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Software-GesundheitsberichtSchema 0.12.0 · Metriken 1.13.0 · 2026-07-17 23:19 UTC

usefulsensors / moonshine

Very low latency speech to text, intent recognition, and text to speech, for building voice agents and interfaces

C++ · CEigene Lizenz★ 8.729 Sterne⑂ 476 Forksseit Okt. 2024Auf GitHub ansehen ↗

usefulsensors/moonshine erreicht einen Gesundheitsindex von 65 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (88/100) ab, am schwächsten bei Security (1/100). Zuletzt vor 1 Tag aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.

65
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.

65
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

Moonshine AIOrganisation
446 Follower74 öffentliche Reposseit Jan. 2022

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPImoonshine-voiceverweist auf ein anderes Repo — nicht bewertet0.0.6925.59136vor 1 Tagspeechtranscriptionvoiceaion-devicestt

Metriken nach Kategorie

Vitalität

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

88Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 1 Tagen
18/36Commit-Rhythmus — 26/52 Wochen mit Commits
18/18Commit-Volumen — 484 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — keine Daten
Verwendete Eingangsdaten
commits_last_year484
human_commit_share
days_since_last_push1
active_weeks_last_year26

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 16 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 1 Tagen
27/27Release-Rhythmus — ein Release etwa alle 10,3 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count16
latest_release_tagv0.0.69
releases_from_tagsnein
days_since_latest_release1
mean_days_between_releases10,3

Community & Verbreitung

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

70Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
60/60Stars — 8.729 Stars
22.3/25Forks — 476 Forks
9.9/15Watcher — 62 Watcher
Verwendete Eingangsdaten
forks476
stars8.729
watchers62
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
16.9/22.5Lizenz — Lizenzdatei vorhanden, keine anerkannte Lizenz
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?

72Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
25.2/54Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab
15.3/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 32 % der Commits
13.5/13.5Breite der Beitragenden — 15 Beitragende
0/10OpenSSF Scorecard: Contributors — keine Daten
Verwendete Eingangsdaten
bus_factor2
contributors_sampled15
top_contributor_share0,321
Wie die Bewertung erfolgt
45.3/46.8Issue-Lösungsquote — 97 % der Issues geschlossen
27.9/38.3PR-Annahme — 62/85 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — keine Daten
Verwendete Eingangsdaten
merged_prs62
open_issues3
closed_issues91
issue_closed_ratio0,968
closed_unmerged_prs23
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
19.1/25Reichweite des Inhabers — 446 Follower von moonshine-ai
21.9/25Kontohistorie — 74 öffentliche Repos, Kontoalter ca. 4 Jahre
Verwendete Eingangsdaten
followers446
owner_typeOrganization
is_verified
owner_loginmoonshine-ai
public_repos74
account_age_days1.630

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

76Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 1 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

Dokumentation

100Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://moonshine.ai
10/10Repository-Beschreibung
10/10Topics — 5 Topics
10/10Wiki
Verwendete Eingangsdaten
topicsintent-recognition, stt, tts, voice, voice-recognition
has_wikija
homepagehttps://moonshine.ai
has_readmeja
has_docs_dirja
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
manifestsbuild.gradle.kts, python/pyproject.toml, python/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.

45Gefährdet · 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
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)
53.7/55Handhabbare Dateigrößen — 30/1.254 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languageC++
largest_source_bytes15.335.389
source_files_sampled1.254
oversized_source_files30
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — examples, notebooks
Verwendete Eingangsdaten
example_dirsexamples, notebooks
has_mcp_signalnein
api_schema_files

Eckdaten

8.729GitHub-Sterne
15Mitwirkende
484Commits, letzte 12 Monate
1Tage seit letztem Push
16Releases
2Bus-Faktor
3offene Issues
Maven, PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • pypi package 'moonshine-voice' points at a different repository (https://github.com/moonshine-ai/moonshine); excluded from ecosystem scoring
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

Weitere Details

Direkte Abhängigkeiten 6
RegistryPaketVersionsvorgabeManifest
PyPInumpypython/pyproject.toml
PyPIsounddevicepython/pyproject.toml
PyPIrequestspython/pyproject.toml
PyPItqdmpython/pyproject.toml
PyPIfilelockpython/pyproject.toml
PyPIplatformdirspython/pyproject.toml
Alle Abhängigkeiten 30

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 6 direkte und 24 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIfilelockdirekt
PyPInumpydirekt
PyPIplatformdirsdirekt
PyPIrequestsdirekt
PyPIsounddevicedirekt
PyPItqdmdirekt
PyPIai-edge-litertindirekt
PyPIai-edge-quantizerindirekt
PyPIauditwheelindirekt
PyPIbuildindirekt
PyPIdatasetsindirekt
PyPIfaster-whisperindirekt
PyPIflatbuffersindirekt
PyPIfugashiindirekt
PyPIhuggingface-hubindirekt
PyPIjiwerindirekt
PyPIkokoroindirekt
PyPIlibrosaindirekt
PyPIlitert-torchindirekt
PyPImoonshine-voiceindirekt
PyPInbmakeindirekt
PyPIpiper-ttsindirekt
PyPIpyarrowindirekt
PyPIpytestindirekt
PyPIsetuptoolsindirekt
PyPIsoundfileindirekt
PyPItorchindirekt
PyPItorchaudioindirekt
PyPItwineindirekt
PyPIwheelindirekt
JSON-Rohbericht maschinenlesbar
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  "warnings": [
    "pypi package 'moonshine-voice' points at a different repository (https://github.com/moonshine-ai/moonshine); excluded from ecosystem scoring",
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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 v0.12.0 — vollständige Methodik · Metriken-Wiki.

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