Registro públicoBueno
Informe de salud del softwareesquema 0.17.0 · métricas 1.13.0 · 2026-07-21 04:42 UTC
NVIDIA / TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
NVIDIA/TensorRT tiene un índice de salud de 70 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Community & Adoption (88/100) y la más baja, Security (21/100). Se actualizó por última vez hace 13 días. 3 personas concentran la mayor parte del trabajo reciente.
70
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.
70
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
NVIDIA CorporationOrganización
28.173 seguidores769 repositorios públicosdesde may 2012
Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.
Ecosistemas de paquetes
| Registro | Paquete | Versión | Descargas / mes | Versiones | Última publicación | Etiquetas |
|---|---|---|---|---|---|---|
| PyPI | polygraphy | 0.50.3 | 211.647 | 12 | hace 54 días | — |
| PyPI | onnx_graphsurgeon | 0.6.1 | 719.076 | 8 | hace 103 días | — |
| PyPI | pytorch_quantizationapunta a otro repositorio; no se puntúa | 2.2.1 | - | 5 | hace 990 días | nvidiadeep-learningmachine-learningsupervised-learningunsupervised-learningreinforcement-learninglogging |
| PyPI | polygraphy_trtexec | 0.0.9 | - | 3 | hace 1062 días | — |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
76
Actividad de desarrollo
60Moderado
Cómo se puntúa
| 28.8/36 | Recencia de push — último push hace 13 días |
| 12.5/36 | Cadencia de commits — 18/52 semanas con commits |
| 12.7/18 | Volumen de commits — 25 commits en el último año |
| 0/10 | OpenSSF Scorecard: Maintained — sin datos |
Datos de entrada utilizados
| commits_last_year | 25 |
| human_commit_share | — |
| days_since_last_push | 13 |
| active_weeks_last_year | 18 |
Disciplina de publicación
100Excelente
Cómo se puntúa
| 27/27 | Publica versiones — 70 versiones publicadas |
| 36/36 | Recencia de las versiones — última versión hace 26 días |
| 27/27 | Cadencia de publicación — una versión cada ~44,3 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 70 |
| latest_release_tag | v11.1 |
| releases_from_tags | no |
| days_since_latest_release | 26 |
| mean_days_between_releases | 44,3 |
Comunidad y Adopción
¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?
88
Popularidad y adopción
97Excelente
Cómo se puntúa
| 60/60 | Estrellas — 13.169 estrellas |
| 25/25 | Forks — 2389 forks |
| 12.2/15 | Observadores — 157 observadores |
Datos de entrada utilizados
| forks | 2389 |
| stars | 13.169 |
| watchers | 157 |
| growth_state | organic |
| growth_factor_pct | 100 |
Salud de la comunidad
70Bueno
Cómo se puntúa
| 22.5/22.5 | README |
| 22.5/22.5 | Licencia — licencia reconocida (Apache-2.0) |
| 18/18 | Guía CONTRIBUTING |
| 0/13.5 | 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 | no |
| has_pull_request_template | no |
Adopción en el ecosistema (descargas)
99Excelente
Cómo se puntúa
| 79.6/80 | Descargas mensuales — 930.723 descargas/mes en pypi |
| 0/20 | Dependientes en el registro — no lo informa este ecosistema |
Datos de entrada utilizados
| packages | polygraphy, onnx_graphsurgeon, polygraphy_trtexec |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 930.723 |
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?
