Öffentliches RegisterGut
Software-GesundheitsberichtSchema 0.14.0 · Metriken 1.13.0 · 2026-07-18 21:50 UTC
SciSharp / LLamaSharp
A C#/.NET library to run LLM (🦙LLaMA/LLaVA) on your local device efficiently.
SciSharp/LLamaSharp erreicht einen Gesundheitsindex von 75 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (91/100) ab, am schwächsten bei AI Readiness (28/100). Zuletzt vor 1 Tag aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
75
gesamt / 100Software-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)
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
SciSharp STACKOrganisation
1.327 Follower72 öffentliche Reposseit Nov. 2018
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht | Tags |
|---|---|---|---|---|---|---|
| NuGet | LLamaSharp.kernel-memory | 0.27.0 | - | 22 | vor 83 Tagen | llamallmgptchatgptkernel-memoryvectorsearchscisharp |
| NuGet | LLamaSharp.semantic-kernel | 0.27.0 | - | 25 | vor 83 Tagen | llamallmgptchatgptsemantic-kernelscisharp |
| NuGet | LLamaSharp | 0.27.0 | - | 26 | vor 83 Tagen | llamallmgptchatgptnlpaichatbotscisharp |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
91
Entwicklungsaktivität
91Exzellent
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 1 Tagen |
| 27/36 | Commit-Rhythmus — 39/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 324 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 324 |
| human_commit_share | — |
| days_since_last_push | 1 |
| active_weeks_last_year | 39 |
Release-Disziplin
92Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 30 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 83 Tagen |
| 19.8/27 | Release-Rhythmus — ein Release etwa alle 62,2 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 30 |
| latest_release_tag | v0.27.0 |
| releases_from_tags | nein |
| days_since_latest_release | 83 |
| mean_days_between_releases | 62,2 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
81
Popularität & Verbreitung
91Exzellent
Wie die Bewertung erfolgt
| 58/60 | Stars — 3.742 Stars |
| 22.5/25 | Forks — 500 Forks |
| 10.1/15 | Watcher — 66 Watcher |
Verwendete Eingangsdaten
| forks | 500 |
| stars | 3.742 |
| watchers | 66 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
70Gut
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
Wie die Bewertung erfolgt
| 63.9/80 | Downloads gesamt — 1.424.439 Downloads insgesamt über nuget |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | LLamaSharp.kernel-memory, LLamaSharp.semantic-kernel, LLamaSharp |
| dependents | — |
| ecosystems | nuget |
| total_downloads | 1.424.439 |
| monthly_downloads | — |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Abhängige in der Registry. Die verbleibenden Gewichte wurden renormalisiert.
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
74
Maintainer-Resilienz (Bus-Faktor)
43Gefährdet
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 10.9/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 51 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 88 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 22 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 88 |
| top_contributor_share | 0,514 |
Reaktionsfähigkeit bei Issues & PRs
86Exzellent
Wie die Bewertung erfolgt
| 45.1/46.8 | Issue-Lösungsquote — 96 % der Issues geschlossen |
| 33.1/38.3 | PR-Annahme — 744/860 entschiedene PRs gemergt |
| 7.5/15 | OpenSSF Scorecard: Code-Review — Found 2/4 approved changesets -- score normalized to 5 |
Verwendete Eingangsdaten
| merged_prs | 744 |
| open_issues | 17 |
| closed_issues | 456 |
| issue_closed_ratio | 0,964 |
| closed_unmerged_prs | 116 |
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 22.5/25 | Reichweite des Inhabers — 1.327 Follower von SciSharp |
| 25/25 | Kontohistorie — 72 öffentliche Repos, Kontoalter ca. 7 Jahre |
Verwendete Eingangsdaten
| followers | 1.327 |
| owner_type | Organization |
| is_verified | — |
| owner_login | SciSharp |
| public_repos | 72 |
| account_age_days | 2.804 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 3 Paket(e) auf nuget |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 83 Tagen |
| 20/20 | Versionshistorie — 26 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | LLamaSharp.kernel-memory, LLamaSharp.semantic-kernel, LLamaSharp |
| ecosystems | nuget |
| any_deprecated | nein |
| min_days_since_publish | 83 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
65
Engineering-Praktiken
48Gefährdet
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 11 Workflow(s) |
| 0/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 6.4/6.4 | .editorconfig |
| 18/20 | OpenSSF Scorecard: CI-Tests — 13 out of 14 merged PRs checked by a CI test -- score normalized to 9 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | nein |
| has_editorconfig | ja |
| has_linter_config | nein |
| has_precommit_config | nein |
Dokumentation
90Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://scisharp.github.io/LLamaSharp |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 11 Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | chatbot, gpt, llama, llamacpp, llm, semantic-kernel, llava, multi-modal, llama2, llama3, llama-cpp |
| has_wiki | nein |
| homepage | https://scisharp.github.io/LLamaSharp |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
62
Sicherheitslage
62Mittel
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — keine Daten |
| 2.2/2.5 | CI-Tests — 13 out of 14 merged PRs checked by a CI test -- score normalized to 9 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 3.8/7.5 | Code-Review — Found 2/4 approved changesets -- score normalized to 5 |
| 2.5/2.5 | Contributors — project has 22 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — keine Daten |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 6,2 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
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.
28
AI-Agentenkontext & Leitlinien
1Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 0/40 | Lesbare Commit-Historie — keine Daten |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| 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
| 0/18 | Bootstrap mit einem Befehl |
| 0/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 11/11 | Statische Typprüfung — C# (statisch typisiert) |
| 0/10 | Reproduzierbare Umgebung |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 5/8 | Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | nein |
| lockfiles | — |
| has_dockerfile | nein |
| typed_language | ja |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis. Die verbleibenden Gewichte wurden renormalisiert.
AI-Code-Lesbarkeit für Modelle
99Exzellent
Wie die Bewertung erfolgt
| 45/45 | Typprüfbarer Code — C# (statisch typisiert) |
| 54/55 | Handhabbare Dateigrößen — 5/276 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | C# |
| largest_source_bytes | 285.314 |
| source_files_sampled | 276 |
| oversized_source_files | 5 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples |
Verwendete Eingangsdaten
| example_dirs | examples |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
3.742GitHub-Sterne
88Mitwirkende
324Commits, letzte 12 Monate
1Tage seit letztem Push
30Releases
1Bus-Faktor
17offene Issues
NuGetPaket-Ökosysteme
Warnungen zur Datenerhebung
- Could not fetch nuget package 'LLamaSharp.Experimental' from its registry
Weitere Details
OpenSSF Scorecard 6.2 / 10
6.2Gesamtwert
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| k. A. | Branch-Protection | internal 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 |
| 9 | CI-Tests | 13 out of 14 merged PRs checked by a CI test -- score normalized to 9 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 5 | Code-Review | Found 2/4 approved changesets -- score normalized to 5 |
| 10 | Contributors | project has 22 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| k. A. | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direkte Abhängigkeiten 41
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| NuGet | BenchmarkDotNet | 0.15.8 | LLama.Benchmark/LLama.Benchmark.csproj |
| NuGet | BenchmarkDotNet.Diagnostics.Windows | 0.15.8 | LLama.Benchmark/LLama.Benchmark.csproj |
| NuGet | Microsoft.Extensions.Logging.Console | 10.0.5 | LLama.Examples/LLama.Examples.csproj |
| NuGet | Microsoft.KernelMemory.Core | 0.98.250508.3 | LLama.Examples/LLama.Examples.csproj |
| NuGet | Microsoft.SemanticKernel | 1.74.0 | LLama.Examples/LLama.Examples.csproj |
| NuGet | Microsoft.SemanticKernel.Plugins.Memory | 1.44.0-alpha | LLama.Examples/LLama.Examples.csproj |
| NuGet | NAudio | 2.3.0 | LLama.Examples/LLama.Examples.csproj |
| NuGet | SixLabors.ImageSharp | 3.1.12 | LLama.Examples/LLama.Examples.csproj |
| NuGet | Spectre.Console | 0.54.0 | LLama.Examples/LLama.Examples.csproj |
| NuGet | Spectre.Console.ImageSharp | 0.54.0 | LLama.Examples/LLama.Examples.csproj |
| NuGet | Whisper.net | 1.9.0 | LLama.Examples/LLama.Examples.csproj |
| NuGet | Whisper.net.Runtime | 1.9.0 | LLama.Examples/LLama.Examples.csproj |
| NuGet | Whisper.net.Runtime.Clblast | 1.5.0 | LLama.Examples/LLama.Examples.csproj |
| NuGet | Whisper.net.Runtime.CoreML | 1.9.0 | LLama.Examples/LLama.Examples.csproj |
| NuGet | Whisper.net.Runtime.Cublas | 1.5.0 | LLama.Examples/LLama.Examples.csproj |
| NuGet | HuggingfaceHub | 0.1.3 | LLama.Experimental/LLama.Experimental.csproj |
| NuGet | Microsoft.KernelMemory.Abstractions | 0.98.250508.3 | LLama.KernelMemory/LLamaSharp.KernelMemory.csproj |
| NuGet | Microsoft.SemanticKernel.Abstractions | 1.64.0 | LLama.SemanticKernel/LLamaSharp.SemanticKernel.csproj |
| NuGet | System.Memory | 4.6.3 | LLama.SemanticKernel/LLamaSharp.SemanticKernel.csproj |
| NuGet | Microsoft.NET.Test.Sdk | 18.3.0 | LLama.Unittest/LLama.Unittest.csproj |
| NuGet | Moq | 4.20.72 | LLama.Unittest/LLama.Unittest.csproj |
| NuGet | xunit | 2.9.3 | LLama.Unittest/LLama.Unittest.csproj |
| NuGet | xunit.runner.visualstudio | 3.1.5 | LLama.Unittest/LLama.Unittest.csproj |
| NuGet | coverlet.collector | 10.0.1 | LLama.Unittest/LLama.Unittest.csproj |
| NuGet | Xunit.SkippableFact | 1.5.61 | LLama.Unittest/LLama.Unittest.csproj |
| NuGet | Microsoft.AspNetCore.Mvc.Razor.RuntimeCompilation | 8.0.28 | LLama.Web/LLama.Web.csproj |
| NuGet | Microsoft.VisualStudio.Validation | 17.13.22 | LLama.WebAPI/LLama.WebAPI.csproj |
| NuGet | IsExternalInit | 1.0.3 | LLama/LLamaSharp.csproj |
| NuGet | System.Memory | 4.6.3 | LLama/LLamaSharp.csproj |
| NuGet | System.Text.Json | 10.0.9 | LLama/LLamaSharp.csproj |
| NuGet | CommunityToolkit.HighPerformance | 8.4.2 | LLama/LLamaSharp.csproj |
| NuGet | Microsoft.Bcl.AsyncInterfaces | 10.0.9 | LLama/LLamaSharp.csproj |
| NuGet | Microsoft.Bcl.Memory | 10.0.9 | LLama/LLamaSharp.csproj |
| NuGet | Microsoft.Extensions.AI.Abstractions | 10.7.0 | LLama/LLamaSharp.csproj |
| NuGet | Microsoft.Extensions.Logging.Abstractions | 10.0.9 | LLama/LLamaSharp.csproj |
| NuGet | System.Linq.Async | 7.0.0 | LLama/LLamaSharp.csproj |
| NuGet | System.Linq.AsyncEnumerable | 10.0.2 | LLama/LLamaSharp.csproj |
| NuGet | System.Numerics.Tensors | 10.0.5 | LLama/LLamaSharp.csproj |
| NuGet | Microsoft.Maui.Controls | $(MauiVersion) | Llama.Mobile/Llama.Mobile.csproj |
| NuGet | Microsoft.Maui.Controls.Compatibility | $(MauiVersion) | Llama.Mobile/Llama.Mobile.csproj |
| NuGet | Microsoft.Extensions.Logging.Debug | 8.0.1 | Llama.Mobile/Llama.Mobile.csproj |
Alle Abhängigkeiten 45
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 40 direkte und 5 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| NuGet | BenchmarkDotNet | 0.15.8 | direkt |
| NuGet | BenchmarkDotNet.Diagnostics.Windows | 0.15.8 | direkt |
| NuGet | CommunityToolkit.HighPerformance | 8.4.2 | direkt |
| NuGet | coverlet.collector | 10.0.1 | direkt |
| NuGet | HuggingfaceHub | 0.1.3 | direkt |
| NuGet | IsExternalInit | 1.0.3 | direkt |
| NuGet | Microsoft.AspNetCore.Mvc.Razor.RuntimeCompilation | 8.0.28 | direkt |
| NuGet | Microsoft.Bcl.AsyncInterfaces | 10.0.9 | direkt |
| NuGet | Microsoft.Bcl.Memory | 10.0.9 | direkt |
| NuGet | Microsoft.Extensions.AI.Abstractions | 10.7.0 | direkt |
| NuGet | Microsoft.Extensions.Logging.Abstractions | 10.0.9 | direkt |
| NuGet | Microsoft.Extensions.Logging.Console | 10.0.5 | direkt |
| NuGet | Microsoft.Extensions.Logging.Debug | 8.0.1 | direkt |
| NuGet | Microsoft.KernelMemory.Abstractions | 0.98.250508.3 | direkt |
| NuGet | Microsoft.KernelMemory.Core | 0.98.250508.3 | direkt |
| NuGet | Microsoft.Maui.Controls | — | direkt |
| NuGet | Microsoft.Maui.Controls.Compatibility | — | direkt |
| NuGet | Microsoft.NET.Test.Sdk | 18.3.0 | direkt |
| NuGet | Microsoft.SemanticKernel | 1.74.0 | direkt |
| NuGet | Microsoft.SemanticKernel.Abstractions | 1.64.0 | direkt |
| NuGet | Microsoft.SemanticKernel.Plugins.Memory | 1.44.0-alpha | direkt |
| NuGet | Microsoft.VisualStudio.Validation | 17.13.22 | direkt |
| NuGet | Moq | 4.20.72 | direkt |
| NuGet | NAudio | 2.3.0 | direkt |
| NuGet | SixLabors.ImageSharp | 3.1.12 | direkt |
| NuGet | Spectre.Console | 0.54.0 | direkt |
| NuGet | Spectre.Console.ImageSharp | 0.54.0 | direkt |
| NuGet | System.Linq.Async | 7.0.0 | direkt |
| NuGet | System.Linq.AsyncEnumerable | 10.0.2 | direkt |
| NuGet | System.Memory | 4.6.3 | direkt |
| NuGet | System.Numerics.Tensors | 10.0.5 | direkt |
| NuGet | System.Text.Json | 10.0.9 | direkt |
| NuGet | Whisper.net | 1.9.0 | direkt |
| NuGet | Whisper.net.Runtime | 1.9.0 | direkt |
| NuGet | Whisper.net.Runtime.Clblast | 1.5.0 | direkt |
| NuGet | Whisper.net.Runtime.CoreML | 1.9.0 | direkt |
| NuGet | Whisper.net.Runtime.Cublas | 1.5.0 | direkt |
| NuGet | xunit | 2.9.3 | direkt |
| NuGet | xunit.runner.visualstudio | 3.1.5 | direkt |
| NuGet | Xunit.SkippableFact | 1.5.61 | direkt |
