Registro públicoModerado
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-30 11:27 UTC
bytedance / xpu-perf
[HPCA 2026] AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and versatility of software and hardware.
bytedance/xpu-perf tiene un índice de salud de 51 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Sustainability & Governance (69/100) y la más baja, Security (16/100). Se actualizó por última vez hace 99 días. 2 personas concentran la mayor parte del trabajo reciente.
51
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.
51
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
Bytedance Inc.Organización
18.616 seguidores414 repositorios públicosdesde abr 2013
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?
41
Actividad de desarrollo
33En riesgo
Cómo se puntúa
| 9.9/36 | Recencia de push — último push hace 99 días |
| 6.9/36 | Cadencia de commits — 10/52 semanas con commits |
| 13.3/18 | Volumen de commits — 29 commits en el último año |
| 0/10 | OpenSSF Scorecard: Maintained — sin datos |
Datos de entrada utilizados
| commits_last_year | 29 |
| human_commit_share | 1 |
| days_since_last_push | 99 |
| active_weeks_last_year | 10 |
Disciplina de publicación
52Moderado
Cómo se puntúa
| 27/27 | Publica versiones — 1 versiones publicadas |
| 7.2/36 | Recencia de las versiones — última versión hace 703 días |
| 12.6/27 | Cadencia de publicación — cadencia desconocida (una sola versión) |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 1 |
| latest_release_tag | v1.0.0 |
| releases_from_tags | no |
| days_since_latest_release | 703 |
| mean_days_between_releases | — |
Comunidad y Adopción
¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?
67
Popularidad y adopción
65Moderado
Cómo se puntúa
| 41.6/60 | Estrellas — 370 estrellas |
| 17.6/25 | Forks — 130 forks |
| 5.8/15 | Observadores — 12 observadores |
Datos de entrada utilizados
| forks | 130 |
| stars | 370 |
| watchers | 12 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
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 |
Sostenibilidad y Gobernanza
¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?
69
Resiliencia de mantenedores (factor bus)
58Moderado
Cómo se puntúa
| 25.2/54 | Factor bus — la mitad de los commits recae en 2 contribuyente(s) |
| 13.9/22.5 | Distribución de commits — el principal contribuyente firma el 38% de los commits |
| 13.5/13.5 | Amplitud de contribuyentes — 15 contribuyentes |
| 0/10 | OpenSSF Scorecard: Contributors — sin datos |
Datos de entrada utilizados
| bus_factor | 2 |
| contributors_sampled | 15 |
| top_contributor_share | 0,382 |
Cómo se puntúa
| 31.8/46.8 | Resolución de issues — 68% de issues cerradas |
| 29.8/38.3 | Aceptación de PR — 88/113 PR decididos fusionados |
| 0/15 | OpenSSF Scorecard: Code-Review — sin datos |
Datos de entrada utilizados
| merged_prs | 88 |
| open_issues | 24 |
| closed_issues | 51 |
| issue_closed_ratio | 0,68 |
| closed_unmerged_prs | 25 |
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 — 18.616 seguidores de bytedance |
| 25/25 | Trayectoria — 414 repos públicos, cuenta de ~13 años |
Datos de entrada utilizados
| followers | 18.616 |
| owner_type | Organization |
| is_verified | — |
| owner_login | bytedance |
| public_repos | 414 |
| account_age_days | 4854 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
56
Prácticas de ingeniería
50Moderado
Cómo se puntúa
| 0/24 | Flujos de trabajo de CI |
| 24/24 | Pruebas presentes |
| 16/16 | Configuración de linter — .flake8, .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 | no |
| 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://xpu-perf.ai/ |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 1 topics |
| 0/10 | Wiki |
Datos de entrada utilizados
| topics | python |
| has_wiki | no |
| homepage | https://xpu-perf.ai/ |
| 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?
16
Postura de seguridad
1Crítico
Cómo se puntúa
| 0/30 | Política de seguridad (SECURITY.md) |
| 0/25 | Configuración de Dependabot |
| 0/25 | Lockfiles de dependencias |
| 0/20 | Flujo de trabajo de CodeQL |
Datos de entrada utilizados
| source | file_signals |
| lockfiles | — |
| manifests | pyproject.toml |
| has_codeql_workflow | no |
| has_security_policy | no |
| has_dependabot_config | no |
Avisos de dependencias
74Bueno
Cómo se puntúa
| 20.2/35 | Dependencias directas libres de avisos conocidos — 1 afectados: numpy 1.19.2 (moderate 5.3) |
| 0/25 | Dependencias indirectas libres de avisos conocidos — el conjunto transitivo no es separable de las dependencias de desarrollo y prueba en este alcance |
| 35.3/40 | Sin avisos pendientes — 1 paquete(s) con avisos sin atender más allá de 90 días; el más antiguo publicado hace 1685 días |
Datos de entrada utilizados
| source | osv |
| advisories | 1854 |
| affected_packages | 18 |
| assessed_packages | 38 |
| unassessed_packages | 52 |
| affected_by_severity | critical 9, high 7, moderate 2 |
| direct_affected_packages | 1 |
Excluidos de la puntuación (sin datos o no aplicable): Dependencias indirectas libres de avisos conocidos. Los pesos restantes se han renormalizado. Se cotejaron 38 dependencias resueltas con OSV. 52 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.
62
Contexto y guía para agentes
20Crítico
Cómo se puntúa
| 0/45 | Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 19.7/40 | Historial de commits legible — 37 de 100 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | 0,37 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Cómo se puntúa
| 18/18 | Arranque con un solo comando — projects/train_perf/Megatron-LM/megatron/core/datasets/Makefile |
| 22/22 | Pruebas automatizadas |
| 11/11 | Configuración de lint / formato — .flake8, .pylintrc |
| 11/11 | Verificación estática de tipos — projects/train_perf/Megatron-LM/mypy.ini |
| 10/10 | Entorno reproducible — Dockerfile |
| 0/10 | Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 100 |
| 0/8 | Mantenimiento automatizado — no se observan actualizaciones automáticas de dependencias |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — sin datos |
Datos de entrada utilizados
| has_nix | no |
| has_tests | sí |
| lockfiles | — |
| has_dockerfile | sí |
| typed_language | no |
| bootstrap_files | projects/train_perf/Megatron-LM/megatron/core/datasets/Makefile |
| has_devcontainer | no |
| has_linter_config | sí |
| typecheck_configs | projects/train_perf/Megatron-LM/mypy.ini |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Cómo se puntúa
| 27/45 | Código verificable por tipos — Python con configuración de verificación de tipos (projects/train_perf/Megatron-LM/mypy.ini) |
| 54.4/55 | Tamaños de archivo manejables — 8/757 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 132.791 |
| source_files_sampled | 757 |
| oversized_source_files | 8 |
Cómo se puntúa
| 40/40 | Esquema de API (OpenAPI/GraphQL/proto) — projects/infer_perf/llm_perf/server/server.proto |
| 0/20 | Servidor MCP |
| 40/40 | Ejemplos ejecutables — examples, recipes |
Datos de entrada utilizados
| example_dirs | examples, recipes |
| has_mcp_signal | no |
| api_schema_files | projects/infer_perf/llm_perf/server/server.proto |
Datos clave
370estrellas de GitHub
15contribuidores
29commits en los últimos 12 meses
99días desde el último push
1versiones publicadas
2factor bus
24issues abiertas
PyPIecosistemas de paquetes
Advertencias de recopilación de datos
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- Could not fetch pypi package 'xpu-perf' from its registry
- Advisory severity resolved for 120 of 731 advisories (lookup cap); the remainder are reported as unknown severity
- OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks
Más detalle
Historial de estrellas y forks 0 ★ / 130 ⇿
0Estrellas
130Forks
1Versiones
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 1Menor 0Parche 0
Cada punto abarca 3 días.
Dependencias directas 5
| Registro | Paquete | Restricción de versión | Manifiesto |
|---|---|---|---|
| PyPI | prettytable | — | pyproject.toml |
| PyPI | jsonlines | — | pyproject.toml |
| PyPI | flask | — | pyproject.toml |
| PyPI | requests | — | pyproject.toml |
| PyPI | numpy | <=1.26.4 | pyproject.toml |
Todas las dependencias 90
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 8 paquetes directos y 82 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|---|---|---|
| PyPI | flask | — | directa |
| PyPI | jsonlines | — | directa |
| PyPI | numpy | — | directa |
| PyPI | numpy | 1.19.2 | directa |
| PyPI | numpy | 1.23.0 | directa |
| PyPI | numpy | 1.23.4 | directa |
| PyPI | prettytable | — | directa |
| PyPI | requests | — | directa |
| PyPI | accelerate | — | indirecta |
| PyPI | attrs | 21.2.0 | indirecta |
| PyPI | backoff | — | indirecta |