81
Cómo se puntúa
| 36/54 | Factor bus — la mitad de los commits recae en 3 contribuyente(s) |
| 15/22.5 | Distribución de commits — el principal contribuyente firma el 33% de los commits |
| 13.5/13.5 | Amplitud de contribuyentes — 83 contribuyentes |
| 0/10 | OpenSSF Scorecard: Contributors — sin datos |
Datos de entrada utilizados
| bus_factor | 3 |
| contributors_sampled | 83 |
| top_contributor_share | 0,334 |
Cómo se puntúa
| 40.5/46.8 | Resolución de issues — 87% de issues cerradas |
| 25.1/38.3 | Aceptación de PR — 323/492 PR decididos fusionados |
| 0/15 | OpenSSF Scorecard: Code-Review — sin datos |
Datos de entrada utilizados
| merged_prs | 323 |
| open_issues | 560 |
| closed_issues | 3657 |
| issue_closed_ratio | 0,867 |
| closed_unmerged_prs | 169 |
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 — 28.173 seguidores de NVIDIA |
| 25/25 | Trayectoria — 769 repos públicos, cuenta de ~14 años |
Datos de entrada utilizados
| followers | 28.173 |
| owner_type | Organization |
| is_verified | — |
| owner_login | NVIDIA |
| public_repos | 769 |
| account_age_days | 5184 |
Mantenimiento de paquetes
100Excelente
Cómo se puntúa
| 25/25 | Publicado y resoluble — 3 paquete(s) en pypi |
| 35/35 | Recencia de publicación — última publicación hace 54 días |
| 20/20 | Historial de versiones — 12 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
Datos de entrada utilizados
| packages | polygraphy, onnx_graphsurgeon, polygraphy_trtexec |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 54 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
74
Prácticas de ingeniería
80Bueno
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 5 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 16/16 | Configuración de linter — .pylintrc |
| 0/9.6 | Hooks de pre-commit |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — sin datos |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | sí |
| has_precommit_config | no |
Documentación
65Moderado
Cómo se puntúa
| 30/30 | README |
| 0/25 | Directorio de documentación |
| 15/15 | Sitio de documentación / página del proyecto — https://developer.nvidia.com/tensorrt |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 5 topics |
| 0/10 | Wiki |
Datos de entrada utilizados
| topics | tensorrt, nvidia, deep-learning, inference, gpu-acceleration |
| has_wiki | no |
| homepage | https://developer.nvidia.com/tensorrt |
| has_readme | sí |
| has_docs_dir | no |
| has_description | sí |
Seguridad
¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?
21
Postura de seguridad
1Crítico
Cómo se puntúa
| 0/30 | Política de seguridad (SECURITY.md) |
| 0/25 | Configuración de Dependabot |
| 0/25 | Lockfiles de dependencias — biblioteca publicada — los lockfiles son cosa de las aplicaciones, no se esperan aquí |
| 0/20 | Flujo de trabajo de CodeQL |
Datos de entrada utilizados
| source | file_signals |
| lockfiles | — |
| manifests | python/requirements.txt |
| has_codeql_workflow | no |
| has_security_policy | no |
| has_dependabot_config | no |
Excluidos de la puntuación (sin datos o no aplicable): Lockfiles de dependencias. 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 | 744 |
| affected_packages | 29 |
| assessed_packages | 75 |
| unassessed_packages | 50 |
| affected_by_severity | critical 8, high 7, moderate 2, unknown 12 |
| 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 75 dependencias resueltas con OSV. 50 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.
54
Contexto y guía para agentes
1Crítico
Cómo se puntúa
| 0/45 | Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 0/40 | Historial de commits legible — sin datos |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
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 — quickstart/Makefile, quickstart/SemanticSegmentation/Makefile, tools/Polygraphy/Makefile, tools/onnx-graphsurgeon/Makefile, tools/polygraphy-extension-trtexec/Makefile, tools/pytorch-quantization/docs/Makefile, tools/tensorflow-quantization/docs/Makefile |
| 22/22 | Pruebas automatizadas |
| 11/11 | Configuración de lint / formato — .pylintrc |
| 11/11 | Verificación estática de tipos — C++ (tipado estático) |
| 0/10 | Entorno reproducible |
| 0/10 | Práctica demostrada con agentes — sin datos |
| 0/8 | Mantenimiento automatizado — sin datos |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — sin datos |
Datos de entrada utilizados
| has_nix | no |
| has_tests | sí |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | sí |
| bootstrap_files | quickstart/Makefile, quickstart/SemanticSegmentation/Makefile, tools/Polygraphy/Makefile, tools/onnx-graphsurgeon/Makefile, tools/polygraphy-extension-trtexec/Makefile, tools/pytorch-quantization/docs/Makefile, tools/tensorflow-quantization/docs/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
90Excelente
Cómo se puntúa
| 45/45 | Código verificable por tipos — C++ (tipado estático) |
| 44.8/55 | Tamaños de archivo manejables — 199/1073 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | C++ |
| largest_source_bytes | 3.041.274 |
| source_files_sampled | 1073 |
| oversized_source_files | 199 |
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, notebooks, samples |
Datos de entrada utilizados
| example_dirs | examples, notebooks, samples |
| has_mcp_signal | no |
| api_schema_files | — |
Datos clave
13.169estrellas de GitHub
83contribuidores
25commits en los últimos 12 meses
13días desde el último push
70versiones publicadas
3factor bus
560issues abiertas
PyPIecosistemas de paquetes
Advertencias de recopilación de datos
- pypi package 'pytorch_quantization' points at a different repository (https://github.com/NVIDIA); excluded from ecosystem scoring
- Could not fetch pypi package 'tensorflow_quantization' from its registry
- Advisory severity resolved for 120 of 422 advisories (lookup cap); the remainder are reported as unknown severity
- OpenSSF Scorecard did not return a usable result (2026/07/21 04:41:52 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks
Más detalle
Historial de estrellas y forks 13.169 ★ / 0 ⇿
13.169Estrellas
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.
Solo se muestra el historial más reciente: este repositorio supera la ventana de recopilación, por lo que no se captura el historial más antiguo.
Todas las dependencias 125
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 0 paquetes directos y 125 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|---|---|---|
| PyPI | absl-py | — | indirecta |
| PyPI | accelerate | 1.2.1 | indirecta |
| PyPI | apex | 0.9.10dev | indirecta |
| PyPI | argparse | — | indirecta |
| PyPI | build | 1.0.0 | indirecta |
| PyPI | colored | — | indirecta |
| PyPI | colored | 2.3.2 | indirecta |
| PyPI | controlnet-aux | 0.0.6 | indirecta |
| PyPI | cuda-bindings | — | indirecta |
| PyPI | cuda-python | — | indirecta |
| PyPI | cuda-python | 12.9.0 | indirecta |
| PyPI | cupy-cuda12x | — | indirecta |
| PyPI | cupy-cuda12x | 13.6.0 | indirecta |
| PyPI | diffusers | 0.35.2 | indirecta |
| PyPI | docutils | 0.16 | indirecta |
| PyPI | docutils | 0.18.1 | indirecta |
| PyPI | ftfy | — | indirecta |
| PyPI | furo | 2024.8.6 | indirecta |
| PyPI | gcloud | — | indirecta |
| PyPI | google-cloud-storage | — | indirecta |
| PyPI | huggingface-hub | 0.11.0 | indirecta |
| PyPI | huggingface-hub | 0.4.0 | indirecta |
| PyPI | imageio-ffmpeg | — | indirecta |
| PyPI | matplotlib | — | indirecta |
| PyPI | ml-dtypes | — | indirecta |
| PyPI | mpi4py | 4.1.1 | indirecta |
| PyPI | myst-parser | 3.0.1 | indirecta |
| PyPI | nccl4py | 0.1.1 | indirecta |
| PyPI | nltk | 3.9.1 | indirecta |
| PyPI | numba | — | indirecta |
| PyPI | numba-cuda | — | indirecta |
| PyPI | numpy | — | indirecta |
| PyPI | numpy | 1.23.0 | indirecta |
| PyPI | numpy | 1.23.1 | indirecta |
| PyPI | numpy | 1.26.4 | indirecta |
| PyPI | nvidia-cutlass-dsl | 4.5.0 | indirecta |
| PyPI | nvidia-modelopt | 0.31.0 | indirecta |
| PyPI | nvidia-modelopt | 0.35.0 | indirecta |
| PyPI | nvidia-pyindex | — | indirecta |
| PyPI | nvidia-tensorrt | — | indirecta |
| PyPI | nvtx | — | indirecta |
| PyPI | onnx | — | indirecta |
| PyPI | onnx | 1.13.1 | indirecta |
| PyPI | onnx | 1.14.0 | indirecta |
| PyPI | onnx | 1.17.0 | indirecta |
| PyPI | onnx | 1.18.0 | indirecta |
| PyPI | onnx | 1.20.0 | indirecta |
| PyPI | onnx | 1.9.0 | indirecta |
| PyPI | onnx-graphsurgeon | — | indirecta |
| PyPI | onnx-graphsurgeon | 0.5.2 | indirecta |
| PyPI | onnxconverter-common | 1.12.2 | indirecta |
| PyPI | onnxmltools | 1.11.1 | indirecta |
| PyPI | onnxruntime | — | indirecta |
| PyPI | onnxruntime | 1.12.1 | indirecta |
| PyPI | onnxruntime | 1.15.0 | indirecta |
| PyPI | onnxruntime | 1.18.1 | indirecta |
| PyPI | onnxruntime | 1.19.2 | indirecta |
| PyPI | onnxruntime | 1.8.1 | indirecta |
| PyPI | onnxruntime-gpu | — | indirecta |
| PyPI | onnxscript | — | indirecta |
| PyPI | onnxscript | 0.5.4 | indirecta |
| PyPI | opencv-python-headless | 4.8.0.74 | indirecta |
