-08-02).

Ownership

Yifan FengPersonal account
315 followers49 public repossince Oct 2015Tsinghua Unviersity

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
PyPIhyperextract0.10.13,843171 day agofaissknowledge-extractionlangchainllmnlppydanticragsemantic-search

Metrics by category

Vitality

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

92Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
22.8/36Commit cadence — 33/52 weeks with commits
18/18Commit volume — 505 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year505
human_commit_share1
days_since_last_push0
active_weeks_last_year33

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 16 releases published
36/36Release recency — latest release 1 days ago
27/27Release cadence — a release every ~1.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count16
latest_release_tagv0.10.1
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases1.4
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?

66Good · 17% of overall
How it's scored
58.3/60Stars — 3,937 stars
22.1/25Forks — 450 forks
7.2/15Watchers — 21 watchers
Inputs used
forks450
stars3,937
watchers21
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno
How it's scored
47.8/80Monthly downloads — 3,843 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageshyperextract
dependents—
ecosystemspypi
total_downloads—
monthly_downloads3,843
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?

72Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
6/22.5Commit distribution — top contributor authored 73% of commits
13.5/13.5Contributor breadth — 12 contributors
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled12
top_contributor_share0.734
How it's scored
42/42Issue resolution — 100% of issues closed
27.6/30PR acceptance — 103/112 decided PRs merged
12.3/13Newcomer PR acceptance — 50/53 first-time contributors' PRs merged in 30d
13.5/15OpenSSF Scorecard: Code-Review — Found 14/15 approved changesets -- score normalized to 9
Inputs used
merged_prs103
open_issues0
closed_issues60
prs_merged_7d41
prs_decided_7d44
prs_merged_30d56
prs_decided_30d59
issue_closed_ratio1
closed_unmerged_prs9
first_time_authors_30d2
first_time_prs_merged_30d50
first_time_prs_decided_30d53
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
18/25Owner reach — 315 followers of yifanfeng97
24.4/25Track record — 49 public repos, account ~10 yr old
Inputs used
followers315
owner_typeUser
is_verified—
owner_loginyifanfeng97
public_repos49
account_age_days3,996
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 1 days ago
20/20Version history — 17 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageshyperextract
ecosystemspypi
any_deprecatedno
min_days_since_publish1

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
12/20OpenSSF Scorecard: CI-Tests — 9 out of 14 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://yifanfeng97.github.io/Hyper-Extract/
10/10Repository description
10/10Topics — 10 topics
10/10Wiki
Inputs used
topicsai, cli, hypergraph, information-extraction, knowledge, knowledge-graph, llm, python, rag, ai-agents
has_wikiyes
homepagehttps://yifanfeng97.github.io/Hyper-Extract/
docs_sitehttps://yifanfeng97.github.io/Hyper-Extract/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

59Moderate · 16% of overall
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
1.5/2.5CI-Tests — 9 out of 14 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
6.8/7.5Code-Review — Found 14/15 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 4 contributing companies or organizations
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 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 — no data
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities — 69 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.9
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.
How it's scored
13.6/35Direct dependencies free of known advisories — 3 affected: langchain 1.2.6 (moderate 5.5), python-dotenv 1.2.1 (moderate 6.6), langchain-openai 1.1.7 (low 3.1)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
29/40No advisories left outstanding — 3 advisory-carrying package(s) unaddressed past 90 days; oldest published 151 days ago
Inputs used
sourceosv
advisories137
affected_packages26
assessed_packages176
unassessed_packages0
affected_by_severitycritical 2, high 10, moderate 12, low 2
direct_affected_packages3
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 176 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

57Moderate · 4% of overall
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—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
6/10Demonstrated agent practice — 3 of the last 100 commits agent-authored or agent-credited
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
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.03
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
54.7/55Manageable file sizes — 1/203 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes67,228
source_files_sampled203
oversized_source_files1
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

3,937GitHub stars
12contributors
505commits, last 12 months
0days since last push
16releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:hyperextract@0.10.1; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 450 ⇿
0Stars
450Forks
13Releases

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.

