Registro públicoBueno
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-30 22:04 UTC
Blaizzy / mlx-audio
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
Blaizzy/mlx-audio tiene un índice de salud de 83 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Vitality (98/100) y la más baja, AI Readiness (54/100). Se actualizó por última vez hace 1 día. 3 personas concentran la mayor parte del trabajo reciente.
83
global / 100Índice de salud del software
Las métricas se agrupan en categorías ponderadas sobre una escala de 1 a 100. El resultado global parte de su media; cuando la evidencia pública activa la Política de Jurisdicciones de Alto Riesgo, la calificación se ajusta y recibe el límite 49 (En riesgo). Preparación para IA queda fuera.
83
Excelente85-100Ejemplar; cumple prácticamente todos los criterios evaluados
Bueno70-84Saludable; carencias menores
Moderado50-69Aceptable con carencias notables; se recomienda revisión
En riesgo30-49Debilidades significativas; su adopción exige cautela
Crítico1-29Problemas graves (proyecto abandonado, un solo mantenedor, sin higiene)
Perfil de puntuación
Cada eje es una categoría. La forma importa más que la media: un proyecto sano llena toda la figura, mientras que un perfil de picos y cráteres indica que la fortaleza en una dimensión enmascara el riesgo en otra.
Titularidad
Prince CanumaCuenta personal
1458 seguidores106 repositorios públicosdesde nov 2016kulissiwa.com
Este repositorio pertenece a una cuenta personal. Un proyecto con un único propietario conlleva más riesgo de continuidad que uno respaldado por una organización.
Ecosistemas de paquetes
| Registro | Paquete | Versión | Descargas / mes | Versiones | Última publicación |
|---|---|---|---|---|---|
| PyPI | mlx-audio | 0.4.6 | 362.747 | 26 | hace 5 días |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
98
Actividad de desarrollo
96Excelente
Cómo se puntúa
| 36/36 | Recencia de push — último push hace 1 días |
| 31.8/36 | Cadencia de commits — 46/52 semanas con commits |
| 18/18 | Volumen de commits — 735 commits en el último año |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10 |
Datos de entrada utilizados
| commits_last_year | 735 |
| human_commit_share | 1 |
| days_since_last_push | 1 |
| active_weeks_last_year | 46 |
Disciplina de publicación
100Excelente
Cómo se puntúa
| 27/27 | Publica versiones — 26 versiones publicadas |
| 36/36 | Recencia de las versiones — última versión hace 5 días |
| 27/27 | Cadencia de publicación — una versión cada ~20,4 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 26 |
| latest_release_tag | v0.4.6 |
| releases_from_tags | no |
| days_since_latest_release | 5 |
| mean_days_between_releases | 20,4 |
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: Signed-Releases. Los pesos restantes se han renormalizado.
Comunidad y Adopción
¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?
80
Popularidad y adopción
93Excelente
Cómo se puntúa
| 60/60 | Estrellas — 7654 estrellas |
| 23.6/25 | Forks — 680 forks |
| 9.5/15 | Observadores — 53 observadores |
Datos de entrada utilizados
| forks | 680 |
| stars | 7654 |
| watchers | 53 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Salud de la comunidad
57Moderado
Cómo se puntúa
| 22.5/22.5 | README |
| 22.5/22.5 | Licencia — licencia reconocida (MIT) |
| 0/18 | Guía CONTRIBUTING |
| 0/13.5 | Código de conducta |
| 0/7.2 | Plantilla de issues |
| 6.3/6.3 | Plantilla de PR |
Datos de entrada utilizados
| has_readme | sí |
| has_license | sí |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | sí |
Adopción en el ecosistema (descargas)
93Excelente
Cómo se puntúa
| 74.1/80 | Descargas mensuales — 362.747 descargas/mes en pypi |
| 0/20 | Dependientes en el registro — no lo informa este ecosistema |
Datos de entrada utilizados
| packages | mlx-audio |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 362.747 |
Excluidos de la puntuación (sin datos o no aplicable): Dependientes en el registro. Los pesos restantes se han renormalizado.
Sostenibilidad y Gobernanza
¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?
