Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-16 12:08 UTC
blue-marble / gridpath
A versatile simulation and optimization platform for power-system planning and operations.
blue-marble/gridpath erreicht einen Gesundheitsindex von 68 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (93/100) ab, am schwächsten bei AI Readiness (34/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
68
gesamt / 100Software-Gesundheitsindex
Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.
68
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
Bewertungsprofil
Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.
Eigentümerschaft
Sylvan Energy AnalyticsOrganisation
2 Follower1 öffentliches Reposeit Sept. 2024
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht | Tags |
|---|---|---|---|---|---|---|
| PyPI | GridPath | 2026.6.0 | - | 25 | vor 5 Tagen | energyelectricitypowerrenewablesplanningoperations |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
93
Entwicklungsaktivität
89Exzellent
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 0 Tagen |
| 24.9/36 | Commit-Rhythmus — 36/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 124 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 124 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 36 |
Release-Disziplin
100Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 47 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 5 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 29,2 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 47 |
| latest_release_tag | v2026.6.0 |
| releases_from_tags | nein |
| days_since_latest_release | 5 |
| mean_days_between_releases | 29,2 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
53
Popularität & Verbreitung
56Mittel
Wie die Bewertung erfolgt
| 34.6/60 | Stars — 136 Stars |
| 15.1/25 | Forks — 66 Forks |
| 5.8/15 | Watcher — 12 Watcher |
Verwendete Eingangsdaten
| forks | 66 |
| stars | 136 |
| watchers | 12 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
50Mittel
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (Apache-2.0) |
| 0/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | nein |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
59
Maintainer-Resilienz (Bus-Faktor)
37Gefährdet
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 4.5/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 80 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 15 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 15 |
| top_contributor_share | 0,798 |
Wie die Bewertung erfolgt
| 40/46.8 | Issue-Lösungsquote — 86 % der Issues geschlossen |
| 32.1/38.3 | PR-Annahme — 871/1.037 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/27 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 871 |
| open_issues | 50 |
| closed_issues | 295 |
| issue_closed_ratio | 0,855 |
| closed_unmerged_prs | 166 |
Eigentümerschaft & Trägerschaft
39Gefährdet
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 3.4/25 | Reichweite des Inhabers — 2 Follower von sylvan-energy |
| 5.9/25 | Kontohistorie — 1 öffentliche Repos, Kontoalter ca. 1 Jahre |
Verwendete Eingangsdaten
| followers | 2 |
| owner_type | Organization |
| is_verified | — |
| owner_login | sylvan-energy |
| public_repos | 1 |
| account_age_days | 672 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 5 Tagen |
| 20/20 | Versionshistorie — 25 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | GridPath |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 5 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
81
Engineering-Praktiken
68Mittel
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 2 Workflow(s) |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 25 out of 25 merged PRs checked by a CI test -- score normalized to 10 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | nein |
| has_precommit_config | nein |
Dokumentation
100Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://gridpath.io |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 10 Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | energy, electricity, power, renewables, renewable-energy, planning, power-systems, power-system-simulation, power-system-analysis, optimization |
| has_wiki | ja |
| homepage | https://gridpath.io |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
45
Sicherheitslage
45Gefährdet
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — keine Daten |
| 2.5/2.5 | CI-Tests — 25 out of 25 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/27 approved changesets -- score normalized to 0 |
| 2.5/2.5 | Contributors — project has 4 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — keine Daten |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — keine Daten |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 6/7.5 | Vulnerabilities — 2 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 4,5 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
AI Readiness
Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.
34
AI-Agentenkontext & Leitlinien
1Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 0/40 | Lesbare Commit-Historie — keine Daten |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
AI-Verify-Loop (Build / Test / Typprüfung)
49Gefährdet
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — doc/Makefile |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 0/11 | Statische Typprüfung |
| 0/10 | Reproduzierbare Umgebung |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 0/8 | Automatisierte Wartung — keine Daten |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | — |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | doc/Makefile |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis, Automatisierte Wartung. Die verbleibenden Gewichte wurden renormalisiert.