| PyPI | bert | — | indirecta |
| PyPI | bert-tensorflow | 1.0.1 | indirecta |
| PyPI | black | 23.1.0 | indirecta |
| PyPI | decorator | — | indirecta |
| PyPI | einops | — | indirecta |
| PyPI | flask-restful | — | indirecta |
| PyPI | fpdf | — | indirecta |
| PyPI | google-api-python-client | — | indirecta |
| PyPI | google-cloud-core | 2.3.2 | indirecta |
| PyPI | graphviz | 0.8.4 | indirecta |
| PyPI | grpcio | — | indirecta |
| PyPI | isort | — | indirecta |
| PyPI | keras2onnx | — | indirecta |
| PyPI | matplotlib | — | indirecta |
| PyPI | matplotlib | 3.3.4 | indirecta |
| PyPI | matplotlib | 3.4.2 | indirecta |
| PyPI | multipledispatch | — | indirecta |
| PyPI | mypy-protobuf | 2.8 | indirecta |
| PyPI | nltk | — | indirecta |
| PyPI | nvidia-modelopt | — | indirecta |
| PyPI | onnx | — | indirecta |
| PyPI | onnx | 1.12.0 | indirecta |
| PyPI | onnx | 1.13.1 | indirecta |
| PyPI | onnxconverter-common | 1.12.2 | indirecta |
| PyPI | onnxruntime | — | indirecta |
| PyPI | onnxruntime | 1.12.0 | indirecta |
| PyPI | opencv-python | — | indirecta |
| PyPI | opencv-python-headless | — | indirecta |
| PyPI | packaging | — | indirecta |
| PyPI | pandas | — | indirecta |
| PyPI | pandas | 1.3.3 | indirecta |
| PyPI | pandas | 1.5.1 | indirecta |
| PyPI | prompt-toolkit | — | indirecta |
| PyPI | protobuf | — | indirecta |
| PyPI | protobuf | 3.19.4 | indirecta |
| PyPI | protobuf | 3.19.6 | indirecta |
| PyPI | protobuf | 3.20.2 | indirecta |
| PyPI | psutil | — | indirecta |
| PyPI | pulp | — | indirecta |
| PyPI | pybind11 | — | indirecta |
| PyPI | pydot | — | indirecta |
| PyPI | pytest | — | indirecta |
| PyPI | pytest-cov | — | indirecta |
| PyPI | pytest-mock | — | indirecta |
| PyPI | pytest-random-order | — | indirecta |
| PyPI | pyyaml | — | indirecta |
| PyPI | scikit-learn | — | indirecta |
| PyPI | scipy | — | indirecta |
| PyPI | sentencepiece | — | indirecta |
| PyPI | sentencepiece | 0.1.96 | indirecta |
| PyPI | setuptools | 67.5 | indirecta |
| PyPI | synr | 0.4 | indirecta |
| PyPI | tensorflow | — | indirecta |
| PyPI | tensorflow | 1.15.0 | indirecta |
| PyPI | tensorflow | 2.4.0 | indirecta |
| PyPI | tensorflow | 2.7.2 | indirecta |
| PyPI | tensorflow | 2.8.4 | indirecta |
| PyPI | tensorflow-datasets | 4.7.0 | indirecta |
| PyPI | tensorstore | — | indirecta |
| PyPI | tf2onnx | — | indirecta |
| PyPI | tiktoken | — | indirecta |
| PyPI | tokenization | — | indirecta |
| PyPI | torch | — | indirecta |
| PyPI | torch | 1.12.1 | indirecta |
| PyPI | torch | 1.13.1 | indirecta |
| PyPI | torch | 1.9.1 | indirecta |
| PyPI | torchvision | — | indirecta |
| PyPI | torchvision | 0.10.1 | indirecta |
| PyPI | torchvision | 0.13.1 | indirecta |
| PyPI | tqdm | — | indirecta |
| PyPI | transformers | — | indirecta |
| PyPI | transformers | 4.40.0 | indirecta |
| PyPI | triton | 2.1.0 | indirecta |
| PyPI | typing-extensions | 3.7.4.3 | indirecta |
| PyPI | virtualenv | 16.7.9 | indirecta |
| PyPI | wandb | — | indirecta |
| PyPI | wrapt | — | indirecta |
| PyPI | wrapt | 1.14.1 | indirecta |
| PyPI | zarr | — | indirecta |
Avisos de dependencias 18
Este repositorio no publica ningún paquete que el índice resuelva, así que se evaluó su propio grafo de dependencias — 38 paquetes, que incluyen también fijaciones de desarrollo y prueba que nunca se distribuyen: 18 tienen avisos conocidos, de los cuales 1 son directas. 52 no pudieron evaluarse: sin versión resuelta, ecosistema no admitido, o fuera de la lista de paquetes informada.
| Paquete | Versión | Relación | Gravedad | Avisos | Corregido en |
|---|---|---|---|---|---|
| black | 23.1.0 | indirecta | crítica | 5 | 26.3.1 |
| onnx | 1.12.0 | indirecta | crítica | 24 | 1.22.0 |
| onnx | 1.13.1 | indirecta | crítica | 22 | 1.22.0 |
| tensorflow | 1.15.0 | indirecta | crítica | 745 | 2.11.1 |
| tensorflow | 2.4.0 | indirecta | crítica | 760 | 2.11.1 |
| torch | 1.12.1 | indirecta | crítica | 30 | 2.13.0 |
| torch | 1.13.1 | indirecta | crítica | 28 | 2.13.0 |
| torch | 1.9.1 | indirecta | crítica | 30 | 2.13.0 |
| transformers | 4.40.0 | indirecta | crítica | 42 | 5.5.0 |
| protobuf | 3.19.4 | indirecta | alta | 6 | 6.33.5 |
| protobuf | 3.19.6 | indirecta | alta | 4 | 6.33.5 |
| protobuf | 3.20.2 | indirecta | alta | 4 | 6.33.5 |
| sentencepiece | 0.1.96 | indirecta | alta | 2 | 0.2.1 |
| setuptools | 67.5 | indirecta | alta | 6 | 83.0.0 |
| tensorflow | 2.7.2 | indirecta | alta | 94 | 2.11.1 |
| tensorflow | 2.8.4 | indirecta | alta | 46 | 2.11.1 |
| numpy | 1.19.2 | directa | moderada | 2 | 1.22 |
| virtualenv | 16.7.9 | indirecta | moderada | 4 | 20.36.1 |
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
{
"data": {
"repo": {
"topics": [
"python"
],
"is_fork": false,
"size_kb": 22651,
"has_wiki": false,
"homepage": "https://xpu-perf.ai/",
"languages": {
"C": 2951,
"C++": 29611,
"HTML": 2625,
"Shell": 149472,
"Python": 6137745,
"Makefile": 313,
"Dockerfile": 2631
},
"pushed_at": "2026-04-22T07:31:12Z",
"created_at": "2023-04-12T03:55:01Z",
"owner_type": "Organization",
"updated_at": "2026-07-30T09:20:05Z",
"description": "[HPCA 2026] AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and versatility of software and hardware.",
"is_archived": false,
"is_disabled": false,
"license_spdx": "Apache-2.0",
"default_branch": "main",
"license_spdx_raw": "Apache-2.0",
"primary_language": "Python",
"significant_languages": [
"Python"
]
},
"owner": {
"blog": "https://opensource.bytedance.com",
"name": "Bytedance Inc.",
"type": "Organization",
"login": "bytedance",
"company": null,
"location": "Singapore",
"followers": 18616,
"avatar_url": "https://avatars.githubusercontent.com/u/4158466?v=4",
"created_at": "2013-04-15T08:03:53Z",
"is_verified": null,
"public_repos": 414,
"account_age_days": 4854
},
"license": {
"state": "standard",
"spdx_id": "Apache-2.0",
"raw_spdx": "Apache-2.0",
"file_present": true,
"scorecard_found": null,
"profile_has_license": true
},
"activity": {
"releases": [
{
"tag": "v1.0.0",
"kind": "major",
"published_at": "2024-08-26T03:56:50Z"
}
],
"recent_commits": [
{
"oid": "71a12101509635421d02c3d28c9202951ded7745",
"body": null,
"is_bot": false,
"headline": "fix gpu vendor ops def. (#193)",
"author_name": "suisiyuan",
"author_login": "suisiyuan",
"committed_at": "2026-04-22T07:31:09Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "57b31ff244bdd933c43558befee241640b3dcef0",
"body": "Updated the command to start the micro_perf server in the README.",
"is_bot": false,
"headline": "Change launch command from launch.py to server.py",
"author_name": "suisiyuan",
"author_login": "suisiyuan",
"committed_at": "2026-04-21T18:03:56Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5b3b7dc8329fd769c734ff44ec777c81ca90e7ba",
"body": null,
"is_bot": false,
"headline": "Update links for operator definitions in README.md",
"author_name": "suisiyuan",
"author_login": "suisiyuan",
"committed_at": "2026-04-21T18:02:14Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "fc5d485f7287bdee43b00d69f7e60450fd97123c",
"body": "merge from internal.",
"is_bot": false,
"headline": "Merge pull request #192 from bytedance/merge_from_internal",
"author_name": "suisiyuan",
"author_login": "suisiyuan",
"committed_at": "2026-04-21T17:51:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b19cb27d1f0a78fc680fe21e3ad63ad81ed8c968",
"body": null,
"is_bot": false,
"headline": "merge from internal.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-04-21T17:50:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c5685430e973823408fc76da9b2b1d602f66ab71",
"body": null,
"is_bot": false,
"headline": "Update CONTRIBUTING.md",
"author_name": "Minghui-BD",
"author_login": "Minghui-BD",
"committed_at": "2026-04-20T14:53:21Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e374fe9f71e8b94bd5a68c933b2c75a9003f9740",
"body": null,
"is_bot": false,
"headline": "Clear device name mapping dictionary",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-03-20T08:30:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "28b7dda82b0cdf21dd51e2f69377c929b45f3e61",
"body": "merge from internal.",
"is_bot": false,
"headline": "Merge pull request #186 from bytedance/merge_from_internal",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-03-18T12:19:32Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c690c6b2f57f071a97e530f1deced84ed827056e",
"body": null,
"is_bot": false,
"headline": "merge from internal.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-03-18T12:16:21Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "bf84a4b1d7d9502d75ad239c07bc2a59269238db",
"body": "add server mode for micro_perf.",
"is_bot": false,
"headline": "Merge pull request #182 from bytedance/merge_from_internal",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-02-25T07:06:39Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b6e6dfc6d317bb189142891f0712fc93af242ce4",
"body": null,
"is_bot": false,
"headline": "add server mode for micro_perf.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-02-12T08:22:47Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d613b3f1025e4e44e4cd83cc3111bc1ba1f6b0ae",
"body": "fix some bugs.",
"is_bot": false,
"headline": "Merge pull request #181 from bytedance/merge_from_internal",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-02-10T08:39:44Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a9b443c2fdad1a2f5aac07bb29cff86d93d8870b",
"body": null,
"is_bot": false,
"headline": "fix some bugs.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-02-10T08:36:53Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "547b3d51288141fab55079cb2bdc98b874e679d2",
"body": "fix llm ops bug.",
"is_bot": false,
"headline": "Merge pull request #177 from bytedance/merge_from_internal",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-01-19T10:17:55Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4bfb65a451c5d80068fbb3aa64619cd62d632bdb",
"body": null,
"is_bot": false,
"headline": "fix llm ops bug.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-01-19T10:15:06Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4d8a74c3e0883989a91d2791f5ac7164a1558c65",
"body": "fix some bugs.",
"is_bot": false,
"headline": "Merge pull request #176 from bytedance/merge_from_internal",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-01-15T06:13:36Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d7445078ae6679e058672d1c15b70c27ed751210",
"body": null,
"is_bot": false,
"headline": "fix some bugs.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-01-15T06:12:44Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "83a657cff15404d394d3fffb7bbffa2a99cece5f",
"body": "fix bugs, add some ops.",
"is_bot": false,
"headline": "Merge pull request #175 from bytedance/merge_from_internal",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-01-15T03:40:21Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "175473ce0ba5113b9372ee423bb799f0cac4a3b9",
"body": null,
"is_bot": false,
"headline": "fix bugs, add some ops.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-01-15T03:39:05Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ba6aaad4e948cfe8d07819b9e451fa35a575320a",
"body": "fix launch script bug.",
"is_bot": false,
"headline": "Merge pull request #174 from bytedance/merge_from_internal",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-01-12T09:39:32Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "555b3b0efdd7a27ecbb4d34b160fad0d229a007f",
"body": null,
"is_bot": false,
"headline": "fix launch script bug.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-01-12T09:37:56Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b8c8855e400e08fe9ba6091f0ef82dfdf98724d1",
"body": null,
"is_bot": false,
"headline": "merge from internal. (#173)",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-01-12T08:55:55Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a30b4f97b174c1f542d601573686524950ef190f",
"body": "Training v0.1， 两机，四机训练合入。",
"is_bot": false,
"headline": "Merge pull request #140 from bytedance/training_v0.1",
"author_name": "HunterHantao",
"author_login": "HunterHantao",
"committed_at": "2025-08-18T13:08:37Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ba98b673279ffedb8c89efa70afdcec03a29d9c7",
"body": null,
"is_bot": false,
"headline": "update readme",
"author_name": "HunterHantao",
"author_login": "HunterHantao",
"committed_at": "2025-08-18T12:42:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "aece3ddc229d9018fab2eea2a530a5ed8d4e0bff",
"body": null,
"is_bot": false,
"headline": "update readme",
"author_name": "HunterHantao",
"author_login": "HunterHantao",
"committed_at": "2025-08-18T12:37:21Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "65eb4cd95983d59d6dca764624476be85fffe228",
"body": null,
"is_bot": false,
"headline": "clean files",
"author_name": "HunterHantao",
"author_login": "HunterHantao",
"committed_at": "2025-08-18T12:33:27Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e308fa091a914e19d8c9bcf4f5413606d8e590d2",
"body": null,
"is_bot": false,
"headline": "finish llm ops definitions.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2025-08-06T07:29:57Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "45323b37876f2db8000632d56ed8191a8152010c",
"body": null,
"is_bot": false,
"headline": "remove redundant workloads files.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2025-08-05T08:30:23Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "abcdd6d26834fccfc095904b65cae4bbd1cd9393",
"body": null,
"is_bot": false,
"headline": "add latest llm_ops definitions.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2025-08-04T06:46:46Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ff75344d46814584f83d169a243a81e44c97e939",
"body": null,
"is_bot": false,
"headline": "merge from internal.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2025-06-27T09:37:57Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6657aac1f126323604e3a0876d8c6d7873a7a04b",
"body": null,
"is_bot": false,
"headline": "cleaning",
"author_name": "HunterHantao",
"author_login": "HunterHantao",
"committed_at": "2025-05-17T11:13:47Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cb805174393f8742b74eaccb55fabf8d29476ddb",
"body": null,
"is_bot": false,
"headline": "updte to align with 2/4 node training",
"author_name": "HunterHantao",
"author_login": "HunterHantao",
"committed_at": "2025-05-17T11:09:12Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a49963b65f75aa8aec77e8f8d17cd0c186ec7e3d",
"body": null,
"is_bot": false,
"headline": "two node/4 node training",
"author_name": "HunterHantao",
"author_login": "HunterHantao",
"committed_at": "2025-05-17T11:07:26Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "3bda2e7776e2acd99aa552af97370cb9418ec0d6",
"body": null,
"is_bot": false,
"headline": "optimize micro_perf test process.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2025-04-18T06:29:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "84a1325f981bbd2887a62a3490b12e7e73800172",
"body": null,
"is_bot": false,
"headline": "add new version for micro_perf.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2025-03-24T09:03:26Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "3e8ad7f1e57d198537f80e54de36f22d3730ad8a",
"body": null,
"is_bot": false,
"headline": "diable jit",
"author_name": "Huang Hantao",
"author_login": "HunterHantao",
"committed_at": "2025-03-12T09:37:27Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c3272f86a68ef76e6b74cf22aa1a12359bf9d2ab",
"body": null,
"is_bot": false,
"headline": "resume training",
"author_name": "Huang Hantao",
"author_login": "HunterHantao",
"committed_at": "2025-03-12T09:36:28Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "80d653a2df965a804da0d199bdb4e8d74168434d",
"body": null,
"is_bot": false,
"headline": "init support for single machine training",
"author_name": "Huang Hantao",
"author_login": "HunterHantao",
"committed_at": "2025-02-11T06:40:05Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ec6aeafffe777d4ebfe365fe7732cc0bd37256c0",
"body": "remove virtualenv, use numa_balance, parallel at default.",
"is_bot": false,
"headline": "Merge pull request #128 from bytedance/jzs/dev",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2025-01-06T10:06:48Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "01230e0a327b9e205ec7a2d4c73967c2decca155",
"body": null,
"is_bot": false,
"headline": "sset max_group_size to 16.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-12-29T19:08:09Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "68e7fade8e4ac6aa1532ebe2969a264c58f41537",
"body": null,
"is_bot": false,
"headline": "optimize numa, parallel related logic.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-12-29T14:44:10Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b84c806264f68d78fdee48344472707987fa00ed",
"body": "support specify numa node mode or numa balance mode; remove cuusing d…",
"is_bot": false,
"headline": "Merge pull request #127 from bytedance/jzs/dev",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-12-27T03:43:58Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "1efca1270d0f1bd39917d24b6016b3456bb85443",
"body": "…a device in babase ckend declass.",
"is_bot": false,
"headline": "support specify numa node mode or numa balance mode; remove cuusing d…",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-12-24T13:21:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "668d2c52adfe2d11a13bb0c9af729f8f3f743283",
"body": "add numa_balance feature support.",
"is_bot": false,
"headline": "Merge pull request #126 from bytedance/jzs/dev",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-12-24T09:02:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8415ab6cf50df6d11b7abadd7a14ebbe374086d6",
"body": null,
"is_bot": false,
"headline": "remove world_size checker in __del__ function of backend class.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-12-24T08:53:15Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5ca4fcd6fef15080c8ed399baed9bfb93658b036",
"body": null,
"is_bot": false,
"headline": "add numa_balance feature; optimize h2d_ops/ccl_ops test process.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-12-24T08:36:14Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0f74e532176a648e479e6b41323f4d44643c2f57",
"body": "use instance = 1 when group_size = 1 for host2device / device2host ops.",
"is_bot": false,
"headline": "Merge pull request #125 from bytedance/jzs/dev",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-12-12T14:47:42Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "fd7df9d20e4a690cce919dab6199a7248d045c5f",
"body": null,
"is_bot": false,
"headline": "use instance = 1 when group_size = 1 for host2device / device2host ops.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-12-12T14:43:37Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "dac895cd60a1f6b1dad6649dfe0dc92622df5637",
"body": "Code changes in micro_perf and llm_perf.",
"is_bot": false,
"headline": "Merge pull request #124 from bytedance/jzs/dev",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-12-12T13:26:57Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a0bcb6ef25cf90d98ca95d8ad42894695062984b",
"body": "…e ops; add support concurrent test for host2device/device2host ops; use cuda event to measure test duration.",
"is_bot": false,
"headline": "fix all_gather / reduce_scatter ops; add hash_table/topk/device2devic…",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-12-12T13:16:27Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "85e7840d1237a3edc17d37410ee5e685c7af67c5",
"body": "add llm_perf doc.",
"is_bot": false,
"headline": "Merge pull request #122 from bytedance/fix_llm_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-11-19T14:10:40Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "801f99b154e44b857c67da3ecca3f1745dc2ad0b",
"body": null,
"is_bot": false,
"headline": "add llm_perf doc.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-11-19T14:07:14Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a0faed3d52fe07ca89842a8a38ae5a3df4c8d594",
"body": "[llm_perf] add tensorrt-llm benchmark script.",
"is_bot": false,
"headline": "Merge pull request #111 from bytedance/fix_llm_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-10-10T12:05:48Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "283aa5de2dcd370c07bc35bb1089ce0f5c12d480",
"body": null,
"is_bot": false,
"headline": "add tensorrt-llm benchmark script.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-10-10T12:03:50Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "94b142b7e8d8758e19c723baf0ba49615ba1dfae",
"body": "[micro_perf] add barrier to avoid hang.",
"is_bot": false,
"headline": "Merge pull request #110 from bytedance/fix_micro_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-10-07T18:41:49Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "13d8b000c62cd26e3620863147d9d3e882bdd13f",
"body": null,
"is_bot": false,
"headline": "add barrier to avoid hang.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-10-07T18:41:28Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "26e28b177f1f419a18df2c1487220d7860c25911",
"body": "[micro_perf] optimize code structure.",
"is_bot": false,
"headline": "Merge pull request #109 from bytedance/fix_micro_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-10-07T16:20:27Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8a0abb8922cf4922e4266058b11c51b8315f9418",
"body": null,
"is_bot": false,
"headline": "remove all_gather_objectapi, and use queue instead.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-10-07T16:18:33Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "10df700a31f2d7118e0a6ba8e5f0cf8b5a81d8c2",
"body": null,
"is_bot": false,
"headline": "[micro_perf] print report info during test.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-10-01T09:05:35Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c4b3f70307daff875eaed6e9e0e62a2efe71699d",
"body": null,
"is_bot": false,
"headline": "[micro_perf] rename half to float16, reduce ccl ops test cases num.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-10-01T07:13:31Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "95d6053f8cfe6da595791a206e219e28aa0ea9eb",
"body": null,
"is_bot": false,
"headline": "optimize code structure for micro_perf.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-09-30T11:33:09Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "bfb03e65ceb10d19ac56ac674b759dcc7b7a3d22",
"body": "[micro_perf] fix log and sqrt in gpu backend.",
"is_bot": false,
"headline": "Merge pull request #108 from bytedance/fix_micro_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-09-27T12:23:58Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6b1d53174324f80cf7daa393eb09ccbb9d8a635a",
"body": null,
"is_bot": false,
"headline": "[micro_perf] fix log and sqrt in gpu backend.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-09-27T12:22:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c3d23ad450ceb38cc5ecd3502ba760d563c81c51",
"body": "[micro perf]: add log and sqrt op",
"is_bot": false,
"headline": "Merge pull request #102 from bytedance/gyj/add_log_sqrt_op",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-09-25T08:49:33Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "1113caaa45cfcf2e7c809260d9580bf3ffc36495",
"body": "add single_query and bench_model scripts to debug and perf llm models.",
"is_bot": false,
"headline": "Merge pull request #105 from bytedance/jzs/fix_llm_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-09-25T08:48:37Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "15299f9c1d2e97cd32fd5e1badc3481966f28f4f",
"body": null,
"is_bot": false,
"headline": "modify batch_gemm workload.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-09-25T08:47:51Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "eecda36b84948e89b75b48fef967fe1f0021631c",
"body": null,
"is_bot": false,
"headline": "fix bench_model.py.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-09-25T08:43:36Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "06731a009e47a7be9eeceef92f380981b7a96510",
"body": null,
"is_bot": false,
"headline": "remove amd backend; optimize code structure, improve robustness.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-09-25T03:52:02Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cb2639c28eb94a52a204c98879a605103aa3b74b",
"body": null,
"is_bot": false,
"headline": "add single_query and bench_model scripts to debug and perf llm models.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-09-18T08:28:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c5d85fe0a22f4144131abbca054e625f7cdefca6",