0100200300400500449382026-042026-062026-09
Major 0Minor 8Patch 5
OpenSSF Scorecard 5.9 / 10
5.9aggregate

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 · 2026-09-15 18:58 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
6CI-Tests9 out of 14 merged PRs checked by a CI test -- score normalized to 6
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 14/15 approved changesets -- score normalized to 9
10Contributorsproject has 4 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 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
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities69 existing vulnerabilities detected
Direct dependencies 12
RegistryPackageVersion constraintManifest
PyPIfaiss-cpu>=1.13.2pyproject.toml
PyPIlangchain>=1.2.6pyproject.toml
PyPIlangchain-community>=0.4.1pyproject.toml
PyPIlangchain-openai>=1.1.7pyproject.toml
PyPIstructlog>=25.5.0pyproject.toml
PyPIontomem>=0.6.0pyproject.toml
PyPIontosight>=0.1.8pyproject.toml
PyPIpython-dotenv>=1.2.1pyproject.toml
PyPIsemhash>=0.4.1pyproject.toml
PyPItyper>=0.13.0pyproject.toml
PyPIrich>=13.7.0pyproject.toml
PyPItomli-w>=1.0.0pyproject.toml
All dependencies 176

Full resolved dependency set from the GitHub dependency graph: 12 direct and 164 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIfaiss-cpu1.13.2direct
PyPIlangchain1.2.6direct
PyPIlangchain-community0.4.1direct
PyPIlangchain-openai1.1.7direct
PyPIontomem0.6.0direct
PyPIontosight0.1.8direct
PyPIpython-dotenv1.2.1direct
PyPIrich14.2.0direct
PyPIsemhash0.4.1direct
PyPIstructlog25.5.0direct
PyPItomli-w1.2.0direct
PyPItyper0.24.1direct
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.13.3indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanthropic0.84.0indirect
PyPIanyio4.12.1indirect
PyPIattrs25.4.0indirect
PyPIbabel2.17.0indirect
PyPIbackrefs6.1indirect
PyPIbeautifulsoup44.15.0indirect
PyPIcertifi2026.1.4indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIclick8.3.1indirect
PyPIcobble0.1.4indirect
PyPIcolorama0.4.6indirect
PyPIcoloredlogs15.0.1indirect
PyPIcryptography46.0.5indirect
PyPIdataclasses-json0.6.7indirect
PyPIdefusedxml0.7.1indirect
PyPIdistro1.9.0indirect
PyPIdocstring-parser0.17.0indirect
PyPIet-xmlfile2.0.0indirect
PyPIfastapi0.128.4indirect
PyPIfilelock3.20.3indirect
PyPIfiletype1.2.0indirect
PyPIflatbuffers25.12.19indirect
PyPIfrozendict2.4.7indirect
PyPIfrozenlist1.8.0indirect
PyPIfsspec2026.1.0indirect
PyPIghp-import2.1.0indirect
PyPIgoogle-auth2.49.1indirect
PyPIgoogle-genai1.67.0indirect
PyPIgreenlet3.3.0indirect
PyPIgriffe1.15.0indirect
PyPIh110.16.0indirect
PyPIhf-xet1.2.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttptools0.7.1indirect
PyPIhttpx0.28.1indirect
PyPIhttpx-sse0.4.3indirect
PyPIhuggingface-hub0.36.0indirect
PyPIhumanfriendly10.0indirect
PyPIhyperextract0.10.0indirect
PyPIidna3.11indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIjiter0.12.0indirect
PyPIjoblib1.5.3indirect
PyPIjsonpatch1.33indirect
PyPIjsonpointer3.0.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIlangchain-anthropic1.3.5indirect
PyPIlangchain-classic1.0.1indirect
PyPIlangchain-core1.2.19indirect
PyPIlangchain-google-genai4.2.1indirect
PyPIlangchain-text-splitters1.1.0indirect
PyPIlanggraph1.0.5indirect
PyPIlanggraph-checkpoint3.0.1indirect
PyPIlanggraph-prebuilt1.0.5indirect
PyPIlanggraph-sdk0.3.1indirect
PyPIlangsmith0.6.1indirect
PyPIlxml6.1.3indirect
PyPImagika0.6.3indirect
PyPImammoth1.11.0indirect
PyPImarkdown3.10indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkdownify1.2.3indirect
PyPImarkitdown0.1.7indirect
PyPImarkupsafe3.0.3indirect
PyPImarshmallow3.26.2indirect
PyPImcp1.29.0indirect
PyPImdurl0.1.2indirect
PyPImergedeep1.3.4indirect
PyPImike2.1.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.3indirect
PyPImkdocs-get-deps0.2.0indirect
PyPImkdocs-material9.7.1indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocs-static-i18n1.3.1indirect
PyPImkdocstrings1.0.0indirect
PyPImkdocstrings-python2.0.1indirect
PyPImodel2vec0.7.0indirect
PyPImpmath1.3.0indirect
PyPImultidict6.7.0indirect
PyPImypy-extensions1.1.0indirect
PyPInumpy2.4.1indirect
PyPIonnxruntime1.20.1indirect
PyPIopenai2.14.0indirect
PyPIopenpyxl3.1.5indirect
PyPIorjson3.11.5indirect
PyPIormsgpack1.12.1indirect
PyPIpackaging25.0indirect
PyPIpaginate0.5.7indirect
PyPIpandas3.0.5indirect
PyPIpathspec1.0.1indirect
PyPIpdfminer-six20260107indirect
PyPIpdfplumber0.11.10indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.5.1indirect
PyPIpluggy1.6.0indirect
PyPIpropcache0.4.1indirect
PyPIprotobuf7.36.1indirect
PyPIpyasn10.6.2indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
PyPIpydantic-settings2.12.0indirect
PyPIpygments2.19.2indirect
PyPIpyjwt2.13.0indirect
PyPIpymdown-extensions10.20indirect
PyPIpyparsing3.3.2indirect
PyPIpypdfium25.13.0indirect
PyPIpyreadline33.5.6indirect
PyPIpytest9.0.2indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-multipart0.0.32indirect
PyPIpython-pptx1.0.2indirect
PyPIpyversity0.1.1indirect
PyPIpywin32312indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIreferencing0.37.0indirect
PyPIregex2025.11.3indirect
PyPIrequests2.32.5indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrpds-py2026.6.3indirect
PyPIsafetensors0.7.0indirect
PyPIsetuptools80.10.1indirect
PyPIshellingham1.5.4indirect
PyPIsimsimd6.5.12indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsoupsieve2.9.2indirect
PyPIsqlalchemy2.0.45indirect
PyPIsse-starlette3.4.6indirect
PyPIstarlette0.52.1indirect
PyPIsympy1.14.0indirect
PyPItenacity9.1.2indirect
PyPItiktoken0.12.0indirect
PyPItokenizers0.22.2indirect
PyPItqdm4.67.1indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspect0.9.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.3indirect
PyPIurllib32.6.2indirect
PyPIusearch2.23.0indirect
PyPIuuid-utils0.12.0indirect
PyPIuvicorn0.40.0indirect
PyPIuvloop0.22.1indirect
PyPIverspec0.1.0indirect
PyPIvicinity0.4.3indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.1.1indirect
PyPIwebsockets16.0indirect
PyPIxlsxwriter3.2.9indirect
PyPIxxhash3.6.0indirect
PyPIyarl1.22.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 26

This repository publishes no package the index resolves, so its own dependency graph was assessed — 176 packages, which also include development and test pins that never ship: 26 carry known advisories, of which 3 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
aiohttp3.13.3indirectcritical483.14.3
cryptography46.0.5indirectcritical1150.0.0
click8.3.1indirecthigh18.3.3
langchain-classic1.0.1indirecthigh21.0.7
langchain-core1.2.19indirecthigh61.3.3
langgraph1.0.5indirecthigh21.0.10rc1
langsmith0.6.1indirecthigh71.0.7
orjson3.11.5indirecthigh13.11.6
pyasn10.6.2indirecthigh80.6.4
pymdown-extensions10.20indirecthigh611.0.1
starlette0.52.1indirecthigh101.3.1
urllib32.6.2indirecthigh62.7.0
langchain1.2.6directmoderate21.4.6
python-dotenv1.2.1directmoderate21.2.2
idna3.11indirectmoderate23.15
langchain-anthropic1.3.5indirectmoderate21.4.6
langchain-text-splitters1.1.0indirectmoderate21.1.2
langgraph-checkpoint3.0.1indirectmoderate44.1.1
langgraph-sdk0.3.1indirectmoderate20.3.15
mkdocs-material9.7.1indirectmoderate29.7.7
pydantic-settings2.12.0indirectmoderate12.14.2
pytest9.0.2indirectmoderate29.0.3
requests2.32.5indirectmoderate22.33.0
setuptools80.10.1indirectmoderate283.0.0
langchain-openai1.1.7directlow21.1.14
pygments2.19.2indirectlow22.20.0

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 v0.34.0 — full methodology · metrics wiki.

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