AI-Code-Lesbarkeit für Modelle
55Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 54.7/55 | Handhabbare Dateigrößen — 5/931 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 185.117 |
| source_files_sampled | 931 |
| oversized_source_files | 5 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples |
Verwendete Eingangsdaten
| example_dirs | examples |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
136GitHub-Sterne
15Mitwirkende
124Commits, letzte 12 Monate
0Tage seit letztem Push
47Releases
1Bus-Faktor
50offene Issues
PyPIPaket-Ökosysteme
Weitere Details
OpenSSF Scorecard 4.5 / 10
4.5Gesamtwert
Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).
| 10 | Binary-Artifacts | no binaries found in the repo |
| k. A. | Branch-Protection | internal 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 |
| 10 | CI-Tests | 25 out of 25 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/27 approved changesets -- score normalized to 0 |
| 10 | Contributors | project has 4 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10 |
| k. A. | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| k. A. | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 8 | Vulnerabilities | 2 existing vulnerabilities detected |
Alle Abhängigkeiten 91
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 91 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | alabaster | 0.7.16 | indirekt |
| PyPI | annotated-doc | 0.0.4 | indirekt |
| PyPI | asttokens | 3.0.1 | indirekt |
| PyPI | attrs | 26.1.0 | indirekt |
| PyPI | babel | 2.18.0 | indirekt |
| PyPI | black | 26.5.1 | indirekt |
| PyPI | bokeh | 3.8.0 | indirekt |
| PyPI | certifi | 2026.6.17 | indirekt |
| PyPI | charset-normalizer | 3.4.9 | indirekt |
| PyPI | click | 8.4.2 | indirekt |
| PyPI | contourpy | 1.3.3 | indirekt |
| PyPI | coverage | 7.15.0 | indirekt |
| PyPI | coveralls | 4.1.0 | indirekt |
| PyPI | decorator | 5.3.1 | indirekt |
| PyPI | df2img | 0.2.21 | indirekt |
| PyPI | dill | 0.3.8 | indirekt |
| PyPI | docutils | 0.20.1 | indirekt |
| PyPI | duckdb | 1.4.0 | indirekt |
| PyPI | executing | 2.2.1 | indirekt |
| PyPI | fastjsonschema | 2.21.2 | indirekt |
| PyPI | gridpath | 2026.6.0 | indirekt |
| PyPI | gurobipy | 13.0.2 | indirekt |
| PyPI | highspy | 1.15.1 | indirekt |
| PyPI | idna | 3.18 | indirekt |
| PyPI | imagesize | 2.0.0 | indirekt |
| PyPI | ipython | 9.15.0 | indirekt |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirekt |
| PyPI | jedi | 0.20.0 | indirekt |
| PyPI | jinja2 | 3.1.6 | indirekt |
| PyPI | jsonschema | 4.26.0 | indirekt |
| PyPI | jsonschema-specifications | 2025.9.1 | indirekt |
| PyPI | jupyter-core | 5.9.1 | indirekt |
| PyPI | kaleido | 0.2.1 | indirekt |
| PyPI | markdown-it-py | 4.2.0 | indirekt |
| PyPI | markupsafe | 3.0.3 | indirekt |
| PyPI | matplotlib-inline | 0.2.2 | indirekt |
| PyPI | mdurl | 0.1.2 | indirekt |
| PyPI | mypy-extensions | 1.1.0 | indirekt |
| PyPI | narwhals | 2.23.0 | indirekt |
| PyPI | nbformat | 5.10.4 | indirekt |
| PyPI | networkx | 3.4.2 | indirekt |
| PyPI | networkx | 3.5.0 | indirekt |
| PyPI | nose | 1.3.7 | indirekt |
| PyPI | numpy | 2.5.1 | indirekt |
| PyPI | packaging | 26.2 | indirekt |
| PyPI | pandas | 2.3.2 | indirekt |
| PyPI | parso | 0.8.7 | indirekt |
| PyPI | pathspec | 1.1.1 | indirekt |
| PyPI | pexpect | 4.9.0 | indirekt |
| PyPI | pillow | 12.3.0 | indirekt |
| PyPI | platformdirs | 4.10.0 | indirekt |
| PyPI | plotly | 6.9.0 | indirekt |
| PyPI | ply | 3.11 | indirekt |
| PyPI | prompt-toolkit | 3.0.52 | indirekt |
| PyPI | pscript | 0.8.0 | indirekt |
| PyPI | psutil | 7.2.2 | indirekt |
| PyPI | ptyprocess | 0.7.0 | indirekt |
| PyPI | pure-eval | 0.2.3 | indirekt |
| PyPI | pygments | 2.20.0 | indirekt |
| PyPI | pyomo | 6.9.4 | indirekt |
| PyPI | python-dateutil | 2.9.0.post0 | indirekt |
| PyPI | pytokens | 0.4.1 | indirekt |
| PyPI | pytz | 2026.2 | indirekt |
| PyPI | pyutilib | 6.0.0 | indirekt |
| PyPI | pyyaml | 6.0.3 | indirekt |
| PyPI | referencing | 0.37.0 | indirekt |
| PyPI | requests | 2.34.2 | indirekt |
| PyPI | rich | 15.0.0 | indirekt |
| PyPI | rpds-py | 2026.6.3 | indirekt |
| PyPI | shellingham | 1.5.4 | indirekt |
| PyPI | six | 1.17.0 | indirekt |
| PyPI | snowballstemmer | 3.1.1 | indirekt |
| PyPI | sphinx | 7.2.6 | indirekt |
| PyPI | sphinx-argparse | 0.4.0 | indirekt |
| PyPI | sphinx-rtd-theme | — | indirekt |
| PyPI | sphinx-rtd-theme | 3.1.0 | indirekt |
| PyPI | sphinxcontrib-applehelp | 2.0.0 | indirekt |
| PyPI | sphinxcontrib-devhelp | 2.0.0 | indirekt |
| PyPI | sphinxcontrib-htmlhelp | 2.1.0 | indirekt |
| PyPI | sphinxcontrib-jquery | 4.1 | indirekt |
| PyPI | sphinxcontrib-jsmath | 1.0.1 | indirekt |
| PyPI | sphinxcontrib-qthelp | 2.0.0 | indirekt |
| PyPI | sphinxcontrib-serializinghtml | 2.0.0 | indirekt |
| PyPI | stack-data | 0.6.3 | indirekt |
| PyPI | tornado | 6.5.7 | indirekt |
| PyPI | traitlets | 5.15.1 | indirekt |
| PyPI | typer | 0.26.8 | indirekt |
| PyPI | tzdata | 2026.3 | indirekt |
| PyPI | urllib3 | 2.7.0 | indirekt |
| PyPI | wcwidth | 0.8.2 | indirekt |
| PyPI | xyzservices | 2026.3.0 | indirekt |
JSON-Rohbericht maschinenlesbar
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"energy",
"electricity",
"power",
"renewables",
"renewable-energy",
"planning",
"power-systems",
"power-system-simulation",
"power-system-analysis",
"optimization"
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},
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{
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"maintainers_count": null,
"monthly_downloads": null,
"first_published_at": "2023-10-30T21:59:07.313491Z",
"latest_published_at": "2026-07-11T00:10:05.375531Z",
"latest_version_yanked": null,
"days_since_latest_publish": 5
}
]
},
"popularity": {
"forks": 66,
"stars": 136,
"watchers": 12,
"open_issues_and_prs": 57
},
"ai_readiness": {
"has_nix": false,
"example_dirs": [
"examples"
],
"has_llms_txt": false,
"has_dockerfile": false,
"has_mcp_signal": false,
"bootstrap_files": [
"doc/Makefile"
],
"api_schema_files": [],
"has_devcontainer": false,
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"notes": [
{
"code": "excluded_no_data",
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{
