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Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-28 14:47 UTC

sphinx-toolbox / seed_intersphinx_mapping

Populate the Sphinx 'intersphinx_mapping' dictionary from the project's requirements.

PythonMIT★ 13 Sterne⑂ 3 Forksseit Aug. 2020Auf GitHub ansehen ↗

sphinx-toolbox/seed_intersphinx_mapping erreicht einen Gesundheitsindex von 55 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Engineering Quality (79/100) ab, am schwächsten bei Community & Adoption (43/100). Zuletzt vor 21 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

55
gesamt / 100
Mittel

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.

55
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.

Eigentümerschaft

sphinx-toolboxOrganisation
6 Follower25 öffentliche Reposseit Dez. 2020

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIseed-intersphinx-mapping1.3.0-16vor 244 Tagendocumentationintersphinxsphinx

Metriken nach Kategorie

Vitalität

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

49Gefährdet · 22 % des Gesamtindex
Wie die Bewertung erfolgt
28.8/36Push-Aktualität — letzter Push vor 21 Tagen
5.5/36Commit-Rhythmus — 8/52 Wochen mit Commits
10/18Commit-Volumen — 12 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — 1 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Verwendete Eingangsdaten
commits_last_year12
human_commit_share0,55
days_since_last_push21
active_weeks_last_year8
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 16 Releases veröffentlicht
16.2/36Release-Aktualität — letztes Release vor 244 Tagen
12.6/27Release-Rhythmus — ein Release etwa alle 189,1 Tage
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Verwendete Eingangsdaten
releases_count16
latest_release_tagv1.3.0
releases_from_tagsnein
days_since_latest_release244
mean_days_between_releases189,1

Community & Verbreitung

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

43Gefährdet · 18 % des Gesamtindex
Wie die Bewertung erfolgt
17.5/60Stars — 13 Stars
2.5/25Forks — 3 Forks
0/15Watcher — 1 Watcher
Verwendete Eingangsdaten
forks3
stars13
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MIT)
18/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templatenein

Nachhaltigkeit & Governance

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

47Gefährdet · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
0.5/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 98 % der Commits
4.1/13.5Breite der Beitragenden — 3 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled3
top_contributor_share0,98
Wie die Bewertung erfolgt
0/46.8Issue-Lösungsquote — 0 % der Issues geschlossen
25.8/38.3PR-Annahme — 79/117 entschiedene PRs gemergt
1.5/15OpenSSF Scorecard: Code-Review — Found 2/12 approved changesets -- score normalized to 1
Verwendete Eingangsdaten
merged_prs79
open_issues1
closed_issues0
issue_closed_ratio0
closed_unmerged_prs38
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
6.1/25Reichweite des Inhabers — 6 Follower von sphinx-toolbox
21.6/25Kontohistorie — 25 öffentliche Repos, Kontoalter ca. 5 Jahre
Verwendete Eingangsdaten
followers6
owner_typeOrganization
is_verified
owner_loginsphinx-toolbox
public_repos25
account_age_days2.054

Paketpflege

91Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
26/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 244 Tagen
20/20Versionshistorie — 16 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesseed-intersphinx-mapping
ecosystemspypi
any_deprecatednein
min_days_since_publish244

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

79Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 8 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — .pylintrc, tox.ini
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
8/20OpenSSF Scorecard: CI-Tests — 8 out of 20 merged PRs checked by a CI test -- score normalized to 4
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja
Wie die Bewertung erfolgt
30/30README
0/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://seed_intersphinx_mapping.readthedocs.io/en/latest
10/10Repository-Beschreibung
10/10Topics — 5 Topics
10/10Wiki
Verwendete Eingangsdaten
topicspython, documentation, intersphinx, sphinx, sphinx-extension
has_wikija
homepagehttps://seed_intersphinx_mapping.readthedocs.io/en/latest
has_readmeja
has_docs_dirnein
has_descriptionja

Sicherheit

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

58Mittel · 16 % des Gesamtindex

Sicherheitslage

48Gefährdet
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — keine Daten
1/2.5CI-Tests — 8 out of 20 merged PRs checked by a CI test -- score normalized to 4
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 2/12 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 8 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
0/7.5Maintained — 1 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
4.5/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
5.2/7.5Vulnerabilities — 3 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4,8
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
35/35Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory
25/25Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory
0/40Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum
Verwendete Eingangsdaten
sourceosv
advisories0
affected_packages0
assessed_packages33
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:seed-intersphinx-mapping@1.3.0 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 33 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.

