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Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-17 00:48 UTC

PyCQA / pydocstyle

docstring style checker

PythonMIT★ 1.117 Sterne⑂ 190 Forksseit Jan. 2012archiviertAuf GitHub ansehen ↗

PyCQA/pydocstyle erreicht einen Gesundheitsindex von 19 von 100 und liegt damit im Bereich Kritisch. Am stärksten schneidet es bei Engineering Quality (84/100) ab, am schwächsten bei Security (1/100). Das Repository ist archiviert, weitere Wartung ist daher nicht zu erwarten.

19
gesamt / 100
Kritisch

Software-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.

19
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)
VitalitätCommunity &VerbreitungNachhaltigkeit &GovernanceEngineering-QualitätSicherheitAI Readiness

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.

Abandonment Policy applies a 40% multiplier to weighted overall health and gives it a ceiling of 29.

Eigentümerschaft

1.013 Follower29 öffentliche Reposseit Sept. 2014

Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIpydocstyle6.3.0-22vor 1276 Tagen

Metriken nach Kategorie

Vitalität

Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?

21Kritisch · 22 % des Gesamtindex
Wie die Bewertung erfolgt
0/36Push-Aktualität — letzter Push vor 986 Tagen
0/36Commit-Rhythmus — 0/52 Wochen mit Commits
0/18Commit-Volumen — 0 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — keine Daten
Verwendete Eingangsdaten
commits_last_year0
human_commit_share
days_since_last_push986
active_weeks_last_year0
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 17 Releases veröffentlicht
0/36Release-Aktualität — letztes Release vor 1.276 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 97,6 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count17
latest_release_tag6.3.0
releases_from_tagsnein
days_since_latest_release1.276
mean_days_between_releases97,6

Community & Verbreitung

Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?

63Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
49.4/60Stars — 1.117 Stars
19/25Forks — 190 Forks
0/15Watcher — 2 Watcher
Verwendete Eingangsdaten
forks190
stars1.117
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MIT)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templateja

Nachhaltigkeit & Governance

Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?

61Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
10.9/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 52 % der Commits
13.5/13.5Breite der Beitragenden — 85 Beitragende
0/10OpenSSF Scorecard: Contributors — keine Daten
Verwendete Eingangsdaten
bus_factor1
contributors_sampled85
top_contributor_share0,515
Wie die Bewertung erfolgt
31.1/46.8Issue-Lösungsquote — 67 % der Issues geschlossen
29/38.3PR-Annahme — 235/310 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — keine Daten
Verwendete Eingangsdaten
merged_prs235
open_issues113
closed_issues225
issue_closed_ratio0,666
closed_unmerged_prs75
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
21.6/25Reichweite des Inhabers — 1.013 Follower von PyCQA
22.8/25Kontohistorie — 29 öffentliche Repos, Kontoalter ca. 11 Jahre
Verwendete Eingangsdaten
followers1.013
owner_typeOrganization
is_verified
owner_loginPyCQA
public_repos29
account_age_days4.325

Paketpflege

69Mittel
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
4/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 1.276 Tagen
20/20Versionshistorie — 22 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagespydocstyle
ecosystemspypi
any_deprecatednein
min_days_since_publish1.276

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

84Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 3 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — tox.ini
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — keine Daten
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_confignein

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — http://pydocstyle.org
10/10Repository-Beschreibung
10/10Topics — 3 Topics
0/10Wiki
Verwendete Eingangsdaten
topicspython, linter, docstrings
has_wikinein
homepagehttp://pydocstyle.org
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?

1Kritisch · 16 % des Gesamtindex
Wie die Bewertung erfolgt
0/30Sicherheitsrichtlinie (SECURITY.md)
0/25Dependabot-Konfiguration
0/25Lockfiles für Abhängigkeiten — veröffentlichte Bibliothek — Lockfiles sind Sache der Anwendung, hier nicht erwartet
0/20CodeQL-Workflow
Verwendete Eingangsdaten
sourcefile_signals
lockfilespoetry.lock
manifestspyproject.toml, requirements.txt
has_codeql_workflownein
has_security_policynein
has_dependabot_confignein
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lockfiles für Abhängigkeiten. 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.

50Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
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.
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — Makefile, docs/Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — tox.ini
0/11Statische Typprüfung
10/10Reproduzierbare Umgebung — lockfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
0/10OpenSSF Scorecard: Pinned-Dependencies — keine Daten
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilespoetry.lock
has_dockerfilenein
typed_languagenein
bootstrap_filesMakefile, docs/Makefile
has_devcontainernein
has_linter_configja
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.
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
55/55Handhabbare Dateigrößen — 0/38 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes47.225
source_files_sampled38
oversized_source_files0

Eckdaten

1.117GitHub-Sterne
85Mitwirkende
0Commits, letzte 12 Monate
986Tage seit letztem Push
17Releases
1Bus-Faktor
113offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

Weitere Details

Direkte Abhängigkeiten 3
RegistryPaketVersionsvorgabeManifest
PyPIsnowballstemmer>=2.2.0pyproject.toml
PyPItomli>=1.2.3pyproject.toml
PyPIimportlib-metadata>=2.0.0,<5.0.0pyproject.toml
Alle Abhängigkeiten 18

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 6 direkte und 12 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIimportlib-metadatadirekt
PyPIimportlib-metadata4.8.3direkt
PyPIsnowballstemmerdirekt
PyPIsnowballstemmer2.2.0direkt
PyPItomlidirekt
PyPItomli1.2.3direkt
PyPI-indirekt
PyPIblack22.3indirekt
PyPIisort5.4.2indirekt
PyPIjinja2indirekt
PyPImypy0.930indirekt
PyPIpytest6.2.5indirekt
PyPIsphinxindirekt
PyPIsphinx-rtd-themeindirekt
PyPItoxindirekt
PyPItypes-setuptoolsindirekt
PyPItyping-extensions4.1.1indirekt
PyPIzipp3.6.0indirekt
JSON-Rohbericht maschinenlesbar
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}

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