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Software-GesundheitsberichtSchema 0.15.0 · Metriken 1.13.0 · 2026-07-20 08:17 UTC

meshroomHub / mrSegmentation

Segmentation and Matting Nodes for Meshroom

PythonMPL-2.0★ 8 Sterne⑂ 2 Forksseit Juni 2024Auf GitHub ansehen ↗

meshroomHub/mrSegmentation erreicht einen Gesundheitsindex von 42 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Vitality (78/100) ab, am schwächsten bei Security (1/100). Zuletzt vor 9 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

42
gesamt / 100
Gefährdet

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.

42
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

Meshroom HubOrganisation
67 Follower27 öffentliche Reposseit März 2025

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

Metriken nach Kategorie

Vitalität

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

78Gut · 22 % des Gesamtindex
Wie die Bewertung erfolgt
28.8/36Push-Aktualität — letzter Push vor 9 Tagen
22.2/36Commit-Rhythmus — 32/52 Wochen mit Commits
18/18Commit-Volumen — 125 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — keine Daten
Verwendete Eingangsdaten
commits_last_year125
human_commit_share
days_since_last_push9
active_weeks_last_year32
Wie die Bewertung erfolgt
16.2/27Liefert Releases aus — 7 Versions-Tags (keine GitHub-Releases)
36/36Release-Aktualität — letztes Release vor 46 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 48,2 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count7
latest_release_tagv1.4.1
releases_from_tagsja
days_since_latest_release46
mean_days_between_releases48,2

Community & Verbreitung

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

33Gefährdet · 18 % des Gesamtindex
Wie die Bewertung erfolgt
13.7/60Stars — 8 Stars
0/25Forks — 2 Forks
3.9/15Watcher — 6 Watcher
Verwendete Eingangsdaten
forks2
stars8
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MPL-2.0)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
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?

59Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
7.8/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 65 % der Commits
8.1/13.5Breite der Beitragenden — 6 Beitragende
0/10OpenSSF Scorecard: Contributors — keine Daten
Verwendete Eingangsdaten
bus_factor1
contributors_sampled6
top_contributor_share0,653
Wie die Bewertung erfolgt
46.8/46.8Issue-Lösungsquote — 100 % der Issues geschlossen
36.9/38.3PR-Annahme — 54/56 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — keine Daten
Verwendete Eingangsdaten
merged_prs54
open_issues0
closed_issues1
issue_closed_ratio1
closed_unmerged_prs2
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
13.2/25Reichweite des Inhabers — 67 Follower von meshroomHub
13.3/25Kontohistorie — 27 öffentliche Repos, Kontoalter ca. 1 Jahre
Verwendete Eingangsdaten
followers67
owner_typeOrganization
is_verified
owner_loginmeshroomHub
public_repos27
account_age_days501

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

21Kritisch · 20 % des Gesamtindex
Wie die Bewertung erfolgt
0/24CI-Workflows
0/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — keine Daten
Verwendete Eingangsdaten
has_cinein
has_testsnein
has_editorconfignein
has_linter_confignein
has_precommit_confignein
Wie die Bewertung erfolgt
30/30README
0/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepage
has_readmeja
has_docs_dirnein
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
0/20CodeQL-Workflow
Verwendete Eingangsdaten
sourcefile_signals
lockfiles
manifestsrequirements.txt, setup.py
has_codeql_workflownein
has_security_policynein
has_dependabot_confignein

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.

11Kritisch · 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
0/18Bootstrap mit einem Befehl
0/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
0/10OpenSSF Scorecard: Pinned-Dependencies — keine Daten
Verwendete Eingangsdaten
has_nixnein
has_testsnein
lockfiles
has_dockerfilenein
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_confignein
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 — 0/29 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes32.971
source_files_sampled29
oversized_source_files0

Eckdaten

8GitHub-Sterne
6Mitwirkende
125Commits, letzte 12 Monate
9Tage seit letztem Push
7Releases
1Bus-Faktor
0offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Could not fetch pypi package 'imagePrompt' from its registry
  • OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks

Weitere Details

Alle Abhängigkeiten 8

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 8 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIeinopsindirekt
PyPIfairscaleindirekt
PyPIgroundingdino-py0.4.0indirekt
PyPIkorniaindirekt
PyPIscipyindirekt
PyPIsegment-anything1.0indirekt
PyPItorch2.5.1indirekt
PyPItorchvision0.20.*indirekt
JSON-Rohbericht maschinenlesbar
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                "points": 3.9,
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}

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