80
Cómo se puntúa
| 36/54 | Factor bus — la mitad de los commits recae en 3 contribuyente(s) |
| 16.8/22.5 | Distribución de commits — el principal contribuyente firma el 26% de los commits |
| 13.5/13.5 | Amplitud de contribuyentes — 99 contribuyentes |
| 10/10 | OpenSSF Scorecard: Contributors — project has 9 contributing companies or organizations |
Datos de entrada utilizados
| bus_factor | 3 |
| contributors_sampled | 99 |
| top_contributor_share | 0,255 |
Cómo se puntúa
| 35.9/46.8 | Resolución de issues — 77% de issues cerradas |
| 30.7/38.3 | Aceptación de PR — 426/531 PR decididos fusionados |
| 10.5/15 | OpenSSF Scorecard: Code-Review — Found 10/13 approved changesets -- score normalized to 7 |
Datos de entrada utilizados
| merged_prs | 426 |
| open_issues | 70 |
| closed_issues | 231 |
| issue_closed_ratio | 0,767 |
| closed_unmerged_prs | 105 |
Propiedad y custodia
72Bueno
Cómo se puntúa
| 10/30 | Respaldo de la propiedad — cuenta personal (usuario) |
| 0/20 | Dominio verificado — no aplicable a cuentas de usuario |
| 22.7/25 | Alcance del propietario — 1458 seguidores de Blaizzy |
| 25/25 | Trayectoria — 106 repos públicos, cuenta de ~9 años |
Datos de entrada utilizados
| followers | 1458 |
| owner_type | User |
| is_verified | — |
| owner_login | Blaizzy |
| public_repos | 106 |
| account_age_days | 3545 |
Excluidos de la puntuación (sin datos o no aplicable): Dominio verificado. Los pesos restantes se han renormalizado.
Mantenimiento de paquetes
100Excelente
Cómo se puntúa
| 25/25 | Publicado y resoluble — 1 paquete(s) en pypi |
| 35/35 | Recencia de publicación — última publicación hace 5 días |
| 20/20 | Historial de versiones — 26 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
Datos de entrada utilizados
| packages | mlx-audio |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 5 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
92
Prácticas de ingeniería
94Excelente
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 4 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 16/16 | Configuración de linter — .eslintrc.json |
| 9.6/9.6 | Hooks de pre-commit |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 13 out of 13 merged PRs checked by a CI test -- score normalized to 10 |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | sí |
| has_precommit_config | sí |
Documentación
90Excelente
Cómo se puntúa
| 30/30 | README |
| 25/25 | Directorio de documentación |
| 15/15 | Sitio de documentación / página del proyecto — https://blaizzy.github.io/mlx-audio/ |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 9 topics |
| 0/10 | Wiki |
Datos de entrada utilizados
| topics | apple-silicon, audio-processing, mlx, multimodal, speech-recognition, speech-synthesis, speech-to-text, text-to-speech, transformers |
| has_wiki | no |
| homepage | https://blaizzy.github.io/mlx-audio/ |
| has_readme | sí |
| has_docs_dir | sí |
| has_description | sí |
Seguridad
¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?
58
Postura de seguridad
47En riesgo
Cómo se puntúa
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — sin datos |
| 2.5/2.5 | CI-Tests — 13 out of 13 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 5.2/7.5 | Code-Review — Found 10/13 approved changesets -- score normalized to 7 |
| 2.5/2.5 | Contributors — project has 9 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Licencia — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 2 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 — sin datos |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 42 existing vulnerabilities detected |
Datos de entrada utilizados
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 4,8 |
Excluidos de la puntuación (sin datos o no aplicable): branch_protection, signed_releases. Los pesos restantes se han renormalizado.
Avisos de dependencias
100Excelente
Cómo se puntúa
| 35/35 | Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido |
| 25/25 | Dependencias indirectas libres de avisos conocidos — ninguna dependencia indirecta tiene un aviso conocido |
| 0/40 | Sin avisos pendientes — ningún aviso tiene fecha de publicación |
Datos de entrada utilizados
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 38 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluidos de la puntuación (sin datos o no aplicable): Sin avisos pendientes. Los pesos restantes se han renormalizado. Se cotejó el cierre de dependencias en tiempo de ejecución de pypi:mlx-audio@0.4.6 —lo que arrastra la instalación del paquete publicado—: 38 paquetes. No se analiza la alcanzabilidad.
Preparación para IA
¿Hasta qué punto está el repositorio preparado para desarrollarse y mantenerse con agentes de codificación de IA? Es una insignia independiente y experimental — peso 0,0, de modo que se presenta por separado y no afecta a la puntuación de salud global.