| NuGet | LLamaSharp.Backend.Cpu | — | indirekt |
| NuGet | LLamaSharp.Backend.Cuda12.Linux | — | indirekt |
| NuGet | LLamaSharp.Backend.Cuda12.Windows | — | indirekt |
| NuGet | LLamaSharp.Backend.Vulkan.Linux | — | indirekt |
| NuGet | LLamaSharp.Backend.Vulkan.Windows | — | indirekt |
JSON-Rohbericht maschinenlesbar
{
"data": {
"repo": {
"topics": [
"chatbot",
"gpt",
"llama",
"llamacpp",
"llm",
"semantic-kernel",
"llava",
"multi-modal",
"llama2",
"llama3",
"llama-cpp"
],
"is_fork": false,
"size_kb": 411657,
"has_wiki": false,
"homepage": "https://scisharp.github.io/LLamaSharp",
"languages": {
"C#": 1101664,
"CSS": 2038,
"HTML": 17644,
"JavaScript": 260728
},
"pushed_at": "2026-07-17T13:21:52Z",
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"detail": "https://scisharp.github.io/LLamaSharp",
"points": 15,
"status": "met",
"details": [],
"max_points": 15
},
{
"key": "repository_description",
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"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "topics",
"name": "Topics",
"detail": "11 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
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}
}
],
"max_points": 10
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{
"key": "wiki",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "moderate",
"name": "Security",
"value": 62,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "moderate",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"branch_protection",
"signed_releases"
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},
{
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"scorecard_aggregate": 6.2
},
"components": [
{
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"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "branch_protection",
"name": "Branch-Protection",
"detail": "internal 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",
"points": 0,
"status": "excluded",
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"params": {}
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],
"max_points": 7.5
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{
"key": "ci_tests",
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"points": 2.2,
"status": "partial",
"details": [],
"max_points": 2.5
},
{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "code_review",
"name": "Code-Review",
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"points": 3.8,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
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"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "dangerous_workflow",
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"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "update tool detected",
"points": 7.5,
"status": "met",
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"max_points": 7.5
},
{
"key": "fuzzing",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
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"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
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"detail": "packaging workflow detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "pinned_dependencies",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
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"detail": "SAST tool is not run on all commits -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
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"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
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"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
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{
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"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
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"points": 7.5,
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"details": [],
"max_points": 7.5
}
]
},
{
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"notes": [
{
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}
],
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"review_only_matches": 0,
"assessed_self_published_locations": 7
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"components": [
{
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"points": 100,
"status": "met",
"details": [
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"max_points": 100
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{
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"name": "AI Readiness",
