Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-09 03:58 UTC

Loop3D / LoopStructural

LoopStructural is an open-source 3D structural geological modelling library.

PythonMIT★ 296 stars⑂ 58 forkssince Apr 2019View on GitHub ↗
KindLibraryhow this is determined
#geoscience#geology#interpolation#geology-modelling#structural-geology#folds#faults#kinematics#implicit-modelling#3d-modelling

Loop3D/LoopStructural holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (94/100) and lowest on Community & Adoption (56/100). It was last updated 3 days ago. A single contributor accounts for most of its recent work.

88
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.

88
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

Loop3DOrganization
106 followers76 public repossince Dec 2018

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPILoopStructural1.8.23,8468111 days agoearth-sciencesgeology3-d-modellingstructural-geologyuncertainty

Metrics by category

Vitality

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

86Excellent · 21% of overall

Development activity

76Good
How it's scored
36/36Push recency — last push 3 days ago
12.5/36Commit cadence — 18/52 weeks with commits
18/18Commit volume — 206 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year206
human_commit_share0.79
days_since_last_push3
active_weeks_last_year18

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 3 days ago
27/27Release cadence — a release every ~5.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagmap2loop-v3.5.1
releases_from_tagsno
days_since_latest_release3
mean_days_between_releases5.5
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?

56Moderate · 17% of overall

Popularity & adoption

60Moderate
How it's scored
40.1/60Stars — 296 stars
14.6/25Forks — 58 forks
5.6/15Watchers — 11 watchers
Inputs used
forks58
stars296
watchers11
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_badges3
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbadge.fury.io, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

60Moderate
How it's scored
47.8/80Monthly downloads — 3,846 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesLoopStructural
dependents—
ecosystemspypi
total_downloads—
monthly_downloads3,846
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?

66Good · 23% of overall

Maintainer resilience (bus factor)

34At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.2/22.5Commit distribution — top contributor authored 95% of commits
13.5/13.5Contributor breadth — 12 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled12
top_contributor_share0.946

Issue & PR responsiveness

75Good
How it's scored
37.8/42Issue resolution — 90% of issues closed
27.3/30PR acceptance — 222/244 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/16 approved changesets -- score normalized to 0
Inputs used
merged_prs222
open_issues9
closed_issues81
prs_merged_7d2
prs_decided_7d2
prs_merged_30d6
prs_decided_30d6
issue_closed_ratio0.9
closed_unmerged_prs22
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

70Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
14.6/25Owner reach — 106 followers of Loop3D
25/25Track record — 76 public repos, account ~7 yr old
Inputs used
followers106
owner_typeOrganization
is_verifiedno
owner_loginLoop3D
public_repos76
account_age_days2,867

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 — 81 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesLoopStructural
ecosystemspypi
any_deprecatedno
min_days_since_publish11

Engineering Quality

Are baseline engineering and documentation practices in place?

94Exceptional · 19% of overall

Engineering practices

90Excellent
How it's scored
24/24CI workflows — 11 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff], [tool.black], [tool.isort])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests — 20 out of 23 merged PRs checked by a CI test -- score normalized to 8
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://Loop3d.org/LoopStructural/
10/10Repository description
10/10Topics — 10 topics
10/10Wiki
Inputs used
topicsgeoscience, geology, interpolation, geology-modelling, structural-geology, folds, faults, kinematics, implicit-modelling, 3d-modelling
has_wikiyes
homepage—
docs_sitehttps://Loop3d.org/LoopStructural/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

64Moderate · 16% of overall

Security posture

55Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2/2.5CI-Tests — 20 out of 23 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/16 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
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 — 30 commit(s) and 1 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
5/5SAST — SAST tool is run on all commits
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
0/7.5Vulnerabilities — 51 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.5
Excluded from scoring (no data or not applicable): Branch-Protection, 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_packages50
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:LoopStructural@1.8.2 runtime dependency closure — what installing the published package pulls in — 50 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.

67Good · 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 — 75 of 79 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.949
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

79Good
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff], [tool.black], [tool.isort])
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 7 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 7 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
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.07
toolchain_manifests—
dependency_bot_commit_share0.07

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.2/55Manageable file sizes — 5/352 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes71,695
source_files_sampled352
oversized_source_files5

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 — examples
Inputs used
example_dirsexamples
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

296GitHub stars
12contributors
206commits, last 12 months
3days since last push
100releases
1bus factor
9open 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 ★ / 58 ⇿
0Stars
58Forks
93Releases

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.

01020304050605622020-062023-082026-09
Major 0Minor 7Patch 79

Each point covers 6 days.

OpenSSF Scorecard 5.5 / 10
5.5aggregate

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 · 2026-10-09 03:57 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
8CI-Tests20 out of 23 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/16 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 1 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
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities51 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
PyPIloop-common>=0.0.1,<0.1.0pyproject.toml
PyPIloop-interpolation>=0.0.1,<0.1.0pyproject.toml
PyPInumpy>=1.18pyproject.toml
PyPIpandas—pyproject.toml
PyPIscipy—pyproject.toml
PyPIscikit-image—pyproject.toml
PyPIscikit-learn—pyproject.toml
All dependencies 318

Full resolved dependency set from the GitHub dependency graph: 23 direct and 295 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIloop-common—direct
PyPIloop-common0.0.2direct
PyPIloop-interpolation0.0.2direct
PyPInumpy—direct
PyPInumpy2.0.2direct
PyPInumpy2.2.6direct
PyPInumpy2.4.6direct
PyPIpandas—direct
PyPIpandas2.3.3direct
PyPIpandas3.0.5direct
PyPIscikit-image—direct
PyPIscikit-image0.24.0direct
PyPIscikit-image0.25.2direct
PyPIscikit-image0.26.0direct
PyPIscikit-learn—direct
PyPIscikit-learn1.6.1direct
PyPIscikit-learn1.7.2direct
PyPIscikit-learn1.9.0direct
PyPIscipy—direct
PyPIscipy1.13.1direct
PyPIscipy1.15.3direct
PyPIscipy1.17.1direct
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PyPIaiohappyeyeballs2.6.1indirect
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PyPIaiohttp3.13.5indirect
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PyPIaiosignal1.4.0indirect
PyPIalabaster0.7.16indirect
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PyPIannotated-types0.7.0indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.12.1indirect
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PyPIappdirs1.4.4indirect
PyPIargon2-cffi25.1.0indirect
PyPIargon2-cffi-bindings25.1.0indirect
PyPIarrow1.4.0indirect
PyPIasttokens3.0.2indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIbeartype—indirect
PyPIbeartype0.22.2indirect
PyPIbeartype0.22.9indirect
PyPIbeautifulsoup44.15.0indirect
PyPIbeautifulsoup44.6.3indirect
PyPIbleach6.2.0indirect
PyPIbleach6.4.0indirect
PyPIcertifi2026.7.22indirect
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PyPIdill—indirect
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PyPIfsspec2026.6.0indirect
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PyPIgeopandas—indirect
PyPIgeopandas1.0.1indirect
PyPIgeopandas1.1.4indirect
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PyPIidna3.18indirect
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PyPIloopstructural—indirect
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PyPImap2loop3.5.0indirect
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PyPInetcdf41.7.2indirect
PyPInetcdf41.7.3indirect
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PyPInetworkx—indirect
PyPInetworkx3.2.1indirect
PyPInetworkx3.4.2indirect
PyPInetworkx3.6.1indirect
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PyPIowslib0.31.0indirect
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PyPIpackaging—indirect
PyPIpackaging26.2indirect
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PyPIpybtex0.26.1indirect
PyPIpybtex-docutils1.0.3indirect
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PyPIpycparser3.0indirect
PyPIpydantic—indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
PyPIpydata-sphinx-theme—indirect
PyPIpydata-sphinx-theme0.15.4indirect
PyPIpydata-sphinx-theme0.19.0indirect
PyPIpydata-sphinx-theme0.20.0indirect
PyPIpyevtk—indirect
PyPIpyevtk1.7.0indirect
PyPIpygments2.20.0indirect
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PyPIpyogrio0.13.0indirect
PyPIpyparsing3.3.2indirect
PyPIpyproj3.6.1indirect
PyPIpyproj3.7.1indirect
PyPIpyproj3.7.2indirect
PyPIpytest8.4.2indirect
PyPIpytest9.1.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-json-logger4.0.0indirect
PyPIpython-json-logger4.1.0indirect
PyPIpytz2026.2indirect
PyPIpyvista—indirect
PyPIpyvista0.46.5indirect
PyPIpyvista0.48.4indirect
PyPIpyvista-zstd0.2.4indirect
PyPIpywin32312indirect
PyPIpywinpty3.0.3indirect
PyPIpywinpty3.0.5indirect
PyPIpyyaml—indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIreferencing0.36.2indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.15.1indirect
PyPIrequests2.34.2indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrich15.0.0indirect
PyPIrich-rst2.1.0indirect
PyPIroman-numerals4.1.0indirect
PyPIrpds-py0.27.1indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruff0.16.0indirect
PyPIscooby0.11.0indirect
PyPIscooby0.11.2indirect
PyPIsend2trash2.1.0indirect
PyPIsetuptools—indirect
PyPIshapely—indirect
PyPIshapely2.0.7indirect
PyPIshapely2.1.2indirect
PyPIsimpervisor1.0.0indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsoupsieve2.9indirect
PyPIsphinx—indirect
PyPIsphinx5.3.0indirect
PyPIsphinx8.1.3indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-design—indirect
PyPIsphinx-design0.6.0indirect
PyPIsphinx-design0.6.1indirect
PyPIsphinx-design0.7.0indirect
PyPIsphinx-gallery—indirect
PyPIsphinx-gallery0.19.0indirect
PyPIsphinx-gallery0.21.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-bibtex—indirect
PyPIsphinxcontrib-bibtex2.6.5indirect
PyPIsphinxcontrib-bibtex2.7.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstack-data0.6.3indirect
PyPIterminado0.18.1indirect
PyPIthreadpoolctl3.6.0indirect
PyPItifffile2024.8.30indirect
PyPItifffile2025.5.10indirect
PyPItifffile2026.3.3indirect
PyPItifffile2026.7.14indirect
PyPItinycss21.4.0indirect
PyPItinycss21.5.1indirect
PyPItomli2.4.1indirect
PyPItornado6.5.8indirect
PyPItqdm4.69.0indirect
PyPItraitlets5.15.1indirect
PyPItrame3.12.0indirect
PyPItrame3.13.2indirect
PyPItrame-client3.13.2indirect
PyPItrame-common1.2.4indirect
PyPItrame-server3.11.2indirect
PyPItrame-server3.12.5indirect
PyPItrame-vtk2.11.8indirect
PyPItrame-vuetify3.2.5indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.3indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.8.0indirect
PyPIvtk9.5.2indirect
PyPIvtk9.6.2indirect
PyPIwcwidth0.8.2indirect
PyPIwebcolors24.11.1indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwidgetsnbextension4.0.15indirect
PyPIwslink2.5.0indirect
PyPIwslink2.5.7indirect
PyPIyarl1.22.0indirect
PyPIyarl1.24.5indirect
PyPIzipp3.23.1indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

Installing pypi:LoopStructural@1.8.2 pulls in 50 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

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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.