Registro públicoBueno
Informe de salud del softwareesquema 0.16.0 · métricas 1.13.0 · 2026-07-21 02:06 UTC
pytorch / ao
PyTorch native quantization and sparsity for training and inference
pytorch/ao tiene un índice de salud de 84 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Vitality (93/100) y la más baja, AI Readiness (69/100). Se actualizó por última vez hoy. 5 personas concentran la mayor parte del trabajo reciente.
84
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.
84
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
pytorchOrganización
13.367 seguidores70 repositorios públicosdesde ago 2016
Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
93
Actividad de desarrollo
100Excelente
Cómo se puntúa
| 36/36 | Recencia de push — último push hace 0 días |
| 36/36 | Cadencia de commits — 52/52 semanas con commits |
| 18/18 | Volumen de commits — 1170 commits en el último año |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Datos de entrada utilizados
| commits_last_year | 1170 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 52 |
Disciplina de publicación
82Bueno
Cómo se puntúa
| 27/27 | Publica versiones — 17 versiones publicadas |
| 27/36 | Recencia de las versiones — última versión hace 112 días |
| 19.8/27 | Cadencia de publicación — una versión cada ~48,8 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 17 |
| latest_release_tag | v0.17.0 |
| releases_from_tags | no |
| days_since_latest_release | 112 |
| mean_days_between_releases | 48,8 |
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?
84
Popularidad y adopción
88Excelente
Cómo se puntúa
| 56.2/60 | Estrellas — 2909 estrellas |
| 22.9/25 | Forks — 565 forks |
| 9.1/15 | Observadores — 44 observadores |
Datos de entrada utilizados
| forks | 565 |
| stars | 2909 |
| watchers | 44 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Salud de la comunidad
79Bueno
Cómo se puntúa
| 22.5/22.5 | README |
| 16.9/22.5 | Licencia — archivo de licencia presente, no es una licencia reconocida |
| 18/18 | Guía CONTRIBUTING |
| 13.5/13.5 | Código de conducta |
| 0/7.2 | Plantilla de issues |
| 0/6.3 | Plantilla de PR |
Datos de entrada utilizados
| has_readme | sí |
| has_license | sí |
| has_contributing | sí |
| has_issue_template | no |
| has_code_of_conduct | sí |
| has_pull_request_template | no |
Sostenibilidad y Gobernanza
¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?
80
Resiliencia de mantenedores (factor bus)
88Excelente
Cómo se puntúa
| 45.9/54 | Factor bus — la mitad de los commits recae en 5 contribuyente(s) |
| 19/22.5 | Distribución de commits — el principal contribuyente firma el 16% de los commits |
| 13.5/13.5 | Amplitud de contribuyentes — 100 contribuyentes |
| 10/10 | OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations |
Datos de entrada utilizados
| bus_factor | 5 |
| contributors_sampled | 100 |
| top_contributor_share | 0,157 |
Capacidad de respuesta a issues y PR
69Moderado
Cómo se puntúa
| 23/46.8 | Resolución de issues — 49% de issues cerradas |
| 30.6/38.3 | Aceptación de PR — 2684/3355 PR decididos fusionados |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Datos de entrada utilizados
| merged_prs | 2684 |
| open_issues | 417 |
| closed_issues | 405 |
| issue_closed_ratio | 0,493 |
| closed_unmerged_prs | 671 |
Propiedad y custodia
80Bueno
Cómo se puntúa
| 30/30 | Respaldo de la propiedad — propiedad de una organización |
| 0/20 | Dominio verificado |
| 25/25 | Alcance del propietario — 13.367 seguidores de pytorch |
| 25/25 | Trayectoria — 70 repos públicos, cuenta de ~9 años |
Datos de entrada utilizados
| followers | 13.367 |
| owner_type | Organization |
| is_verified | — |
| owner_login | pytorch |
| public_repos | 70 |
| account_age_days | 3628 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
91
Prácticas de ingeniería
92Excelente
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 21 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 16/16 | Configuración de linter — ruff.toml |
| 9.6/9.6 | Hooks de pre-commit |
| 0/6.4 | .editorconfig |
| 18/20 | OpenSSF Scorecard: CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9 |
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://pytorch.org/ao/stable/index.html |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 12 topics |
| 0/10 | Wiki |
Datos de entrada utilizados
| topics | brrr, dtypes, inference, mx, pytorch, quantization, sparsity, training, float8, transformer, cuda, llama |
| has_wiki | no |
| homepage | https://pytorch.org/ao/stable/index.html |
| 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?