47Gefährdet · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
2.9/40Lesbare Commit-Historie — 3 von 55 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,055
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — justfile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — .pylintrc, tox.ini
11/11Statische Typprüfung — seed_intersphinx_mapping/py.typed
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100
5/8Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfilenein
typed_languagenein
bootstrap_filesjustfile
has_devcontainernein
has_linter_configja
typecheck_configsseed_intersphinx_mapping/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (seed_intersphinx_mapping/py.typed)
55/55Handhabbare Dateigrößen — 0/17 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes6.783
source_files_sampled17
oversized_source_files0

Eckdaten

13GitHub-Sterne
3Mitwirkende
12Commits, letzte 12 Monate
21Tage seit letztem Push
16Releases
1Bus-Faktor
1offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 3 ⇿
0Sterne
3Forks
5Releases

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.

12233312022-012023-082025-03
Major 0Minor 2Patch 3

Jeder Punkt umfasst 3 Tage.

OpenSSF Scorecard 4.8 / 10
4.8Gesamtwert

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).Scorecard v5.5.0 · 2026-07-28 14:47 UTC

10Binary-Artifactsno binaries found in the repo
k. A.Branch-Protectioninternal 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
4CI-Tests8 out of 20 merged PRs checked by a CI test -- score normalized to 4
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 2/12 approved changesets -- score normalized to 1
10Contributorsproject has 8 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained1 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
6Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7Vulnerabilities3 existing vulnerabilities detected
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.

RegistryPaketVersionBeziehung
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PyPIdist-metaindirekt
PyPIdocutilsindirekt
PyPIdomdf-python-toolsindirekt
PyPIextras-requireindirekt
PyPIfuro2021.06.18b36indirekt
PyPIhtml-sectionindirekt
PyPIhtml5libindirekt
PyPIimportlib-metadataindirekt
PyPInumpyindirekt
PyPIpackagingindirekt
PyPIpypi-jsonindirekt
PyPIpytestindirekt
PyPIpytest-covindirekt
PyPIpytest-datafilesindirekt
PyPIpytest-randomlyindirekt
PyPIpytest-timeoutindirekt
PyPIrequestsindirekt
PyPIromanindirekt
PyPIseed-intersphinx-mappingindirekt
PyPIsetuptoolsindirekt
PyPIshippinglabelindirekt
PyPIsphinxindirekt
PyPIsphinx-copybuttonindirekt
PyPIsphinx-debuginfoindirekt
PyPIsphinx-licenseinfoindirekt
PyPIsphinx-notfound-pageindirekt
PyPIsphinx-pyprojectindirekt
PyPIsphinx-toolboxindirekt
PyPIsphinxcontrib-applehelp1.0.4indirekt
PyPIsphinxcontrib-devhelp1.0.2indirekt
PyPIsphinxcontrib-htmlhelp2.0.1indirekt
PyPIsphinxcontrib-jsmath1.0.1indirekt
PyPIsphinxcontrib-qthelp1.0.3indirekt
PyPIsphinxcontrib-serializinghtml1.1.5indirekt
PyPIsphinxemojiindirekt
PyPItoctree-plusindirekt
Abhängigkeits-Advisories 0

Die Installation von pypi:seed-intersphinx-mapping@1.3.0 zieht 33 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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      },
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                "key": "automated_maintenance",
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                ],
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              },
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                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/17 source files over 60KB",
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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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  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-28T14:47:58.869844Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/s/sphinx-toolbox/seed_intersphinx_mapping.svg",
  "full_name": "sphinx-toolbox/seed_intersphinx_mapping",
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}

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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.

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