Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-20 05:37 UTC

wg-lux / endoreg-db

endoreg-db

PythonGPL-3.0★ 0 stars⑂ 1 forksince Feb 2024View on GitHub ↗
KindLibraryNetwork servicehow this is determined

wg-lux/endoreg-db holds a health index of 47 out of 100, placing it in the Weak band. It scores highest on Engineering Quality (66/100) and lowest on Security (5/100). It was last updated 4 days ago. A single contributor accounts for most of its recent work.

47
overall / 100
Weak

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.

47
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 48 is calibrated to 47 on the published index scale (record calibration 2026-08-02).

Ownership

AG-LuxOrganization
6 followers37 public repossince May 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIendoreg-db1.5.75,4714064 days ago

Metrics by category

Vitality

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

58Moderate · 21% of overall
How it's scored
36/36Push recency — last push 4 days ago
2.8/36Commit cadence — 4/52 weeks with commits
16.7/18Commit volume — 72 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year72
human_commit_share0.99
days_since_last_push4
active_weeks_last_year4
How it's scored
27/27Ships releases — 1 releases published
7.2/36Release recency — latest release 446 days ago
12.6/27Release cadence — cadence unknown (single release)
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count1
latest_release_tagprototype-release
releases_from_tagsno
days_since_latest_release446
mean_days_between_releases—

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

33At Risk · 17% of overall
How it's scored
0/60Stars — 0 stars
0/25Forks — 1 forks
0/15Watchers — 2 watchers
Inputs used
forks1
stars0
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (GPL-3.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno
How it's scored
49.8/80Monthly downloads — 5,471 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesendoreg-db
dependents—
ecosystemspypi
total_downloads—
monthly_downloads5,471
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?

63Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
10.6/22.5Commit distribution — top contributor authored 53% of commits
5.4/13.5Contributor breadth — 4 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled4
top_contributor_share0.527
How it's scored
37.3/42Issue resolution — 89% of issues closed
24.5/30PR acceptance — 93/114 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs93
open_issues22
closed_issues174
prs_merged_7d0
prs_decided_7d0
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio0.888
closed_unmerged_prs21
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.
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
6.1/25Owner reach — 6 followers of wg-lux
18.3/25Track record — 37 public repos, account ~3 yr old
Inputs used
followers6
owner_typeOrganization
is_verifiedno
owner_loginwg-lux
public_repos37
account_age_days1,250

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 4 days ago
20/20Version history — 406 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesendoreg-db
ecosystemspypi
any_deprecatedno
min_days_since_publish4

Engineering Quality

Are baseline engineering and documentation practices in place?

66Good · 19% of overall
How it's scored
0/24CI workflows
24/24Tests present
16/16Linter config — .pylintrc, ruff.toml
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_cino
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://info.coloreg.de
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_sitehttps://info.coloreg.de
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

5Critical · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles — published library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfilesuv.lock
manifestspyproject.toml, requirements-cpu.txt, requirements-gpu.txt
has_codeql_workflowno
has_security_policyno
has_dependabot_configno
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.
How it's scored
2.8/35Direct dependencies free of known advisories — 9 affected: django 5.1.4 (critical 9.8), pillow 11.0.0 (critical 9.1), torch 2.5.1 (critical 9.8), +6 more
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
14.3/40No advisories left outstanding — 8 advisory-carrying package(s) unaddressed past 90 days; oldest published 696 days ago
Inputs used
sourceosv
advisories288
affected_packages17
assessed_packages83
unassessed_packages49
affected_by_severitycritical 7, high 6, moderate 4
direct_affected_packages9
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 83 resolved dependencies against OSV. 49 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. 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.

59Moderate · 4% of overall
How it's scored
45/45Agent instructions — .github/copilot-instructions.md
0/15Machine-readable docs (llms.txt)
6.5/40Legible commit history — 12 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.121
agent_instruction_files.github/copilot-instructions.md
agent_instruction_max_bytes5,150
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — .pylintrc, ruff.toml
0/11Static type checking
10/10Reproducible environment — lockfile
6/10Demonstrated agent practice — 3 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.03
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
54.8/55Manageable file sizes — 3/729 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes374,203
source_files_sampled729
oversized_source_files3
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

0GitHub stars
4contributors
72commits, last 12 months
4days since last push
1releases
1bus factor
22open issues
PyPIpackage ecosystems

Data collection warnings

  • OpenSSF Scorecard did not return a usable result (killed by SIGKILL — most likely the container's memory limit; 2026/10/20 05:36:56 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks

More detail

Direct dependencies 60
RegistryPackageVersion constraintManifest
PyPIagl-report-reader>=0.4.0pyproject.toml
PyPIdjango-bootstrap5>=25.2pyproject.toml
PyPIdjango-cors-headers>=4.8.0pyproject.toml
PyPIdjango-extensions>=3.2.3pyproject.toml
PyPIdjango>=5.2.4pyproject.toml
PyPIdjangorestframework>=3.16.1pyproject.toml
PyPIdotenv>=0.9.9pyproject.toml
PyPIfaker>=37.6.0pyproject.toml
PyPIicecream>=2.1.4pyproject.toml
PyPInumpy>=2.2.3pyproject.toml
PyPIopencv-python>=4.11.0.86pyproject.toml
PyPIpandas>=2.2.3pyproject.toml
PyPIpillow>=11.3.0pyproject.toml
PyPIpydantic>=2.10.6pyproject.toml
PyPIpytesseract>=0.3.13pyproject.toml
PyPIpytest>=8.3.5pyproject.toml
PyPIpython-ffmpeg>=2.0.12pyproject.toml
PyPIpytorch-lightning>=2.5.1pyproject.toml
PyPIpyyaml>=6.0.2pyproject.toml
PyPIregex>=2024.11.6pyproject.toml
PyPIscikit-learn>=1.5.2pyproject.toml
PyPIscipy>=1.16.1pyproject.toml
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PyPIsphinx>=8.2.3pyproject.toml
PyPItesseract>=0.1.3pyproject.toml
PyPIllvmlite>=0.44.0pyproject.toml
PyPItqdm>=4.67.0pyproject.toml
PyPIurllib3>=2.2.3pyproject.toml
PyPIpytest-django>=4.11.1pyproject.toml
PyPIpytest-cov>=6.1.1pyproject.toml
PyPIpytest-env>=1.1.5pyproject.toml
PyPIopenpyxl>=3.1.5pyproject.toml
PyPIpyjwt>=2.10.1pyproject.toml
PyPIcryptography>=44.0.2pyproject.toml
PyPImypy>=1.16.0pyproject.toml
PyPIwhitenoise>=6.10.0pyproject.toml
PyPIrequests>=2.32.3pyproject.toml
PyPIgunicorn>=23.0.0pyproject.toml
PyPIdjango-filter>=25.1pyproject.toml
PyPIoptimum==1.26.1pyproject.toml
PyPItorch==2.5.1pyproject.toml
PyPItorchaudio==2.5.1pyproject.toml
PyPItorchvision==0.20.1pyproject.toml
PyPItransformers==4.44.2pyproject.toml
PyPIlibrosa==0.11.0pyproject.toml
PyPIsoundfile==0.12.1pyproject.toml
PyPIvector-quantize-pytorch==1.18.5pyproject.toml
PyPIvocos==0.1.0pyproject.toml
PyPIdecord==0.6.0pyproject.toml
PyPImoviepy==2.2.1pyproject.toml
PyPIsafetensors>=0.4.5pyproject.toml
PyPIcelery>=5.5.3pyproject.toml
PyPIpython-magic>=0.4.27pyproject.toml
PyPIdjango-modeltranslation>=0.19.16pyproject.toml
PyPIpip>=25.2pyproject.toml
PyPIlx-anonymizer>=0.8.8pyproject.toml
PyPIruff>=0.14.0pyproject.toml
PyPIbuild>=1.3.0pyproject.toml
PyPIflake8>=7.3.0pyproject.toml
PyPItwine>=6.2.0pyproject.toml
All dependencies 132

Full resolved dependency set from the GitHub dependency graph: 80 direct and 52 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIagl-report-reader—direct
PyPIagl-report-reader0.4.0direct
PyPIbuild—direct
PyPIcelery—direct
PyPIcryptography—direct
PyPIcryptography44.0.0direct
PyPIdecord0.6.0direct
PyPIdjango—direct
PyPIdjango5.1.4direct
PyPIdjango-bootstrap5—direct
PyPIdjango-bootstrap524.3direct
PyPIdjango-cors-headers—direct
PyPIdjango-extensions—direct
PyPIdjango-filter—direct
PyPIdjango-modeltranslation—direct
PyPIdjangorestframework—direct
PyPIdjangorestframework3.15.2direct
PyPIdotenv—direct
PyPIfaker—direct
PyPIfaker33.1.0direct
PyPIflake8—direct
PyPIgunicorn—direct
PyPIicecream—direct
PyPIlibrosa0.11.0direct
PyPIllvmlite—direct
PyPIlx-anonymizer—direct
PyPImoviepy2.2.1direct
PyPImypy—direct
PyPInumpy—direct
PyPInumpy2.2.1direct
PyPIopencv-python—direct
PyPIopencv-python4.10.0.84direct
PyPIopenpyxl—direct
PyPIoptimum1.26.1direct
PyPIpandas—direct
PyPIpandas2.2.3direct
PyPIpillow—direct
PyPIpillow11.0.0direct
PyPIpip—direct
PyPIpydantic—direct
PyPIpyjwt—direct
PyPIpytesseract—direct
PyPIpytesseract0.3.13direct
PyPIpytest—direct
PyPIpytest-cov—direct
PyPIpytest-django—direct
PyPIpytest-env—direct
PyPIpython-ffmpeg—direct
PyPIpython-magic—direct
PyPIpytorch-lightning—direct
PyPIpytorch-lightning2.5.0.post0direct
PyPIpyyaml—direct
PyPIpyyaml6.0.2direct
PyPIregex—direct
PyPIrequests—direct
PyPIruff—direct
PyPIruff0.8.6direct
PyPIsafetensors—direct
PyPIscikit-learn—direct
PyPIscikit-learn1.6.0direct
PyPIscipy—direct
PyPIscipy1.14.1direct
PyPIsoundfile0.12.1direct
PyPIsphinx—direct
PyPIsphinx-rtd-theme—direct
PyPItesseract—direct
PyPItorch2.5.1direct
PyPItorch2.5.1+cu117direct
PyPItorchaudio2.5.1direct
PyPItorchvision0.20.1direct
PyPItorchvision0.20.1+cu117direct
PyPItqdm—direct
PyPItqdm4.67.1direct
PyPItransformers4.44.2direct
PyPItwine—direct
PyPIurllib3—direct
PyPIurllib32.3.0direct
PyPIvector-quantize-pytorch1.18.5direct
PyPIvocos0.1.0direct
PyPIwhitenoise—direct
PyPIaiohappyeyeballs2.4.4indirect
PyPIaiohttp3.11.11indirect
PyPIaiosignal1.3.2indirect
PyPIasgiref3.8.1indirect
PyPIattrs24.3.0indirect
PyPIblack24.10.0indirect
PyPIcffi1.17.1indirect
PyPIcharset-normalizer3.4.1indirect
PyPIffmpeg-python0.2.0indirect
PyPIfilelock3.16.1indirect
PyPIfrozenlist1.5.0indirect
PyPIfsspec2024.12.0indirect
PyPIfuture1.0.0indirect
PyPIgender-guesser0.4.0indirect
PyPIidna3.10indirect
PyPIisort5.12.0indirect
PyPIjinja23.1.5indirect
PyPIjoblib1.4.2indirect
PyPIlightning-utilities0.11.9indirect
PyPImarkupsafe3.0.2indirect
PyPImpmath1.3.0indirect
PyPImultidict6.1.0indirect
PyPInetworkx3.4.2indirect
PyPInvidia-cublas-cu1212.4.5.8indirect
PyPInvidia-cuda-cupti-cu1212.4.127indirect
PyPInvidia-cuda-nvrtc-cu1212.4.127indirect
PyPInvidia-cuda-runtime-cu1212.4.127indirect
PyPInvidia-cudnn-cu129.1.0.70indirect
PyPInvidia-cufft-cu1211.2.1.3indirect
PyPInvidia-curand-cu1210.3.5.147indirect
PyPInvidia-cusolver-cu1211.6.1.9indirect
PyPInvidia-cusparse-cu1212.3.1.170indirect
PyPInvidia-nccl-cu122.21.5indirect
PyPInvidia-nvjitlink-cu1212.4.127indirect
PyPInvidia-nvtx-cu1212.4.127indirect
PyPIpackaging24.2indirect
PyPIpdfminer-six20231228indirect
PyPIpdfplumber0.11.4indirect
PyPIpropcache0.2.1indirect
PyPIpycparser2.22indirect
PyPIpypdfium24.30.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpytz2024.2indirect
PyPIsix1.17.0indirect
PyPIsqlparse0.5.3indirect
PyPIsympy1.13.1indirect
PyPIthreadpoolctl3.5.0indirect
PyPItorchmetrics1.6.1indirect
PyPItriton3.1.0indirect
PyPItyping-extensions4.12.2indirect
PyPItzdata2024.2indirect
PyPIyarl1.18.3indirect
Dependency advisories 17

This repository publishes no package the index resolves, so its own dependency graph was assessed — 83 packages, which also include development and test pins that never ship: 17 carry known advisories, of which 9 are direct. 49 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
django5.1.4directcritical346.1.1
pillow11.0.0directcritical3412.3.0
torch2.5.1directcritical222.13.0
torch2.5.1+cu117directcritical222.13.0
transformers4.44.2directcritical445.10.0
aiohttp3.11.11indirectcritical693.14.4
black24.10.0indirectcritical326.3.1
cryptography44.0.0directhigh1250.0.0
pytorch-lightning2.5.0.post0directhigh32.6.6
urllib32.3.0directhigh162.8.0
fsspec2024.12.0indirecthigh22026.6.0
pdfminer-six20231228indirecthigh420251230
sqlparse0.5.3indirecthigh110.6.0
djangorestframework3.15.2directmoderate43.17.2
filelock3.16.1indirectmoderate43.20.3
idna3.10indirectmoderate23.15
jinja23.1.5indirectmoderate23.1.6

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.