69
Postura de seguridad
61Moderado
Cómo se puntúa
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0.8/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.2/2.5 | CI-Tests — 29 out of 30 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 |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 13 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 |
| 2.2/2.5 | Licencia — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — sin datos |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 1/5 | SAST — SAST tool is not run on all commits -- score normalized to 2 |
| 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 |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Datos de entrada utilizados
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 6,1 |
Excluidos de la puntuación (sin datos o no aplicable): packaging, 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 |
| 0/25 | Dependencias indirectas libres de avisos conocidos — el conjunto transitivo no es separable de las dependencias de desarrollo y prueba en este alcance |
| 0/40 | Sin avisos pendientes — ningún aviso tiene fecha de publicación |
Datos de entrada utilizados
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 14 |
| unassessed_packages | 34 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluidos de la puntuación (sin datos o no aplicable): Dependencias indirectas libres de avisos conocidos, Sin avisos pendientes. Los pesos restantes se han renormalizado. Se cotejaron 14 dependencias resueltas con OSV. 34 no pudieron evaluarse: sin versión resuelta, ecosistema no admitido o fuera de la lista de paquetes informada. Este repositorio no publica ningún paquete que el índice resuelva, por lo que se evaluó en su lugar el grafo de dependencias del repositorio. Ese grafo mezcla fijaciones de desarrollo y prueba con las dependencias distribuidas, de modo que solo se puntúan las dependencias declaradas en tiempo de ejecución; los hallazgos transitivos se informan como contexto y quedan excluidos de la puntuación. 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.
69
Contexto y guía para agentes
100Excelente
Cómo se puntúa
| 45/45 | Instrucciones para agentes — CLAUDE.md |
| 15/15 | Documentación legible por máquinas (llms.txt) — llms.txt presente |
| 0/40 | Historial de commits legible — sin datos |
Datos de entrada utilizados
| has_llms_txt | sí |
| legible_history_share | — |
| agent_instruction_files | CLAUDE.md |
| agent_instruction_max_bytes | 2014 |
Excluidos de la puntuación (sin datos o no aplicable): Historial de commits legible. Los pesos restantes se han renormalizado.
Cómo se puntúa
| 18/18 | Arranque con un solo comando — docs/Makefile, torchao/experimental/kernels/mps/test/Makefile |
| 22/22 | Pruebas automatizadas |
| 11/11 | Configuración de lint / formato — ruff.toml |
| 0/11 | Verificación estática de tipos |
| 0/10 | Entorno reproducible |
| 0/10 | Práctica demostrada con agentes — sin datos |
| 0/8 | Mantenimiento automatizado — sin datos |
| 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 | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | docs/Makefile, torchao/experimental/kernels/mps/test/Makefile |
| has_devcontainer | no |
| has_linter_config | sí |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Excluidos de la puntuación (sin datos o no aplicable): Práctica demostrada con agentes, Mantenimiento automatizado. Los pesos restantes se han renormalizado.
