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Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-17 01:40 UTC

openai / openai-dotnet

The official .NET library for the OpenAI API

C#MIT★ 2.651 Sterne⑂ 407 Forksseit Apr. 2024Auf GitHub ansehen ↗

openai/openai-dotnet erreicht einen Gesundheitsindex von 81 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (95/100) ab, am schwächsten bei Security (58/100). Zuletzt heute aktualisiert. 4 Mitwirkende tragen den Großteil der jüngsten Arbeit.

81
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.

81
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

OpenAIOrganisation
126.535 Follower264 öffentliche Reposseit Okt. 2015

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?

95Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
34.6/36Commit-Rhythmus — 50/52 Wochen mit Commits
18/18Commit-Volumen — 335 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year335
human_commit_share
days_since_last_push0
active_weeks_last_year50
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 34 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 15 Tagen
27/27Release-Rhythmus — ein Release etwa alle 31,2 Tage
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Verwendete Eingangsdaten
releases_count34
latest_release_tagOpenAI_2.12.0
releases_from_tagsnein
days_since_latest_release15
mean_days_between_releases31,2

Community & Verbreitung

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

79Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
55.5/60Stars — 2.651 Stars
21.7/25Forks — 407 Forks
9/15Watcher — 43 Watcher
Verwendete Eingangsdaten
forks407
stars2.651
watchers43
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?

84Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
43.2/54Bus-Faktor — 4 Beitragende decken die Hälfte aller Commits ab
16.2/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 28 % der Commits
13.5/13.5Breite der Beitragenden — 58 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor4
contributors_sampled58
top_contributor_share0,279
Wie die Bewertung erfolgt
43.4/46.8Issue-Lösungsquote — 93 % der Issues geschlossen
29.4/38.3PR-Annahme — 508/662 entschiedene PRs gemergt
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Verwendete Eingangsdaten
merged_prs508
open_issues35
closed_issues450
issue_closed_ratio0,928
closed_unmerged_prs154
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
25/25Reichweite des Inhabers — 126.535 Follower von openai
25/25Kontohistorie — 264 öffentliche Repos, Kontoalter ca. 10 Jahre
Verwendete Eingangsdaten
followers126.535
owner_typeOrganization
is_verified
owner_loginopenai
public_repos264
account_age_days3.939

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

84Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 7 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfigja
has_linter_confignein
has_precommit_confignein

Dokumentation

100Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://www.nuget.org/packages/OpenAI
10/10Repository-Beschreibung
10/10Topics — 3 Topics
10/10Wiki
Verwendete Eingangsdaten
topicscsharp, dotnet, openai
has_wikija
homepagehttps://www.nuget.org/packages/OpenAI
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

58Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 8 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
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.
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_aggregate5,8

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.

70Gut · 0 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — .github/copilot-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
agent_instruction_max_bytes512
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 — codegen/tsconfig.json
10/10Reproduzierbare Umgebung — devcontainer, lockfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilespackage-lock.json
has_dockerfilenein
typed_languageja
bootstrap_files
has_devcontainerja
has_linter_confignein
typecheck_configscodegen/tsconfig.json
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)
54.9/55Handhabbare Dateigrößen — 8/3.426 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languageC#
largest_source_bytes504.611
source_files_sampled3.426
oversized_source_files8
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

2.651GitHub-Sterne
58Mitwirkende
335Commits, letzte 12 Monate
0Tage seit letztem Push
34Releases
4Bus-Faktor
35offene Issues
npm, NuGetPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Could not fetch npm package '@open-ai/plugin' from its registry

Weitere Details

OpenSSF Scorecard 5.8 / 10
5.8Gesamtwert

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 · 2026-07-17 01:39 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 8 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
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.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direkte Abhängigkeiten 19
RegistryPaketVersionsvorgabeManifest
npm@azure-tools/typespec-client-generator-core0.69.2codegen/package.json
npm@open-ai/pluginfile:codegen/package.json
npm@typespec/http1.13.0codegen/package.json
npm@typespec/http-client-csharp1.0.0-alpha.20260710.4codegen/package.json
npm@typespec/openapi1.13.0codegen/package.json
NuGetMicrosoft.Bcl.AsyncInterfacesexamples/OpenAI.Examples.csproj
NuGetNUnitexamples/OpenAI.Examples.csproj
NuGetNUnit3TestAdapterexamples/OpenAI.Examples.csproj
NuGetMicrosoft.NET.Test.Sdkexamples/OpenAI.Examples.csproj
NuGetMoqexamples/OpenAI.Examples.csproj
npm@open-ai/pluginfile:codegenpackage.json
NuGetAzure.Identitytests/OpenAI.Tests.csproj
NuGetMicrosoft.ClientModel.TestFrameworktests/OpenAI.Tests.csproj
NuGetMicrosoft.NET.Test.Sdktests/OpenAI.Tests.csproj
NuGetMoqtests/OpenAI.Tests.csproj
NuGetNUnittests/OpenAI.Tests.csproj
NuGetNUnit3TestAdaptertests/OpenAI.Tests.csproj
NuGetSystem.Linq.AsyncEnumerabletests/OpenAI.Tests.csproj
NuGetMicrosoft.Bcl.AsyncInterfacestests/OpenAI.Tests.csproj
Alle Abhängigkeiten 285

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 13 direkte und 272 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
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npm@open-ai/plugin1.0.0direkt
npm@typespec/http1.13.0direkt
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npm@typespec/openapi1.13.0direkt
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                "key": "pr_acceptance",
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                "key": "owner_reach",
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                "key": "topics",
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                "key": "wiki",
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        ],
        "description": "Are baseline engineering and documentation practices in place?"
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        "name": "Security",
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                "name": "Dangerous-Workflow",
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                "key": "dependency_update_tool",
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              {
                "key": "fuzzing",
                "name": "Fuzzing",
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              {
                "key": "license",
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                "detail": "license file detected",
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              {
                "key": "maintained",
                "name": "Maintained",
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                "status": "met",
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              {
                "key": "packaging",
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                "key": "pinned_dependencies",
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                "key": "sast",
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                "key": "security_policy",
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                "detail": "security policy file not detected",
                "points": 0,
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                "key": "signed_releases",
                "name": "Signed-Releases",
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                "key": "token_permissions",
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              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
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          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            ],
            "value": 100,
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            "components": [
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                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
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        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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      {
        "key": "ai_readiness",
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        "name": "AI Readiness",
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        "weight": 0,
        "metrics": [
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            "key": "ai_agent_context",
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            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
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            "value": 75,
            "inputs": {
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                "key": "agent_instructions",
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                "max_points": 45
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                "name": "Machine-readable docs (llms.txt)",
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                "key": "openssf_scorecard_pinned_dependencies",
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          },
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              {
                "key": "mcp_server",
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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 v1.13.0, Schema v0.11.0 — vollständige Methodik · Metriken-Wiki.

Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken.