Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-25 15:13 UTC
stub42 / pytz
pytz Python historical timezone library and database
stub42/pytz erreicht einen Gesundheitsindex von 61 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (72/100) ab, am schwächsten bei AI Readiness (45/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
61
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.
61
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
StubPersönliches Konto
22 Follower38 öffentliche Reposseit Nov. 2012
Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht | Tags |
|---|---|---|---|---|---|---|
| PyPI | pytz | 2026.3.post1 | 522.078.760 | 123 | vor 0 Tagen | timezonetzinfodatetimeolsontime |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
72
Entwicklungsaktivität
64Mittel
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 0 Tagen |
| 5.5/36 | Commit-Rhythmus — 8/52 Wochen mit Commits |
| 12.4/18 | Commit-Volumen — 23 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 23 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 23 |
| human_commit_share | 1 |
| days_since_last_push | 0 |
| active_weeks_last_year | 8 |
Release-Disziplin
83Gut
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 9 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 0 Tagen |
| 19.8/27 | Release-Rhythmus — ein Release etwa alle 113,1 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Verwendete Eingangsdaten
| releases_count | 9 |
| latest_release_tag | release_2026.3.post1 |
| releases_from_tags | nein |
| days_since_latest_release | 0 |
| mean_days_between_releases | 113,1 |
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
68
Popularität & Verbreitung
65Mittel
Wie die Bewertung erfolgt
| 42.1/60 | Stars — 393 Stars |
| 16.9/25 | Forks — 108 Forks |
| 6.2/15 | Watcher — 14 Watcher |
Verwendete Eingangsdaten
| forks | 108 |
| stars | 393 |
| watchers | 14 |
| 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 (MIT) |
| 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 |
Ökosystem-Verbreitung (Downloads)
100Exzellent
Wie die Bewertung erfolgt
| 80/80 | Downloads pro Monat — 522.078.760 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | pytz |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 522.078.760 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Abhängige in der Registry. Die verbleibenden Gewichte wurden renormalisiert.
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
60
Maintainer-Resilienz (Bus-Faktor)
36Gefährdet
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 3.6/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 84 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 23 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 29 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 23 |
| top_contributor_share | 0,839 |
Wie die Bewertung erfolgt
| 32.1/46.8 | Issue-Lösungsquote — 69 % der Issues geschlossen |
| 25.8/38.3 | PR-Annahme — 27/40 entschiedene PRs gemergt |
| 3/15 | OpenSSF Scorecard: Code-Review — Found 7/24 approved changesets -- score normalized to 2 |
Verwendete Eingangsdaten
| merged_prs | 27 |
| open_issues | 31 |
| closed_issues | 68 |
| issue_closed_ratio | 0,687 |
| closed_unmerged_prs | 13 |
Eigentümerschaft & Trägerschaft
54Mittel
Wie die Bewertung erfolgt
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 9.8/25 | Reichweite des Inhabers — 22 Follower von stub42 |
| 23.6/25 | Kontohistorie — 38 öffentliche Repos, Kontoalter ca. 13 Jahre |
Verwendete Eingangsdaten
| followers | 22 |
| owner_type | User |
| is_verified | — |
| owner_login | stub42 |
| public_repos | 38 |
| account_age_days | 4.985 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 0 Tagen |
| 20/20 | Versionshistorie — 123 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | pytz |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 0 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
51
Engineering-Praktiken
58Mittel
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 |
| 10/20 | OpenSSF Scorecard: CI-Tests — 4 out of 7 merged PRs checked by a CI test -- score normalized to 5 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | nein |
| has_precommit_config | nein |
Dokumentation
40Gefährdet
Wie die Bewertung erfolgt
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 0/15 | Dokumentations-/Homepage-Site |
| 10/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | nein |
| homepage | — |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
52
Sicherheitslage
52Mittel
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 1.2/2.5 | CI-Tests — 4 out of 7 merged PRs checked by a CI test -- score normalized to 5 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 1.5/7.5 | Code-Review — Found 7/24 approved changesets -- score normalized to 2 |
| 2.5/2.5 | Contributors — project has 29 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 5/5 | Fuzzing — project is fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 23 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 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 |
| 4.5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 18 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 0 |
| scorecard_aggregate | 5,2 |
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.