| PyPI | peft | 0.17.0 | indirecta |
| PyPI | pillow | — | indirecta |
| PyPI | pillow | 11.3.0 | indirecta |
| PyPI | polygraphy | — | indirecta |
| PyPI | polygraphy | 0.49.0 | indirecta |
| PyPI | polygraphy | 0.49.22 | indirecta |
| PyPI | polygraphy | 0.50.1 | indirecta |
| PyPI | prettytable | — | indirecta |
| PyPI | protobuf | — | indirecta |
| PyPI | protobuf | 3.20.2 | indirecta |
| PyPI | protobuf | 3.20.3 | indirecta |
| PyPI | pycuda | — | indirecta |
| PyPI | pytest | — | indirecta |
| PyPI | pytest-console-scripts | — | indirecta |
| PyPI | pytest-rerunfailures | — | indirecta |
| PyPI | pytest-virtualenv | — | indirecta |
| PyPI | pytest-xdist | — | indirecta |
| PyPI | pywin32 | — | indirecta |
| PyPI | pyyaml | — | indirecta |
| PyPI | pyyaml | 6.0.3 | indirecta |
| PyPI | requests | 2.25.1 | indirecta |
| PyPI | requests | 2.32.4 | indirecta |
| PyPI | requests | 2.33.0 | indirecta |
| PyPI | scipy | — | indirecta |
| PyPI | sentencepiece | — | indirecta |
| PyPI | sentencepiece | 0.1.95 | indirecta |
| PyPI | sentencepiece | 0.1.97 | indirecta |
| PyPI | setuptools | — | indirecta |
| PyPI | sphinx | 7.1.2 | indirecta |
| PyPI | sphinx-glpi-theme | — | indirecta |
| PyPI | sympy | 1.9 | indirecta |
| PyPI | tabulate | — | indirecta |
| PyPI | tensorflow | — | indirecta |
| PyPI | tensorflow-gpu | 2.8.0 | indirecta |
| PyPI | tensorrt | — | indirecta |
| PyPI | tf2onnx | — | indirecta |
| PyPI | tf2onnx | 1.10.1 | indirecta |
| PyPI | toml | — | indirecta |
| PyPI | tomli | 2.0.0 | indirecta |
| PyPI | torch | — | indirecta |
| PyPI | torch | 1.10 | indirecta |
| PyPI | torch | 1.10.2 | indirecta |
| PyPI | torch | 1.10.2+cu113 | indirecta |
| PyPI | torch | 1.11.0 | indirecta |
| PyPI | torch | 1.11.0+cu113 | indirecta |
| PyPI | torch | 1.13.1 | indirecta |
| PyPI | torch | 2.8.0 | indirecta |
| PyPI | torch | 2.9.1 | indirecta |
| PyPI | torchvision | — | indirecta |
| PyPI | torchvision | 0.11.3 | indirecta |
| PyPI | torchvision | 0.12.0 | indirecta |
| PyPI | tqdm | 4.66.4 | indirecta |
| PyPI | transformers | 4.18.0 | indirecta |
| PyPI | transformers | 4.20.0 | indirecta |
| PyPI | transformers | 4.52.4 | indirecta |
| PyPI | triton | — | indirecta |
| PyPI | triton | 3.2.0 | indirecta |
| PyPI | triton | 3.5.0 | indirecta |
| PyPI | virtualenv | — | indirecta |
| PyPI | wget | — | indirecta |
| PyPI | wget | 3.2 | indirecta |
| PyPI | wheel | — | indirecta |
| PyPI | wheel | 0.45.1 | indirecta |
Avisos de dependencias 29
Este repositorio no publica ningún paquete que el índice resuelva, así que se evaluó su propio grafo de dependencias — 75 paquetes, que incluyen también fijaciones de desarrollo y prueba que nunca se distribuyen: 29 tienen avisos conocidos, de los cuales 0 son directas. 50 no pudieron evaluarse: sin versión resuelta, ecosistema no admitido, o fuera de la lista de paquetes informada.
