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Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-17 00:19 UTC

kislyuk / argcomplete

Python and tab completion, better together.

PythonApache-2.0★ 1.573 Sterne⑂ 147 Forksseit Nov. 2012Auf GitHub ansehen ↗

kislyuk/argcomplete erreicht einen Gesundheitsindex von 66 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Community & Adoption (81/100) ab, am schwächsten bei AI Readiness (43/100). Zuletzt vor 16 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

66
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.

66
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

Andrey KislyukPersönliches Konto
383 Follower132 öffentliche Reposseit Juni 2011@openai

Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIargcomplete3.7.0-137vor 16 Tagen

Metriken nach Kategorie

Vitalität

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

63Mittel · 22 % des Gesamtindex
Wie die Bewertung erfolgt
28.8/36Push-Aktualität — letzter Push vor 16 Tagen
2.1/36Commit-Rhythmus — 3/52 Wochen mit Commits
10.6/18Commit-Volumen — 14 Commits im letzten Jahr
8/10OpenSSF Scorecard: Maintained — 9 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 8
Verwendete Eingangsdaten
commits_last_year14
human_commit_share
days_since_last_push16
active_weeks_last_year3
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 59 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 16 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 82,7 Tage
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Verwendete Eingangsdaten
releases_count59
latest_release_tagv3.7.0
releases_from_tagsnein
days_since_latest_release16
mean_days_between_releases82,7

Community & Verbreitung

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

81Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
51.9/60Stars — 1.573 Stars
18/25Forks — 147 Forks
8/15Watcher — 29 Watcher
Verwendete Eingangsdaten
forks147
stars1.573
watchers29
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (Apache-2.0)
18/18CONTRIBUTING-Leitfaden
13.5/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductja
has_pull_request_templatenein

Nachhaltigkeit & Governance

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

66Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
5.3/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 76 % der Commits
13.5/13.5Breite der Beitragenden — 76 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 32 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled76
top_contributor_share0,765
Wie die Bewertung erfolgt
36.3/46.8Issue-Lösungsquote — 78 % der Issues geschlossen
30.4/38.3PR-Annahme — 193/243 entschiedene PRs gemergt
3/15OpenSSF Scorecard: Code-Review — Found 7/30 approved changesets -- score normalized to 2
Verwendete Eingangsdaten
merged_prs193
open_issues68
closed_issues235
issue_closed_ratio0,776
closed_unmerged_prs50
Wie die Bewertung erfolgt
10/30Organisatorische Trägerschaft — persönliches (Nutzer-)Konto
0/20Verifizierte Domain — für Nutzerkonten nicht anwendbar
18.6/25Reichweite des Inhabers — 383 Follower von kislyuk
25/25Kontohistorie — 132 öffentliche Repos, Kontoalter ca. 15 Jahre
Verwendete Eingangsdaten
followers383
owner_typeUser
is_verified
owner_loginkislyuk
public_repos132
account_age_days5.505
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 16 Tagen
20/20Versionshistorie — 137 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesargcomplete
ecosystemspypi
any_deprecatednein
min_days_since_publish16

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

69Mittel · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 2 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 7 merged PRs checked by a CI test -- score normalized to 0
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein

Dokumentation

100Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://kislyuk.github.io/argcomplete/
10/10Repository-Beschreibung
10/10Topics — 7 Topics
10/10Wiki
Verwendete Eingangsdaten
topicspython, tab-completion, bash, bash-completion, argparse, zsh, zsh-completion
has_wikija
homepagehttps://kislyuk.github.io/argcomplete/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

50Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — 0 out of 7 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-Review — Found 7/30 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 32 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
5/5Fuzzing — project is fuzzed
2.5/2.5Lizenz — license file detected
6/7.5Maintained — 9 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 8
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
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5

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.

43Gefährdet · 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
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — argcomplete/py.typed
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
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_filesMakefile
has_devcontainernein
has_linter_confignein
typecheck_configsargcomplete/py.typed
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
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (argcomplete/py.typed)
52.7/55Handhabbare Dateigrößen — 1/24 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes60.741
source_files_sampled24
oversized_source_files1
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — examples
Verwendete Eingangsdaten
example_dirsexamples
has_mcp_signalnein
api_schema_files

Eckdaten

1.573GitHub-Sterne
76Mitwirkende
14Commits, letzte 12 Monate
16Tage seit letztem Push
59Releases
1Bus-Faktor
68offene Issues
PyPIPaket-Ökosysteme

Weitere Details

OpenSSF Scorecard 5.0 / 10
5.0Gesamtwert

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 · 2026-07-17 00:19 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
0CI-Tests0 out of 7 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 7/30 approved changesets -- score normalized to 2
10Contributorsproject has 32 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
10Fuzzingproject is fuzzed
10Licenselicense file detected
8Maintained9 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 8
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
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 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.

RegistryPaketVersionBeziehung
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              {
                "key": "topics",
                "name": "Topics",
                "detail": "7 topics",
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        ],
        "description": "Are baseline engineering and documentation practices in place?"
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                "key": "fuzzing",
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              {
                "key": "vulnerabilities",
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          },
          {
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              {
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                "key": "automated_maintenance",
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                "max_points": 8
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              {
                "key": "openssf_scorecard_pinned_dependencies",
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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."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [],
  "report_type": "repository",
  "generated_at": "2026-07-17T00:19:48.423440Z",
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  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/k/kislyuk/argcomplete.svg",
  "full_name": "kislyuk/argcomplete",
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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 v0.11.0 — vollständige Methodik · Metriken-Wiki.

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