45
AI-Agentenkontext & Leitlinien
12Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 11.7/40 | Lesbare Commit-Historie — 22 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,22 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — Makefile, tz/Makefile |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 11/11 | Statische Typprüfung — C (statisch typisiert) |
| 0/10 | Reproduzierbare Umgebung |
| 0/10 | Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100 |
| 0/8 | Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet |
| 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 | ja |
| bootstrap_files | Makefile, tz/Makefile |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
AI-Code-Lesbarkeit für Modelle
95Exzellent
Wie die Bewertung erfolgt
| 45/45 | Typprüfbarer Code — C (statisch typisiert) |
| 50.4/55 | Handhabbare Dateigrößen — 2/24 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | C |
| largest_source_bytes | 114.982 |
| source_files_sampled | 24 |
| oversized_source_files | 2 |
Eckdaten
393GitHub-Sterne
23Mitwirkende
23Commits, letzte 12 Monate
0Tage seit letztem Push
9Releases
1Bus-Faktor
31offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- deps.dev does not index pypi:pytz@2026.3.post1; advisories assessed against the repository dependency graph instead
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 108 ⇿
0Sterne
108Forks
7Releases
Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.
Major 0Minor 0Patch 0
Jeder Punkt umfasst 9 Tage.
OpenSSF Scorecard 5.2 / 10
5.2Gesamtwert
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 |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 5 | CI-Tests | 4 out of 7 merged PRs checked by a CI test -- score normalized to 5 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 2 | Code-Review | Found 7/24 approved changesets -- score normalized to 2 |
| 10 | Contributors | project has 29 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 10 | Fuzzing | project is fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 23 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow 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 |
| 9 | Security-Policy | security policy file detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Alle Abhängigkeiten 0
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 0 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|
Abhängigkeits-Advisories nicht bewertet
Der Advisory-Abgleich konnte für diesen Bericht nicht ausgeführt werden: No resolved dependencies to assess
JSON-Rohbericht maschinenlesbar
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],
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}
],
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]
},
{
"key": "community_health",
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"notes": [],
"value": 50,
"inputs": {
"has_readme": true,
"has_license": true,
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{
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},
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{
"key": "registry_dependents",
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],
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},
{
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"note": null,
"notes": [],
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"code": "bus_factor",
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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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]
},
{
"key": "responsiveness",
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"notes": [],
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}
],
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{
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"details": [
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"code": "decided_prs_merged",
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{
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]
},
{
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"notes": [
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},
{
"code": "weights_renormalized",
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],
"value": 54,
"inputs": {
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"components": [
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],
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{
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],
"max_points": 20
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{
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{
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]
},
{
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"notes": [],
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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": 0.2,
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"details": [
{
"code": "ci_workflows",
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{
"key": "tests_present",
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{
"key": "linter_config",
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{
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{
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{
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]
},
{
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"components": [
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{
"key": "wiki",
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"detail": null,
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"status": "missed",
"details": [],
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]
}
],
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"weight": 0.16,
"metrics": [
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"notes": [],
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{
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{
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"status": "met",
"details": [],
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},
{
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"points": 10,
"status": "met",
"details": [],
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},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "no update tool detected",
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"status": "missed",
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},
{
"key": "fuzzing",
"name": "Fuzzing",
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"details": [],
"max_points": 5
},
{
"key": "license",
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"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
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},
{
"key": "maintained",
"name": "Maintained",
"detail": "23 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
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{
"key": "packaging",
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"status": "met",
"details": [],
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{
"key": "pinned_dependencies",
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"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
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{
"key": "sast",
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"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
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"status": "partial",
"details": [],
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},
{
"key": "signed_releases",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
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"status": "missed",
"details": [],
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{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "0 existing vulnerabilities detected",
"points": 7.5,
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]
},
{
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"notes": [
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"code": "jurisdiction_evidence_limits",
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],
"value": 100,
"inputs": {
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"review_only_matches": 0,
"assessed_self_published_locations": 19
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"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",
"band": "at_risk",
"name": "AI Readiness",
"value": 45,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 12,
"inputs": {
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"agent_instruction_files": [],
"agent_instruction_max_bytes": null
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"components": [
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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 v0.27.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.