54
Contexto y guía para agentes
34En riesgo
Cómo se puntúa
| 0/45 | Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 34.1/40 | Historial de commits legible — 64 de 100 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | 0,64 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Cómo se puntúa
| 0/18 | Arranque con un solo comando |
| 22/22 | Pruebas automatizadas |
| 11/11 | Configuración de lint / formato — .eslintrc.json |
| 11/11 | Verificación estática de tipos — examples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json |
| 10/10 | Entorno reproducible — lockfile |
| 10/10 | Práctica demostrada con agentes — 8 de los últimos 100 commits con autoría o crédito de agente |
| 0/8 | Mantenimiento automatizado — no se observan actualizaciones automáticas de dependencias |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Datos de entrada utilizados
| has_nix | no |
| has_tests | sí |
| lockfiles | uv.lock |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | sí |
| typecheck_configs | examples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json |
| agent_commit_share | 0,08 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Cómo se puntúa
| 27/45 | Código verificable por tipos — Python con configuración de verificación de tipos (examples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json) |
| 54.4/55 | Tamaños de archivo manejables — 8/731 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 354.737 |
| source_files_sampled | 731 |
| oversized_source_files | 8 |
Interfaces legibles por máquina
40En riesgo
Cómo se puntúa
| 0/40 | Esquema de API (OpenAPI/GraphQL/proto) |
| 0/20 | Servidor MCP |
| 40/40 | Ejemplos ejecutables — examples |
Datos de entrada utilizados
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
Datos clave
7654estrellas de GitHub
99contribuidores
735commits en los últimos 12 meses
1días desde el último push
26versiones publicadas
3factor bus
70issues abiertas
PyPIecosistemas de paquetes
Advertencias de recopilación de datos
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Más detalle
Historial de estrellas y forks 0 ★ / 680 ⇿
0Estrellas
680Forks
26Versiones
Cuándo se añadió cada estrella y fork, recopilado de GitHub y agrupado por día. El crecimiento acumulado se sitúa justo encima de las adiciones diarias que lo componen, de modo que ambos se leen en conjunto: la acumulación orgánica sostenida no se parece en nada a un pico abrupto y efímero. Cuando esa diferencia es medible, se informa como autenticidad del crecimiento.
Mayor 0Menor 4Parche 21
Cada punto abarca 2 días.
OpenSSF Scorecard 4.8 / 10
4.8agregado
Evaluación de seguridad independiente y agnóstica en cuanto a herramientas, procedente del proyecto de código abierto OpenSSF Scorecard. Cada comprobación premia una práctica de seguridad, no la herramienta de un proveedor concreto. Las comprobaciones que Scorecard no pudo determinar se marcan como n/d y se excluyen de la puntuación de seguridad (nunca se cuentan como cero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| n/d | 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 |
| 10 | CI-Tests | 13 out of 13 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 7 | Code-Review | Found 10/13 approved changesets -- score normalized to 7 |
| 10 | Contributors | project has 9 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 2 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 |
| n/d | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 42 existing vulnerabilities detected |
Dependencias directas 9
| Registro | Paquete | Restricción de versión | Manifiesto |
|---|---|---|---|
| PyPI | huggingface_hub | >=1.0 | pyproject.toml |
| PyPI | miniaudio | >=1.61 | pyproject.toml |
| PyPI | mlx-lm | >=0.31.1 | pyproject.toml |
| PyPI | mlx | >=0.31.1 | pyproject.toml |
| PyPI | numpy | >=1.26.4 | pyproject.toml |
| PyPI | scipy | >=1.10.0 | pyproject.toml |
| PyPI | sounddevice | >=0.5.3 | pyproject.toml |
| PyPI | tqdm | >=4.67.1 | pyproject.toml |
| PyPI | transformers | >=5.14.0 | pyproject.toml |
Todas las dependencias 136
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 11 paquetes directos y 125 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|---|---|---|
| PyPI | huggingface-hub | 1.11.0 | directa |
| PyPI | miniaudio | 1.61 | directa |
| PyPI | mlx | 0.31.2 | directa |
