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Software-GesundheitsberichtSchema 0.14.0 · Metriken 1.13.0 · 2026-07-18 22:08 UTC

microsoft / onnxruntime-genai

Generative AI extensions for onnxruntime

C++ · PythonMIT★ 1.086 Sterne⑂ 323 Forksseit Nov. 2023Auf GitHub ansehen ↗

microsoft/onnxruntime-genai erreicht einen Gesundheitsindex von 75 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (100/100) ab, am schwächsten bei Security (50/100). Zuletzt heute aktualisiert. 4 Mitwirkende tragen den Großteil der jüngsten Arbeit.

75
gesamt / 100
Gut

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.

75
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

MicrosoftOrganisation
125.335 Follower8.203 öffentliche Reposseit Dez. 2013

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?

100Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
36/36Commit-Rhythmus — 52/52 Wochen mit Commits
18/18Commit-Volumen — 348 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — keine Daten
Verwendete Eingangsdaten
commits_last_year348
human_commit_share
days_since_last_push0
active_weeks_last_year52

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 29 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 50 Tagen
27/27Release-Rhythmus — ein Release etwa alle 21,4 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count29
latest_release_tagv0.14.0
releases_from_tagsnein
days_since_latest_release50
mean_days_between_releases21,4

Community & Verbreitung

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

72Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
49.2/60Stars — 1.086 Stars
20.9/25Forks — 323 Forks
9.3/15Watcher — 48 Watcher
Verwendete Eingangsdaten
forks323
stars1.086
watchers48
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
13.5/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
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?

80Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
43.2/54Bus-Faktor — 4 Beitragende decken die Hälfte aller Commits ab
18.3/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 19 % der Commits
13.5/13.5Breite der Beitragenden — 100 Beitragende
0/10OpenSSF Scorecard: Contributors — keine Daten
Verwendete Eingangsdaten
bus_factor4
contributors_sampled100
top_contributor_share0,187
Wie die Bewertung erfolgt
34.6/46.8Issue-Lösungsquote — 74 % der Issues geschlossen
31.9/38.3PR-Annahme — 1.300/1.559 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — keine Daten
Verwendete Eingangsdaten
merged_prs1.300
open_issues145
closed_issues415
issue_closed_ratio0,741
closed_unmerged_prs259
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
25/25Reichweite des Inhabers — 125.335 Follower von microsoft
25/25Kontohistorie — 8.203 öffentliche Repos, Kontoalter ca. 12 Jahre
Verwendete Eingangsdaten
followers125.335
owner_typeOrganization
is_verified
owner_loginmicrosoft
public_repos8.203
account_age_days4.603

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

66Mittel · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 15 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
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_confignein
has_precommit_confignein
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepage
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
30/30Sicherheitsrichtlinie (SECURITY.md)
0/25Dependabot-Konfiguration
0/25Lockfiles für Abhängigkeiten
20/20CodeQL-Workflow
Verwendete Eingangsdaten
sourcefile_signals
lockfiles
manifestspyproject.toml, requirements-lintrunner.txt
has_codeql_workflowja
has_security_policyja
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.

67Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — .github/copilot-instructions.md, .github/instructions/python-model-builder.instructions.md
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_files.github/copilot-instructions.md, .github/instructions/python-model-builder.instructions.md
agent_instruction_max_bytes5.931
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
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — C++ (statisch typisiert)
10/10Reproduzierbare Umgebung — Dockerfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
0/10OpenSSF Scorecard: Pinned-Dependencies — keine Daten
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfileja
typed_languageja
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
45/45Typprüfbarer Code — C++ (statisch typisiert)
54/55Handhabbare Dateigrößen — 8/447 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languageC++
largest_source_bytes215.793
source_files_sampled447
oversized_source_files8
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — example, examples
Verwendete Eingangsdaten
example_dirsexample, examples
has_mcp_signalnein
api_schema_files

Eckdaten

1.086GitHub-Sterne
100Mitwirkende
348Commits, letzte 12 Monate
0Tage seit letztem Push
29Releases
4Bus-Faktor
145offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

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

Weitere Details

Alle Abhängigkeiten 49

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 49 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
NuGetMicrosoft.Direct3D.DXC1.7.2308.12indirekt
NuGetMicrosoft.Extensions.AI.Abstractions9.8.0indirekt
NuGetMicrosoft.ML.OnnxRuntimeindirekt
NuGetMicrosoft.ML.OnnxRuntimeGenAI0.14.1indirekt
NuGetMicrosoft.ML.OnnxRuntimeGenAI.Cuda0.14.1indirekt
NuGetMicrosoft.ML.OnnxRuntimeGenAI.DirectML0.14.1indirekt
NuGetMicrosoft.NET.Test.Sdk17.5.0indirekt
NuGetNAudio2.2.1indirekt
NuGetSystem.CommandLine2.0.1indirekt
NuGetSystem.Memory4.5.5indirekt
NuGetxunit2.4.1indirekt
NuGetxunit.runner.visualstudio2.4.3indirekt
PyPIargparseindirekt
PyPIclang-format20.1.8indirekt
PyPIcoloredlogsindirekt
PyPIdatasetsindirekt
PyPIflatbuffersindirekt
PyPIgnureadlineindirekt
PyPIhuggingface-hubindirekt
PyPIlintrunner0.12.7indirekt
PyPIlintrunner-adapters0.12.5indirekt
PyPImypyindirekt
PyPInumpyindirekt
PyPIonnxindirekt
PyPIonnx-irindirekt
PyPIonnxruntime1.26.0indirekt
PyPIonnxruntime1.27.0indirekt
PyPIonnxruntime1.28.0.dev20260612004indirekt
PyPIonnxruntime-directml1.25.0.dev20260125001indirekt
PyPIonnxruntime-ep-webgpu0.2.0.dev20260611indirekt
PyPIonnxruntime-genaiindirekt
PyPIonnxruntime-gpu1.26.0indirekt
PyPIpackagingindirekt
PyPIpandasindirekt
PyPIprotobufindirekt
PyPIprotobuf6.33.5indirekt
PyPIpytestindirekt
PyPIruff0.12.12indirekt
PyPIsentencepieceindirekt
PyPIsetuptoolsindirekt
PyPIsympyindirekt
PyPIsympy1.12indirekt
PyPItorchindirekt
PyPItorch2.12.0+cpuindirekt
PyPItorch2.6.0+cu124indirekt
PyPItorch2.7.1indirekt
PyPItorch2.7.1+cpuindirekt
PyPItransformersindirekt
PyPIwheelindirekt
JSON-Rohbericht maschinenlesbar
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