"value": 28,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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{
"code": "weights_renormalized",
"params": {}
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"value": 1,
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"legible_history_share": null,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
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"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
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"max_points": 45
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{
"key": "machine_readable_docs_llms_txt",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 15
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{
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"points": 0,
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"code": "no_data",
"params": {}
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"max_points": 40
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"params": {
"components": [
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{
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"lockfiles": [],
"has_dockerfile": false,
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"bootstrap_files": [],
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"typecheck_configs": [],
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"dependency_bot_commit_share": 0
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"components": [
{
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"points": 0,
"status": "missed",
"details": [],
"max_points": 18
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{
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 22
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{
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"points": 0,
"status": "missed",
"details": [],
"max_points": 11
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{
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"points": 11,
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"max_points": 11
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{
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"points": 0,
"status": "missed",
"details": [],
"max_points": 10
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{
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"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
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],
"max_points": 10
},
{
"key": "automated_maintenance",
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"points": 5,
"status": "partial",
"details": [
{
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"params": {}
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],
"max_points": 8
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{
"key": "openssf_scorecard_pinned_dependencies",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 10
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},
{
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"largest_source_bytes": 285314,
"source_files_sampled": 276,
"oversized_source_files": 5
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"points": 45,
"status": "met",
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"max_points": 45
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{
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"points": 54,
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"oversized": 5
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{
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"value": 40,
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"api_schema_files": []
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"detail": null,
"points": 0,
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"details": [],
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{
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"points": 0,
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{
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{
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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": [
"Could not fetch nuget package 'LLamaSharp.Experimental' from its registry"
],
"report_type": "repository",
"generated_at": "2026-07-18T21:50:54.586793Z",
"schema_version": "0.14.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/s/SciSharp/LLamaSharp.svg",
"full_name": "SciSharp/LLamaSharp",
"license_state": "standard",
"license_spdx": "MIT"
}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 v0.14.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — NuGet.