| Paquete | Versión | Relación | Gravedad | Avisos | Corregido en |
|---|---|---|---|---|---|
| nltk | 3.9.1 | indirecta | crítica | 18 | 3.10.0 |
| onnx | 1.13.1 | indirecta | crítica | 21 | 1.22.0 |
| onnx | 1.14.0 | indirecta | crítica | 21 | 1.22.0 |
| onnx | 1.17.0 | indirecta | crítica | 14 | 1.22.0 |
| onnx | 1.18.0 | indirecta | crítica | 13 | 1.22.0 |
| onnx | 1.20.0 | indirecta | crítica | 13 | 1.22.0 |
| onnx | 1.9.0 | indirecta | crítica | 23 | 1.22.0 |
| pillow | 11.3.0 | indirecta | crítica | 31 | 12.3.0 |
| diffusers | 0.35.2 | indirecta | alta | 5 | 0.38.0 |
| opencv-python-headless | 4.8.0.74 | indirecta | alta | 2 | 4.8.1.78 |
| protobuf | 3.20.2 | indirecta | alta | 4 | 6.33.5 |
| protobuf | 3.20.3 | indirecta | alta | 4 | 6.33.5 |
| sentencepiece | 0.1.95 | indirecta | alta | 2 | 0.2.1 |
| sentencepiece | 0.1.97 | indirecta | alta | 2 | 0.2.1 |
| tensorflow-gpu | 2.8.0 | indirecta | alta | 247 | 2.11.1 |
| requests | 2.25.1 | indirecta | moderada | 8 | 2.33.0 |
| requests | 2.32.4 | indirecta | moderada | 2 | 2.33.0 |
| torch | 1.10 | indirecta | desconocida | 30 | — |
| torch | 1.10.2 | indirecta | desconocida | 30 | — |
| torch | 1.10.2+cu113 | indirecta | desconocida | 30 | — |
| torch | 1.11.0 | indirecta | desconocida | 30 | — |
| torch | 1.11.0+cu113 | indirecta | desconocida | 30 | — |
| torch | 1.13.1 | indirecta | desconocida | 28 | — |
| torch | 2.8.0 | indirecta | desconocida | 8 | — |
| torch | 2.9.1 | indirecta | desconocida | 4 | — |
| transformers | 4.18.0 | indirecta | desconocida | 50 | — |
| transformers | 4.20.0 | indirecta | desconocida | 50 | — |
| transformers | 4.52.4 | indirecta | desconocida | 22 | — |
| wheel | 0.45.1 | indirecta | desconocida | 2 | — |
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.
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],
"max_points": 36
},
{
"key": "release_cadence",
"name": "Release cadence",
"detail": "a release every ~44.3 days",
"points": 27,
"status": "met",
"details": [
{
"code": "release_cadence",
"params": {
"gap": 44.3
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}
],
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{
"key": "openssf_scorecard_signed_releases",
"name": "OpenSSF Scorecard: Signed-Releases",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
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{
"code": "no_data",
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}
],
"max_points": 10
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]
},
{
"key": "abandonment",
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"name": "Abandonment",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"cap": null,
"state": "unverified",
"guards": [],
"signals": [],
"red_flag": false,
"multiplier_pct": 100,
"declared_reason": null,
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"unanswered_open_prs": null,
"unanswered_open_issues": null,
"days_since_last_merged_pr": null,
"days_since_last_human_commit": null,
"days_since_last_human_commit_is_floor": false
},
"components": [
{
"key": "project_is_still_maintained",
"name": "Project is still maintained",
"detail": "maintenance record not established from the collected data",
"points": 100,
"status": "met",
"details": [
{
"code": "abandonment_unverified",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Is the project alive — is code being written and are releases shipping?"