Legibilidad del código para modelos
54Moderado
Cómo se puntúa
| 0/45 | Código verificable por tipos — Python sin configuración de verificación de tipos |
| 54/55 | Tamaños de archivo manejables — 16/885 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 162.563 |
| source_files_sampled | 885 |
| oversized_source_files | 16 |
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
2909estrellas de GitHub
100contribuidores
1170commits en los últimos 12 meses
0días desde el último push
17versiones publicadas
5factor bus
417issues abiertas
PyPIecosistemas de paquetes
Advertencias de recopilación de datos
- Could not fetch pypi package 'torchao._C_mxfp8' from its registry
Más detalle
OpenSSF Scorecard 6.1 / 10
6.1agregado
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 |
| 1 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 9 | CI-Tests | 29 out of 30 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 |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 13 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 |
| 9 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| n/d | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 2 | SAST | SAST tool is not run on all commits -- score normalized to 2 |
| 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 |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Todas las dependencias 48
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 0 paquetes directos y 48 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|---|---|---|
| PyPI | auto-round | — | indirecta |
| PyPI | bitsandbytes | — | indirecta |
| PyPI | blobfile | — | indirecta |
| PyPI | cmake | — | indirecta |
| PyPI | datasets | — | indirecta |
| PyPI | diskcache | — | indirecta |
| PyPI | docutils | 0.20 | indirecta |
| PyPI | expecttest | — | indirecta |
| PyPI | fastapi | — | indirecta |
| PyPI | fire | — | indirecta |
| PyPI | hydra-core | — | indirecta |
| PyPI | hypothesis | — | indirecta |
| PyPI | importlib-metadata | — | indirecta |
| PyPI | iopath | — | indirecta |
| PyPI | lm-eval | — | indirecta |
| PyPI | matplotlib | — | indirecta |
| PyPI | myst-parser | 4.0.1 | indirecta |
| PyPI | ninja | — | indirecta |
| PyPI | numpy | — | indirecta |
| PyPI | opencv-python | — | indirecta |
| PyPI | packaging | — | indirecta |
| PyPI | pandas | — | indirecta |
| PyPI | parameterized | — | indirecta |
| PyPI | pre-commit | — | indirecta |
| PyPI | pycocotools | — | indirecta |
| PyPI | pytest | 9.0.3 | indirecta |
| PyPI | python-multipart | — | indirecta |
| PyPI | pytorch-sphinx-theme2 | 0.4.3 | indirecta |
| PyPI | pyyaml | — | indirecta |
| PyPI | requests | — | indirecta |
| PyPI | ruff | 0.11.6 | indirecta |
| PyPI | scipy | — | indirecta |
| PyPI | sentencepiece | — | indirecta |
| PyPI | sphinx | 7.2.6 | indirecta |
| PyPI | sphinx-copybutton | 0.5.2 | indirecta |
| PyPI | sphinx-design | 0.6.1 | indirecta |
| PyPI | sphinx-gallery | 0.11.1 | indirecta |
| PyPI | sphinx-sitemap | 2.6.0 | indirecta |
| PyPI | sphinx-tabs | 3.4.7 | indirecta |
| PyPI | sphinxcontrib-katex | 0.8.6 | indirecta |
| PyPI | sphinxcontrib-mermaid | 1.0.0 | indirecta |
| PyPI | sphinxext-opengraph | 0.9.1 | indirecta |
| PyPI | tabulate | — | indirecta |
| PyPI | tiktoken | — | indirecta |
| PyPI | tqdm | — | indirecta |
| PyPI | transformers | — | indirecta |
| PyPI | unittest-xml-reporting | — | indirecta |
| PyPI | uvicorn | — | indirecta |
Avisos de dependencias 0
Este repositorio no publica ningún paquete que el índice resuelva, así que se evaluó su propio grafo de dependencias — 14 paquetes, que incluyen también fijaciones de desarrollo y prueba que nunca se distribuyen: 0 tienen avisos conocidos, de los cuales 0 son directas. 34 no pudieron evaluarse: sin versión resuelta, ecosistema no admitido, o fuera de la lista de paquetes informada.
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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{
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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": [
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],
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"schema_version": "0.16.0",
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}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 v0.16.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas.