PythonApache-2.0★ 645 estrellas⑂ 42 forksdesde abr 2021Ver en GitHub ↗
google-deepmind/distrax tiene un índice de salud de 64 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Sustainability & Governance (75/100) y la más baja, AI Readiness (29/100). Se actualizó por última vez hoy. 3 personas concentran la mayor parte del trabajo reciente.
64
global / 100
Moderado
Índice 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.
64
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.
¿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.
Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
No resolved dependencies carried a version and a supported ecosystem
Más detalle
Historial de estrellas y forks 0 ★ / 42 ⇿
0Estrellas
42Forks
15Versiones
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 1Parche 14
Cada punto abarca 5 días.
OpenSSF Scorecard 4.7 / 10
4.7agregado
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).Scorecard v5.5.0 · 2026-07-30 22:25 UTC
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 6 paquetes directos y 0 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
Registro
Paquete
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Relación
PyPI
absl-py
—
directa
PyPI
chex
—
directa
PyPI
jax
—
directa
PyPI
jaxlib
—
directa
PyPI
numpy
—
directa
PyPI
tfp-nightly
—
directa
Avisos de dependencias sin evaluar
El cotejo de avisos no pudo ejecutarse para este informe: No resolved dependencies carried a version and a supported ecosystem
Informe JSON sin procesar legible por máquina
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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 v0.27.0 — metodología completa · wiki de métricas.