},
{
"key": "community",
"band": "excellent",
"name": "Community & Adoption",
"value": 88,
"weight": 0.18,
"metrics": [
{
"key": "popularity",
"band": "excellent",
"name": "Popularity & adoption",
"note": null,
"notes": [],
"value": 97,
"inputs": {
"forks": 2389,
"stars": 13169,
"watchers": 157,
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"growth_factor_pct": 100
},
"components": [
{
"key": "stars",
"name": "Stars",
"detail": "13,169 stars",
"points": 60,
"status": "met",
"details": [
{
"code": "stars",
"params": {
"count": 13169
}
}
],
"max_points": 60
},
{
"key": "forks",
"name": "Forks",
"detail": "2,389 forks",
"points": 25,
"status": "met",
"details": [
{
"code": "forks",
"params": {
"count": 2389
}
}
],
"max_points": 25
},
{
"key": "watchers",
"name": "Watchers",
"detail": "157 watchers",
"points": 12.2,
"status": "partial",
"details": [
{
"code": "watchers",
"params": {
"count": 157
}
}
],
"max_points": 15
}
]
},
{
"key": "community_health",
"band": "good",
"name": "Community health",
"note": null,
"notes": [],
"value": 70,
"inputs": {
"has_readme": true,
"has_license": true,
"has_contributing": true,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
"details": [],
"max_points": 22.5
},
{
"key": "license",
"name": "License",
"detail": "recognized license (Apache-2.0)",
"points": 22.5,
"status": "met",
"details": [
{
"code": "license_standard",
"params": {}
},
{
"code": "license_spdx",
"params": {
"spdx": "Apache-2.0"
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}
],
"max_points": 22.5
},
{
"key": "contributing_guide",
"name": "CONTRIBUTING guide",
"detail": null,
"points": 18,
"status": "met",
"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": 0,
"status": "missed",
"details": [],
"max_points": 6.3
}
]
},
{
"key": "ecosystem_adoption",
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"note": "Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
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}
],
"value": 99,
"inputs": {
"packages": [
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"onnx_graphsurgeon",
"polygraphy_trtexec"
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"dependents": null,
"ecosystems": "pypi",
"total_downloads": null,
"monthly_downloads": 930723
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"components": [
{
"key": "monthly_downloads",
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"detail": "930,723 downloads/month across pypi",
"points": 79.6,
"status": "partial",
"details": [
{
"code": "downloads_monthly",
"params": {
"count": 930723,
"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": 81,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
"band": "good",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 72,
"inputs": {
"bus_factor": 3,
"contributors_sampled": 83,
"top_contributor_share": 0.334
},
"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",
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"detail": "top contributor authored 33% of commits",
"points": 15,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 33
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}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "83 contributors",
"points": 13.5,
"status": "met",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 83
}
}
],
"max_points": 13.5
},
{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "good",
"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
"value": 77,
"inputs": {
"merged_prs": 323,
"open_issues": 560,
"closed_issues": 3657,
"issue_closed_ratio": 0.867,
"closed_unmerged_prs": 169
},
"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "87% of issues closed",
"points": 40.5,
"status": "partial",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 87
}
}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "323/492 decided PRs merged",
"points": 25.1,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
"params": {
"merged": 323,
"decided": 492
}
}
],
"max_points": 38.25
},
{
"key": "openssf_scorecard_code_review",
"name": "OpenSSF Scorecard: Code-Review",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 15
}
]
},
{
"key": "stewardship",
"band": "good",
"name": "Ownership & stewardship",
"note": null,
"notes": [],
"value": 80,
"inputs": {
"followers": 28173,
"owner_type": "Organization",
"is_verified": null,
"owner_login": "NVIDIA",
"public_repos": 769,
"account_age_days": 5184
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"components": [
{
"key": "ownership_backing",
"name": "Ownership backing",
"detail": "organization-owned",
"points": 30,
"status": "met",
"details": [
{
"code": "owner_organization",
"params": {}
}
],
"max_points": 30
},
{
"key": "verified_domain",
"name": "Verified domain",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "owner_reach",
"name": "Owner reach",
"detail": "28,173 followers of NVIDIA",
"points": 25,
"status": "met",
"details": [
{
"code": "owner_followers",
"params": {
"count": 28173,
"login": "NVIDIA"
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}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "769 public repos, account ~14 yr old",
"points": 25,
"status": "met",
"details": [
{
"code": "public_repos",
"params": {
"count": 769
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},
{
"code": "account_age_years",
"params": {
"years": 14
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}
],
"max_points": 25
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]