| PyPI | mlx-lm | 0.31.1 | directa |
| PyPI | numpy | 2.2.6 | directa |
| PyPI | numpy | 2.3.5 | directa |
| PyPI | scipy | 1.15.3 | directa |
| PyPI | scipy | 1.17.0 | directa |
| PyPI | sounddevice | 0.5.3 | directa |
| PyPI | tqdm | 4.67.1 | directa |
| PyPI | transformers | 5.6.0 | directa |
| npm | @react-three/drei | ~9.105.6 | indirecta |
| npm | @react-three/fiber | ~8.16.8 | indirecta |
| npm | @types/bun | latest | indirecta |
| npm | @types/fluent-ffmpeg | ^2.1.27 | indirecta |
| npm | @types/node | ^20 | indirecta |
| npm | @types/node | ^22.13.10 | indirecta |
| npm | @types/react | ^18 | indirecta |
| npm | @types/react-dom | ^18 | indirecta |
| npm | class-variance-authority | ^0.7.1 | indirecta |
| npm | clsx | ^2.1.1 | indirecta |
| npm | D | ^1.0.0 | indirecta |
| npm | eslint | ^8 | indirecta |
| npm | eslint-config-next | 14.2.16 | indirecta |
| npm | fluent-ffmpeg | ^2.1.3 | indirecta |
| npm | lucide-react | ^0.511.0 | indirecta |
| npm | mkdirp | ^3.0.1 | indirecta |
| npm | next | ^15.4.7 | indirecta |
| npm | next-themes | ^0.4.6 | indirecta |
| npm | postcss | ^8 | indirecta |
| npm | react | ^18 | indirecta |
| npm | react-dom | ^18 | indirecta |
| npm | tailwind-merge | ^3.3.0 | indirecta |
| npm | tailwindcss | ^3.4.1 | indirecta |
| npm | tailwindcss-animate | ^1.0.7 | indirecta |
| npm | three | ^0.163.0 | indirecta |
| npm | typescript | ^5 | indirecta |
| PyPI | annotated-doc | 0.0.4 | indirecta |
| PyPI | annotated-types | 0.7.0 | indirecta |
| PyPI | anyio | 4.12.1 | indirecta |
| PyPI | attrs | 25.4.0 | indirecta |
| PyPI | babel | 2.17.0 | indirecta |
| PyPI | backports-asyncio-runner | 1.2.0 | indirecta |
| PyPI | backrefs | 6.2 | indirecta |
| PyPI | black | 26.1.0 | indirecta |
| PyPI | certifi | 2026.1.4 | indirecta |
| PyPI | cffi | 2.0.0 | indirecta |
| PyPI | cfgv | 3.5.0 | indirecta |
| PyPI | charset-normalizer | 3.4.4 | indirecta |
| PyPI | click | 8.3.1 | indirecta |
| PyPI | colorama | 0.4.6 | indirecta |
| PyPI | distlib | 0.4.0 | indirecta |
| PyPI | exceptiongroup | 1.3.1 | indirecta |
| PyPI | fastapi | 0.128.0 | indirecta |
| PyPI | filelock | 3.20.3 | indirecta |
| PyPI | fsspec | 2026.1.0 | indirecta |
| PyPI | ghp-import | 2.1.0 | indirecta |
| PyPI | griffelib | 2.0.2 | indirecta |
| PyPI | h11 | 0.16.0 | indirecta |
| PyPI | hf-xet | 1.4.3 | indirecta |
| PyPI | httpcore | 1.0.9 | indirecta |
| PyPI | httptools | 0.7.1 | indirecta |
| PyPI | httpx | 0.28.1 | indirecta |
| PyPI | identify | 2.6.16 | indirecta |
| PyPI | idna | 3.11 | indirecta |
| PyPI | iniconfig | 2.3.0 | indirecta |
| PyPI | isort | 7.0.0 | indirecta |
| PyPI | jinja2 | 3.1.6 | indirecta |
| PyPI | jsonschema | 4.26.0 | indirecta |
| PyPI | jsonschema-specifications | 2025.9.1 | indirecta |
| PyPI | markdown | 3.10.2 | indirecta |
| PyPI | markdown-it-py | 4.0.0 | indirecta |
| PyPI | markupsafe | 3.0.3 | indirecta |
| PyPI | mdurl | 0.1.2 | indirecta |
| PyPI | mergedeep | 1.3.4 | indirecta |
| PyPI | mistral-common | 1.8.8 | indirecta |
| PyPI | mkdocs | 1.6.1 | indirecta |
| PyPI | mkdocs-autorefs | 1.4.4 | indirecta |
| PyPI | mkdocs-get-deps | 0.2.2 | indirecta |
| PyPI | mkdocs-material | 9.7.6 | indirecta |
| PyPI | mkdocs-material-extensions | 1.3.1 | indirecta |
| PyPI | mkdocstrings | 1.0.3 | indirecta |
| PyPI | mkdocstrings-python | 2.0.3 | indirecta |
| PyPI | mlx-metal | 0.31.2 | indirecta |
| PyPI | mypy-extensions | 1.1.0 | indirecta |
| PyPI | nodeenv | 1.10.0 | indirecta |
| PyPI | packaging | 26.0 | indirecta |
| PyPI | paginate | 0.5.7 | indirecta |
| PyPI | pathspec | 1.0.4 | indirecta |
| PyPI | pillow | 12.1.0 | indirecta |
| PyPI | platformdirs | 4.5.1 | indirecta |
| PyPI | pluggy | 1.6.0 | indirecta |
| PyPI | pre-commit | 4.5.1 | indirecta |
| PyPI | protobuf | 6.33.5 | indirecta |
| PyPI | pycountry | 24.6.1 | indirecta |
| PyPI | pycparser | 3.0 | indirecta |
| PyPI | pydantic | 2.12.5 | indirecta |
| PyPI | pydantic-core | 2.41.5 | indirecta |
| PyPI | pydantic-extra-types | 2.11.0 | indirecta |
| PyPI | pygments | 2.19.2 | indirecta |
| PyPI | pymdown-extensions | 10.21.2 | indirecta |
| PyPI | pytest | 9.0.2 | indirecta |
| PyPI | pytest-asyncio | 1.3.0 | indirecta |
| PyPI | python-dateutil | 2.9.0.post0 | indirecta |
| PyPI | python-dotenv | 1.2.2 | indirecta |
| PyPI | python-multipart | 0.0.22 | indirecta |
| PyPI | pytokens | 0.4.1 | indirecta |
| PyPI | pyyaml | 6.0.3 | indirecta |
| PyPI | pyyaml-env-tag | 1.1 | indirecta |
| PyPI | referencing | 0.37.0 | indirecta |
| PyPI | regex | 2026.1.15 | indirecta |
| PyPI | requests | 2.32.5 | indirecta |
| PyPI | rich | 14.3.3 | indirecta |
| PyPI | rpds-py | 0.30.0 | indirecta |
| PyPI | safetensors | 0.7.0 | indirecta |
| PyPI | sentencepiece | 0.2.1 | indirecta |
| PyPI | setuptools | 80.10.1 | indirecta |
| PyPI | shellingham | 1.5.4 | indirecta |
| PyPI | six | 1.17.0 | indirecta |
| PyPI | soundfile | 0.13.1 | indirecta |
| PyPI | soxr | 1.0.0 | indirecta |
| PyPI | starlette | 0.50.0 | indirecta |
| PyPI | tiktoken | 0.12.0 | indirecta |
| PyPI | tokenizers | 0.22.2 | indirecta |
| PyPI | tomli | 2.4.0 | indirecta |
| PyPI | typer | 0.24.1 | indirecta |
| PyPI | typing-extensions | 4.15.0 | indirecta |
| PyPI | typing-inspection | 0.4.2 | indirecta |
| PyPI | urllib3 | 2.6.3 | indirecta |
| PyPI | uvicorn | 0.40.0 | indirecta |
| PyPI | uvloop | 0.22.1 | indirecta |
| PyPI | virtualenv | 20.36.1 | indirecta |
| PyPI | watchdog | 6.0.0 | indirecta |
| PyPI | watchfiles | 1.1.1 | indirecta |
| PyPI | webrtcvad | 2.0.10 | indirecta |
| PyPI | websockets | 16.0 | indirecta |
Avisos de dependencias 0
Instalar pypi:mlx-audio@0.4.6 arrastra 38 paquetes, directos y transitivos: 0 tienen avisos conocidos, de los cuales 0 son dependencias directas.
Ningún aviso conocido afecta a las dependencias evaluadas.
Un aviso significa que la versión registrada en el grafo de dependencias cae dentro del rango afectado de un aviso. No se analiza la alcanzabilidad, y el grafo incluye fijaciones de desarrollo y prueba: un hallazgo puede referirse al utillaje y no al software distribuido.
Informe JSON sin procesar legible por máquina
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"headline": "Merge pull request #799 from Hert4/add-confucius4-tts",
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"body": "- Use the standard repo copyright header in all package files\n- generate(): load ref audio via mlx_audio.utils.load_audio (audio_io\n decode + resample_audio), dropping soundfile and librosa\n- _ref_mel: drop librosa; resample via resample_audio and use a\n self-contained slaney mel filterbank (match\n[…]\ne-9)\n- features.py: reimplement fbank_160 in MLX (vectorized mx.fft.rfft)\n- Add README with usage examples and supported mlx-community repo ids\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"body": "Reported in PR #799: sf.read returns sr but it was discarded, so\nfbank_160 / CAMPPlus / _ref_mel read a 44.1/48 kHz ref as 16 kHz,\nproducing a mel off by sr/16000 and garbled audio.",
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"body": "find_ckpt() now only resolves the sibling weights/ dir (the Model always passes\nan explicit path); drops a personal absolute HF-cache glob.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"body": "When --quantize is set, also 8/4-bit the w2v-bert per-layer ffn + attention\nlinears (feature_projection kept fp32: in=160 not divisible by group 64).\nShrinks the bundled encoder ~1.5GB -> ~0.6GB; int8 model dir ~3.6GB -> ~2.6GB.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"headline": "Apply black + isort formatting (CI style)",
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"headline": "Add Confucius4-TTS: multilingual zero-shot voice-cloning TTS (MLX)",
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"headline": "Merge pull request #785 from kanihal/fix-sinegen-length-alignment",
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"body": "Address the review feedback to keep audio inputs as mx.arrays and drop the\ntransformers feature extractor.\n\n- Add AudioFeatureExtractor, an nn.Module that takes an mx.array waveform and\n returns mx.array mel features, computing the log-mel spectrogram entirely in\n mx space via the shared mlx_audio\n[…]\nt while keeping nested-config building in __post_init__.\n- Tests cover the new extractor and BaseModelArgs config parsing.\n\nTranscription output is unchanged and still byte-identical to the reference.",
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"body": "- Segment audio with the in-tree Silero VAD (mlx_audio.vad) before\n transcription, matching the reference vad_cut path: VAD speech runs are\n turned into chunk ranges (respecting cut starts, last range to end, then\n split to chunk_size_seconds) and each chunk fills one <|AUDIO|> placeholder.\n spl\n[…]\nOptional where they default to None.\n- Add a model README.\n\nVerified against the original PyTorch model (transformers 4.51,\ntrust_remote_code) on the LibriSpeech dummy clip: identical output, WER 0.0.",
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"body": "Port the bosonai/higgs-audio-v3-stt model (model_type higgs_audio_3) to\nmlx-audio. The model pairs a Whisper-style audio encoder with a Qwen3 text\nbackbone and an MLP projector that temporally downsamples the audio features\nbefore splicing them into the text token stream.\n\n- higgs_audio_3/config.py:\n[…]\ns the unused audio-generation\n tensors.\n- Register higgs_audio_3 in the STT loader remapping.\n- Tests: tiny-config shape/forward/merge/sanitize coverage plus a gated\n real-weight transcription test.",
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"headline": "Merge pull request #807 from Lazarus-931/fix-714",
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"body": "…tion\n\nReduce Higgs v3 AR decode syncs",
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"headline": "Merge pull request #808 from sxy-trans-n/codex/higgs-v3-ar-sync-reduc…",
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"body": "perf(stt): hot-path profiling optimizations and memory/sync improvements",
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"headline": "Merge pull request #806 from hluaguo/perf/stt-pipeline-optimizations",
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"headline": "Merge pull request #801 from hluaguo/validate/lid-vad-perf",
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"detail": "735 commits in the last year",
"points": 18,
"status": "met",
"details": [
{
"code": "commits_last_year",
"params": {
"count": 735
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}
],
"max_points": 18
},
{
"key": "openssf_scorecard_maintained",
"name": "OpenSSF Scorecard: Maintained",
"detail": "30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "release_discipline",
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"name": "Release discipline",
"note": "Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"openssf_scorecard_signed_releases"
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}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 100,
"inputs": {
"releases_count": 26,
"latest_release_tag": "v0.4.6",
"releases_from_tags": false,
"days_since_latest_release": 5,
"mean_days_between_releases": 20.4
},
"components": [
{
"key": "ships_releases",
"name": "Ships releases",
"detail": "26 releases published",
"points": 27,
"status": "met",
"details": [
{
"code": "releases_published",
"params": {
"count": 26
}
}
],
"max_points": 27
},
{
"key": "release_recency",
"name": "Release recency",
"detail": "latest release 5 days ago",
"points": 36,
"status": "met",
"details": [
{
"code": "release_recency",
"params": {
"days": 5
}
}
],
"max_points": 36
},
{
"key": "release_cadence",
"name": "Release cadence",
"detail": "a release every ~20.4 days",
"points": 27,
"status": "met",
"details": [
{
"code": "release_cadence",
"params": {
"gap": 20.4
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}
],
"max_points": 27
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{
"key": "openssf_scorecard_signed_releases",
"name": "OpenSSF Scorecard: Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
}
]
},
{
"key": "abandonment",
"band": "excellent",
"name": "Abandonment",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"cap": null,
"state": "maintained",
"guards": [],
"signals": [],
"red_flag": false,
"multiplier_pct": 100,
"declared_reason": null,
"unverified_reason": null,
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"days_since_last_human_commit_is_floor": false
},
"components": [
{
"key": "project_is_still_maintained",
"name": "Project is still maintained",
"detail": "last human commit 1 days ago",
"points": 100,
"status": "met",
"details": [
{
"code": "abandonment_maintained",
"params": {
"days": 1
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}
],
"max_points": 100
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]
}
],
"description": "Is the project alive — is code being written and are releases shipping?"
},
{
"key": "community",
"band": "good",
"name": "Community & Adoption",
"value": 80,
"weight": 0.18,
"metrics": [
{
"key": "popularity",
"band": "excellent",
"name": "Popularity & adoption",
"note": null,
"notes": [],
"value": 93,
"inputs": {
"forks": 680,
"stars": 7654,
"watchers": 53,
"growth_state": "unverified",
"growth_factor_pct": 100,
"growth_unverified_reason": "no_history"
},
"components": [
{
"key": "stars",
"name": "Stars",
"detail": "7,654 stars",
"points": 60,
"status": "met",
"details": [
{
"code": "stars",
"params": {
"count": 7654
}
}
],
"max_points": 60
},
{
"key": "forks",
"name": "Forks",
"detail": "680 forks",
"points": 23.6,
"status": "partial",
"details": [
{
"code": "forks",
"params": {
"count": 680
}
}
],
"max_points": 25
},
{
"key": "watchers",
"name": "Watchers",
"detail": "53 watchers",
"points": 9.5,
"status": "partial",
"details": [
{
"code": "watchers",
"params": {
"count": 53
}
}
],
"max_points": 15
}
]
},
{
"key": "community_health",
"band": "moderate",
"name": "Community health",
"note": null,
"notes": [],
"value": 57,
"inputs": {
"has_readme": true,
"has_license": true,
"has_contributing": false,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": true
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
"details": [],
"max_points": 22.5
},
{
"key": "license",
"name": "License",
"detail": "recognized license (MIT)",
"points": 22.5,
"status": "met",
"details": [
{
"code": "license_standard",
"params": {}
},
{
"code": "license_spdx",
"params": {
"spdx": "MIT"
}
}
],
"max_points": 22.5
},
{
"key": "contributing_guide",
"name": "CONTRIBUTING guide",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 18
},
{
"key": "code_of_conduct",
"name": "Code of conduct",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 13.5
},
{
"key": "issue_template",
"name": "Issue template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.2
},
{
"key": "pr_template",
"name": "PR template",
"detail": null,
"points": 6.3,
"status": "met",
"details": [],
"max_points": 6.3
}
]
},
{
"key": "ecosystem_adoption",
"band": "excellent",
"name": "Ecosystem adoption (downloads)",
"note": "Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"registry_dependents"
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}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 93,
"inputs": {
"packages": [
"mlx-audio"
],
"dependents": null,
"ecosystems": "pypi",
"total_downloads": null,
"monthly_downloads": 362747
},
"components": [
{
"key": "monthly_downloads",
"name": "Monthly downloads",
"detail": "362,747 downloads/month across pypi",
"points": 74.1,
"status": "partial",
"details": [
{
"code": "downloads_monthly",
"params": {
"count": 362747,
"ecosystems": "pypi"
}
}
],
"max_points": 80
},
{
"key": "registry_dependents",
"name": "Registry dependents",
"detail": "not reported by this ecosystem",
"points": 0,
"status": "excluded",
"details": [
{
"code": "not_reported_by_this_ecosystem",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
},
{
"key": "governance",
"band": "good",
"name": "Sustainability & Governance",
"value": 80,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
"band": "good",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 76,
"inputs": {
"bus_factor": 3,
"contributors_sampled": 99,
"top_contributor_share": 0.255
},
"components": [
{
"key": "bus_factor",
"name": "Bus factor",
"detail": "3 contributor(s) cover half of all commits",
"points": 36,
"status": "partial",
"details": [
{
"code": "bus_factor",
"params": {
"count": 3
}
}
],
"max_points": 54
},
{
"key": "commit_distribution",
"name": "Commit distribution",
"detail": "top contributor authored 26% of commits",
"points": 16.8,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 26
}
}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "99 contributors",
"points": 13.5,
"status": "met",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 99
}
}
],
"max_points": 13.5
},
{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "project has 9 contributing companies or organizations",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "good",
"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
"value": 77,
"inputs": {
"merged_prs": 426,
"open_issues": 70,
"closed_issues": 231,
"issue_closed_ratio": 0.767,
"closed_unmerged_prs": 105
},
"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "77% of issues closed",
"points": 35.9,
"status": "partial",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 77
}
}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "426/531 decided PRs merged",
"points": 30.7,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
"params": {
"merged": 426,
"decided": 531
}
}
],
"max_points": 38.25
},
{
"key": "openssf_scorecard_code_review",
"name": "OpenSSF Scorecard: Code-Review",
"detail": "Found 10/13 approved changesets -- score normalized to 7",
"points": 10.5,
"status": "partial",
"details": [],
"max_points": 15
}
]
},
{
"key": "stewardship",
"band": "good",
"name": "Ownership & stewardship",
"note": "Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"verified_domain"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 72,
"inputs": {
"followers": 1458,
"owner_type": "User",
"is_verified": null,
"owner_login": "Blaizzy",
"public_repos": 106,
"account_age_days": 3545
},
"components": [
{
"key": "ownership_backing",
"name": "Ownership backing",
"detail": "personal (user) account",
"points": 10,
"status": "partial",
"details": [
{
"code": "owner_personal",
"params": {}
}
],
"max_points": 30
},
{
"key": "verified_domain",
"name": "Verified domain",
"detail": "not applicable to user accounts",
"points": 0,
"status": "excluded",
"details": [
{
"code": "not_applicable_to_user_accounts",
"params": {}
}
],
"max_points": 20
},
{
"key": "owner_reach",
"name": "Owner reach",
"detail": "1,458 followers of Blaizzy",
"points": 22.7,
"status": "partial",
"details": [
{
"code": "owner_followers",
"params": {
"count": 1458,
"login": "Blaizzy"
}
}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "106 public repos, account ~9 yr old",
"points": 25,
"status": "met",
"details": [
{
"code": "public_repos",
"params": {
"count": 106
}
},
{
"code": "account_age_years",
"params": {
"years": 9
}
}
],
"max_points": 25
}
]
},
{
"key": "package_maintenance",
"band": "excellent",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"packages": [
"mlx-audio"
],
"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 5
},
"components": [
{
"key": "published_resolvable",
"name": "Published & resolvable",
"detail": "1 package(s) on pypi",
"points": 25,
"status": "met",
"details": [
{
"code": "packages_published",
"params": {
"count": 1,
"ecosystems": "pypi"
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}
],
"max_points": 25
},
{
"key": "publish_recency",
"name": "Publish recency",
"detail": "latest publish 5 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
"days": 5
}
}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "26 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 26
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}
],
"max_points": 20
},
{
"key": "not_deprecated",
"name": "Not deprecated",
"detail": "active, not deprecated or yanked",
"points": 20,
"status": "met",
"details": [
{
"code": "package_not_deprecated",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "excellent",
"name": "Engineering Quality",
"value": 92,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "excellent",
"name": "Engineering practices",
"note": null,
"notes": [],
"value": 94,
"inputs": {
"has_ci": true,
"has_tests": true,
"has_editorconfig": false,
"has_linter_config": true,
"has_precommit_config": true
},
"components": [
{
"key": "ci_workflows",
"name": "CI workflows",
"detail": "4 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
"params": {
"count": 4
}
}
],
"max_points": 24
},
{
"key": "tests_present",
"name": "Tests present",
"detail": null,
"points": 24,
"status": "met",
"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": ".eslintrc.json",
"points": 16,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".eslintrc.json"
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}
],
"max_points": 16
},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
"detail": null,
"points": 9.6,
"status": "met",
"details": [],
"max_points": 9.6
},
{
"key": "editorconfig",
"name": ".editorconfig",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.4
},
{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
"detail": "13 out of 13 merged PRs checked by a CI test -- score normalized to 10",
"points": 20,
"status": "met",
"details": [],
"max_points": 20
}
]
},
{
"key": "documentation",
"band": "excellent",
"name": "Documentation",
"note": null,
"notes": [],
"value": 90,
"inputs": {
"topics": [
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"audio-processing",
"mlx",
"multimodal",
"speech-recognition",
"speech-synthesis",
"speech-to-text",
"text-to-speech",
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"has_wiki": false,
"homepage": "https://blaizzy.github.io/mlx-audio/",
"has_readme": true,
"has_docs_dir": true,
"has_description": true
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 30,
"status": "met",
"details": [],
"max_points": 30
},
{
"key": "documentation_directory",
"name": "Documentation directory",
"detail": null,
"points": 25,
"status": "met",
"details": [],
"max_points": 25
},
{
"key": "documentation_homepage_site",
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"detail": "https://blaizzy.github.io/mlx-audio/",
"points": 15,
"status": "met",
"details": [],
"max_points": 15
},
{
"key": "repository_description",
"name": "Repository description",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "topics",
"name": "Topics",
"detail": "9 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
"count": 9
}
}
],
"max_points": 10
},
{
"key": "wiki",
"name": "Wiki",
"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": 58,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "at_risk",
"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": [
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"signed_releases"
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}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 47,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 16,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 2,
"scorecard_aggregate": 4.8
},
"components": [
{
"key": "binary_artifacts",
"name": "Binary-Artifacts",
"detail": "no binaries found in the repo",
"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",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "13 out of 13 merged PRs checked by a CI test -- score normalized to 10",
"points": 2.5,
"status": "met",
"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",
"detail": "Found 10/13 approved changesets -- score normalized to 7",
"points": 5.2,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 9 contributing companies or organizations",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "no update tool detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is not run on all commits -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "42 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:mlx-audio@0.4.6 runtime dependency closure — what installing the published package pulls in — 38 packages. Reachability is not analyzed.",
"notes": [
{
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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."
}
],
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},
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],
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"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/b/Blaizzy/mlx-audio.svg",
"full_name": "Blaizzy/mlx-audio",
"license_state": "standard",
"license_spdx": "MIT"
}Las puntuaciones son señales, no garantías. Reflejan prácticas públicamente visibles en GitHub; no son una auditoría de código ni una garantía de seguridad.
Los datos ausentes se excluyen y los pesos se renormalizan; nunca se puntúan como cero. La metodología es versionada y abierta: métricas v1.13.0, esquema v0.27.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — PyPI.