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],
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"count": 47
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}
],
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{
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{
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{
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],
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]
},
{
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"note": null,
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"cap": null,
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],
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]
}
],
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{
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"name": "Community & Adoption",
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"weight": 0.18,
"metrics": [
{
"key": "popularity",
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"name": "Popularity & adoption",
"note": null,
"notes": [],
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],
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{
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{
"code": "forks",
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}
],
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{
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{
"code": "watchers",
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]
},
{
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{
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{
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{
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{
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{
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{
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],
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{
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"weight": 0.24,
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"key": "maintainer_resilience",
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"note": null,
"notes": [],
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{
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{
"code": "top_contributor_share",
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{
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{
"key": "openssf_scorecard_contributors",
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]
},
{
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"notes": [],
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"components": [
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}
],
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{
"key": "pr_acceptance",
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"status": "partial",
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{
"key": "openssf_scorecard_code_review",
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]
},
{
"key": "stewardship",
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"notes": [],
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"inputs": {
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"is_verified": null,
"owner_login": "sylvan-energy",
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"account_age_days": 672
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"components": [
{
"key": "ownership_backing",
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"details": [
{
"code": "owner_organization",
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}
],
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{
"key": "verified_domain",
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"status": "missed",
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{
"key": "owner_reach",
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"status": "partial",
"details": [
{
"code": "owner_followers",
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],
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{
"key": "track_record",
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"status": "partial",
"details": [
{
"code": "public_repos",
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},
{
"code": "account_age_years",
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}
],
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]
},
{
"key": "package_maintenance",
"band": "excellent",
"name": "Package maintenance",
"note": null,
"notes": [],
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"inputs": {
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"ecosystems": "pypi",
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"components": [
{
"key": "published_resolvable",
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"status": "met",
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"code": "packages_published",
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"ecosystems": "pypi"
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}
],
"max_points": 25
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{
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"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
"days": 5
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}
],
"max_points": 35
},
{
"key": "version_history",
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"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
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"count": 25
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}
],
"max_points": 20
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{
"key": "not_deprecated",
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"code": "package_not_deprecated",
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],
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]
}
],
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},
{
"key": "engineering",
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"name": "Engineering Quality",
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"weight": 0.2,
"metrics": [
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"key": "engineering_practices",
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"name": "Engineering practices",
"note": null,
"notes": [],
"value": 68,
"inputs": {
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"details": [
{
"code": "ci_workflows",
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}
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{
"key": "tests_present",
"name": "Tests present",
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"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
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{
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{
"key": "editorconfig",
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{
"key": "openssf_scorecard_ci_tests",
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"max_points": 20
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]
},
{
"key": "documentation",
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"notes": [],
"value": 100,
"inputs": {
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"renewables",
"renewable-energy",
"planning",
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"components": [
{
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{
"key": "documentation_directory",
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{
"key": "documentation_homepage_site",
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{
"key": "repository_description",
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"points": 10,
"status": "met",
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{
"key": "topics",
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{
"key": "wiki",
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}
]
}
],
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{
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"notes": [
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"code": "excluded_no_data",
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{
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],
"value": 45,
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{
"key": "branch_protection",
"name": "Branch-Protection",
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{
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"name": "CII-Best-Practices",
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"status": "missed",
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},
{
"key": "code_review",
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"status": "missed",
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{
"key": "contributors",
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"status": "met",
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},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
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},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "no update tool detected",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "fuzzing",
"name": "Fuzzing",
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"status": "missed",
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},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
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},
{
"key": "maintained",
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"points": 7.5,
"status": "met",
"details": [],
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},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow not detected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
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],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is not run on all commits -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
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"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
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"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
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"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "2 existing vulnerabilities detected",
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"status": "partial",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
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"name": "High-Risk Jurisdiction Exposure",
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"notes": [
{
"code": "jurisdiction_evidence_limits",
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}
],
"value": 100,
"inputs": {
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"exposures": [],
"policy_countries": [
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"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
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"status": "met",
"details": [
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"code": "jurisdiction_no_match",
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}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
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"name": "AI Readiness",
"value": 34,
"weight": 0,
"metrics": [
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"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
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"code": "excluded_no_data",
"params": {
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}
},
{
"code": "weights_renormalized",
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],
"value": 1,
"inputs": {
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"legible_history_share": null,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
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"key": "agent_instructions",
"name": "Agent instructions",
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"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
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"code": "no_data",
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],
"max_points": 40
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]
},
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"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
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}Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.
Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.11.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.