Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.14.0 · 2026-07-30 22:32 UTC
domdfcoding / enum_tools
Tools to expand Python's enum module.
domdfcoding/enum_tools erreicht einen Gesundheitsindex von 56 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Engineering Quality (85/100) ab, am schwächsten bei Community & Adoption (45/100). Zuletzt vor 21 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
56
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.
56
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
Dominic Davis-FosterPersönliches Konto
50 Follower226 öffentliche Reposseit Juli 2014
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 | enum-tools | 0.13.0 | - | 23 | vor 469 Tagen | documentationenumsphinxsphinx-extension |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
51
Entwicklungsaktivität
51Mittel
Wie die Bewertung erfolgt
| 28.8/36 | Push-Aktualität — letzter Push vor 21 Tagen |
| 5.5/36 | Commit-Rhythmus — 8/52 Wochen mit Commits |
| 11.3/18 | Commit-Volumen — 17 Commits im letzten Jahr |
| 0/10 | OpenSSF Scorecard: Maintained — keine Daten |
Verwendete Eingangsdaten
| commits_last_year | 17 |
| human_commit_share | 0,66 |
| days_since_last_push | 21 |
| active_weeks_last_year | 8 |
Release-Disziplin
52Mittel
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 23 Releases veröffentlicht |
| 7.2/36 | Release-Aktualität — letztes Release vor 468 Tagen |
| 12.6/27 | Release-Rhythmus — ein Release etwa alle 169,9 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 23 |
| latest_release_tag | v0.13.0 |
| releases_from_tags | nein |
| days_since_latest_release | 468 |
| mean_days_between_releases | 169,9 |
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
45
Popularität & Verbreitung
24Kritisch
Wie die Bewertung erfolgt
| 16.2/60 | Stars — 11 Stars |
| 7.5/25 | Forks — 9 Forks |
| 0/15 | Watcher — 1 Watcher |
Verwendete Eingangsdaten
| forks | 9 |
| stars | 11 |
| watchers | 1 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
70Gut
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (LGPL-3.0) |
| 18/18 | 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 | ja |
| 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?
51
Maintainer-Resilienz (Bus-Faktor)
16Kritisch
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 0.3/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 99 % der Commits |
| 5.4/13.5 | Breite der Beitragenden — 4 Beitragende |
| 0/10 | OpenSSF Scorecard: Contributors — keine Daten |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 4 |
| top_contributor_share | 0,986 |
Wie die Bewertung erfolgt
| 25.5/46.8 | Issue-Lösungsquote — 55 % der Issues geschlossen |
| 28.6/38.3 | PR-Annahme — 77/103 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — keine Daten |
Verwendete Eingangsdaten
| merged_prs | 77 |
| open_issues | 10 |
| closed_issues | 12 |
| issue_closed_ratio | 0,545 |
| closed_unmerged_prs | 26 |
Eigentümerschaft & Trägerschaft
59Mittel
Wie die Bewertung erfolgt
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 12.3/25 | Reichweite des Inhabers — 50 Follower von domdfcoding |
| 25/25 | Kontohistorie — 226 öffentliche Repos, Kontoalter ca. 12 Jahre |
Verwendete Eingangsdaten
| followers | 50 |
| owner_type | User |
| is_verified | — |
| owner_login | domdfcoding |
| public_repos | 226 |
| account_age_days | 4.411 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.
Paketpflege
79Gut
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 14/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 469 Tagen |
| 20/20 | Versionshistorie — 23 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | enum-tools |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 469 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
85
Engineering-Praktiken
92Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 7 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — .pylintrc, tox.ini |
| 9.6/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — keine Daten |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | ja |
Dokumentation
75Gut
Wie die Bewertung erfolgt
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://enum-tools.readthedocs.io/en/latest |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 6 Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | python3, enum, sphinx-extension, documentation, python, sphinx |
| has_wiki | ja |
| homepage | https://enum-tools.readthedocs.io/en/latest |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
46
Sicherheitslage
33Gefährdet
Wie die Bewertung erfolgt
| 0/30 | Sicherheitsrichtlinie (SECURITY.md) |
| 25/25 | Dependabot-Konfiguration |
| 0/25 | Lockfiles für Abhängigkeiten — veröffentlichte Bibliothek — Lockfiles sind Sache der Anwendung, hier nicht erwartet |
| 0/20 | CodeQL-Workflow |
Verwendete Eingangsdaten
| source | file_signals |
| lockfiles | — |
| manifests | doc-source/requirements.txt, pyproject.toml, requirements.txt, tests/requirements.txt |
| has_codeql_workflow | nein |
| has_security_policy | nein |
| has_dependabot_config | ja |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lockfiles für Abhängigkeiten. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
100Exzellent
Wie die Bewertung erfolgt
| 35/35 | Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory |
| 25/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory |
| 0/40 | Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum |
Verwendete Eingangsdaten
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 2 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:enum-tools@0.13.0 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 2 Paketen. Erreichbarkeit wird nicht analysiert.
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.
50
AI-Agentenkontext & Leitlinien
3Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 3.2/40 | Lesbare Commit-Historie — 4 von 66 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,061 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — justfile |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration — .pylintrc, tox.ini |
| 11/11 | Statische Typprüfung — enum_tools/py.typed |
| 0/10 | Reproduzierbare Umgebung |
| 0/10 | Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100 |
| 5/8 | Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — keine Daten |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | — |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | justfile |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | enum_tools/py.typed |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Wie die Bewertung erfolgt
| 27/45 | Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (enum_tools/py.typed) |
| 55/55 | Handhabbare Dateigrößen — 0/17 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 20.018 |
| source_files_sampled | 17 |
| oversized_source_files | 0 |
Eckdaten
11GitHub-Sterne
4Mitwirkende
17Commits, letzte 12 Monate
21Tage seit letztem Push
23Releases
1Bus-Faktor
10offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- OpenSSF Scorecard timed out after 240s; skipping Scorecard checks
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 9 ⇿
0Sterne
9Forks
9Releases
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 7Patch 1
Jeder Punkt umfasst 5 Tage.
Alle Abhängigkeiten 42
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 42 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | coincidence | — | indirekt |
| PyPI | coverage | — | indirekt |
| PyPI | coverage-pyver-pragma | — | indirekt |
| PyPI | default-values | — | indirekt |
| PyPI | defusedxml | — | indirekt |
| PyPI | docutils | — | indirekt |
| PyPI | domdf-python-tools | — | indirekt |
| PyPI | domdf-sphinx-theme | — | indirekt |
| PyPI | extras-require | — | indirekt |
| PyPI | html-section | — | indirekt |
| PyPI | html5lib | — | indirekt |
| PyPI | importlib-metadata | — | indirekt |
| PyPI | iniconfig | — | indirekt |
| PyPI | msgpack | — | indirekt |
| PyPI | pygments | — | indirekt |
| PyPI | pytest | — | indirekt |
| PyPI | pytest-cov | — | indirekt |
| PyPI | pytest-randomly | — | indirekt |
| PyPI | pytest-regressions | — | indirekt |
| PyPI | pytest-rerunfailures | — | indirekt |
| PyPI | pytest-timeout | — | indirekt |
| PyPI | roman | — | indirekt |
| PyPI | seed-intersphinx-mapping | — | indirekt |
| PyPI | setuptools | — | indirekt |
| PyPI | sphinx | — | indirekt |
| PyPI | sphinx-copybutton | — | indirekt |
| PyPI | sphinx-debuginfo | — | indirekt |
| PyPI | sphinx-licenseinfo | — | indirekt |
| PyPI | sphinx-notfound-page | — | indirekt |
| PyPI | sphinx-prompt | — | indirekt |
| PyPI | sphinx-pyproject | — | indirekt |
| PyPI | sphinx-toolbox | — | indirekt |
| PyPI | sphinxcontrib-applehelp | 1.0.4 | indirekt |
| PyPI | sphinxcontrib-devhelp | 1.0.2 | indirekt |
| PyPI | sphinxcontrib-htmlhelp | 2.0.1 | indirekt |
| PyPI | sphinxcontrib-httpdomain | — | indirekt |
| PyPI | sphinxcontrib-jsmath | 1.0.1 | indirekt |
| PyPI | sphinxcontrib-qthelp | 1.0.3 | indirekt |
| PyPI | sphinxcontrib-serializinghtml | 1.1.5 | indirekt |
| PyPI | sphinxemoji | — | indirekt |
| PyPI | toctree-plus | — | indirekt |
| PyPI | typing-extensions | — | indirekt |
Abhängigkeits-Advisories 0
Die Installation von pypi:enum-tools@0.13.0 zieht 2 Pakete nach sich, direkt und transitiv: 0 tragen bekannte Advisories, davon 0 direkte Abhängigkeiten.
Keine bekannten Advisories betreffen die bewerteten Abhängigkeiten.
Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.
JSON-Rohbericht maschinenlesbar
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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 v1.14.0, Schema v0.27.0 — vollständige Methodik · Metriken-Wiki.
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