},
{
"key": "package_maintenance",
"band": "excellent",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
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"onnx_graphsurgeon",
"polygraphy_trtexec"
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"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 54
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"components": [
{
"key": "published_resolvable",
"name": "Published & resolvable",
"detail": "3 package(s) on pypi",
"points": 25,
"status": "met",
"details": [
{
"code": "packages_published",
"params": {
"count": 3,
"ecosystems": "pypi"
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}
],
"max_points": 25
},
{
"key": "publish_recency",
"name": "Publish recency",
"detail": "latest publish 54 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
"days": 54
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}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "12 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 12
}
}
],
"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": "good",
"name": "Engineering Quality",
"value": 74,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "good",
"name": "Engineering practices",
"note": null,
"notes": [],
"value": 80,
"inputs": {
"has_ci": true,
"has_tests": true,
"has_editorconfig": false,
"has_linter_config": true,
"has_precommit_config": false
},
"components": [
{
"key": "ci_workflows",
"name": "CI workflows",
"detail": "5 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
"params": {
"count": 5
}
}
],
"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": ".pylintrc",
"points": 16,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".pylintrc"
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}
],
"max_points": 16
},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
"detail": null,
"points": 0,
"status": "missed",
"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": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 20
}
]
},
{
"key": "documentation",
"band": "moderate",
"name": "Documentation",
"note": null,
"notes": [],
"value": 65,
"inputs": {
"topics": [
"tensorrt",
"nvidia",
"deep-learning",
"inference",
"gpu-acceleration"
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"has_wiki": false,
"homepage": "https://developer.nvidia.com/tensorrt",
"has_readme": true,
"has_docs_dir": false,
"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": 0,
"status": "missed",
"details": [],
"max_points": 25
},
{
"key": "documentation_homepage_site",
"name": "Documentation / homepage site",
"detail": "https://developer.nvidia.com/tensorrt",
"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": "5 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
"count": 5
}
}
],
"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": "critical",
"name": "Security",
"value": 21,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "critical",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"dependency_lockfiles"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 1,
"inputs": {
"source": "file_signals",
"lockfiles": [],
"manifests": [
"python/requirements.txt"
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"has_codeql_workflow": false,
"has_security_policy": false,
"has_dependabot_config": false
},
"components": [
{
"key": "security_policy_security_md",
"name": "Security policy (SECURITY.md)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 30
},
{
"key": "dependabot_config",
"name": "Dependabot config",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 25
},
{
"key": "dependency_lockfiles",
"name": "Dependency lockfiles",
"detail": "published library — lockfiles are an application concern, not expected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "lockfiles_not_expected",
"params": {}
}
],
"max_points": 25
},
{
"key": "codeql_workflow",
"name": "CodeQL workflow",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 75 resolved dependencies against OSV; 50 could not be assessed (no resolved version, an unsupported ecosystem, or beyond the reported package list). This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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"no_advisories_left_outstanding"
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}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_repository",
"params": {
"assessed": 75
}
},
{
"code": "advisories_unassessed",
"params": {
"count": 50
}
},
{
"code": "advisories_repo_graph_caveat",
"params": {}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 744,
"affected_packages": 29,
"assessed_packages": 75,
"unassessed_packages": 50,
"affected_by_severity": "critical 8, high 7, moderate 2, unknown 12",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "transitive set not separable from development and test dependencies in this scope",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_scope_not_separable",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 75,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 6
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "moderate",
"name": "AI Readiness",
"value": 54,
"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": {}
}
],
"value": 1,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"max_points": 45
},
{
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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 v0.17.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — PyPI.