"body": "[micro_perf] use less memory to avoid using L2 Cache; fix bugs",
"is_bot": false,
"headline": "Merge pull request #103 from bytedance/jzs/fix_micro_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-08-29T19:09:30Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8f5ae7cdad6cc413c1d24f2aba745e5f1ffe9dd6",
"body": "… host2device bug.",
"is_bot": false,
"headline": "[micro_perf] use less memory to avoid using L2 Cache; fix device2host…",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-29T19:07:52Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "16093a1e6e057f4b1e2bc6ca0bffff2802834018",
"body": null,
"is_bot": false,
"headline": "[micro perf]: add log and sqrt op",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-29T07:54:42Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "22e9b39055b815703f1519b6c89980b84b22f32b",
"body": "[micro_perf] bug_fix, mkdir reports in launch.py.",
"is_bot": false,
"headline": "Merge pull request #101 from bytedance/jzs/fix_micro_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-08-29T06:17:50Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0eb1cb25f12087dc401552577f37c1c1d7826ed1",
"body": null,
"is_bot": false,
"headline": "[micro_perf] bug_fix, mkdir reports in launch.py.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-29T06:16:34Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0db9b2cb628b3189e2e43024a18cc0fad7a86b18",
"body": "[micro_perf] add run log; add process management; fix ops",
"is_bot": false,
"headline": "Merge pull request #100 from bytedance/jzs/fix_micro_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-08-29T03:35:45Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "246af7afbb1129f768cb0a36f37c800129718e9d",
"body": "…t/host2device.",
"is_bot": false,
"headline": "[micro_perf] add run log; add process management; fix ops: device2hos…",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-29T03:08:37Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "04a01d09489c37a06fbc3d47777389d247487d7a",
"body": "provide reports convert script for micro_perf.",
"is_bot": false,
"headline": "Merge pull request #99 from bytedance/jzs/add_convert_script",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-08-27T12:54:51Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "71234f5825a0a6d711befe68b5699e8d5e64a808",
"body": null,
"is_bot": false,
"headline": "provide reports convert script.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-27T12:48:28Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "7c49815c5a1908a7e40d00780954547316fcb1a7",
"body": "Add Version and Execution Date info to reports",
"is_bot": false,
"headline": "Merge pull request #98 from bytedance/gyj/add_version",
"author_name": "gaoyujia",
"author_login": "YJessicaGao",
"committed_at": "2024-08-26T03:23:52Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "babd3aaeb0265d0003d3807851d3add5a9aa0caf",
"body": null,
"is_bot": false,
"headline": "Add Version and Execution Date info to reports",
"author_name": "gaoyujia.01",
"author_login": "jessicagao01",
"committed_at": "2024-08-23T10:03:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b5ac6197f93945ccc22dbb37ee7f63af3b7d2638",
"body": "add barrier for ccl ops in micro_perf.",
"is_bot": false,
"headline": "Merge pull request #97 from bytedance/add_barrier_to_micro_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-08-23T06:58:18Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2a49ac9f39f6ab59e6e1666d57b35ffdc41e9053",
"body": null,
"is_bot": false,
"headline": "add barrier for ccl ops in micro_perf.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-23T06:56:20Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "572c388d9005286e0876187fbb719c3fa9d813d3",
"body": "support AMD backend for micro_perf.",
"is_bot": false,
"headline": "Merge pull request #96 from bytedance/add_amd_backend",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-08-23T06:32:02Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "76cfd5f6b8d2e11a4f05f082c1a0b4e0a1934eb6",
"body": null,
"is_bot": false,
"headline": "support AMD backend for micro_perf.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-23T06:28:30Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "3b3ea9dadcc30efdc1cdc6f98b3bb59c6c6dd795",
"body": "accelerate micro_perf test",
"is_bot": false,
"headline": "Merge pull request #95 from bytedance/jzs/accelerate_micro_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-08-23T03:51:45Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8732c821b2d67c226265fd51bc5b0c5fd225bd81",
"body": "…s in micro_perf.",
"is_bot": false,
"headline": "support task schedule in micro_perf, ; support dynamic perf iteration…",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-23T03:50:23Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "aca559b1693e3c0f02c5f6cf26401440d95944fa",
"body": "support multi-card perf for micro_perf.",
"is_bot": false,
"headline": "Merge pull request #94 from bytedance/jzs/support_multi_card_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-08-22T07:37:28Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "fbe99adc4d97cd60b6b89822380ad66135a6c3e7",
"body": null,
"is_bot": false,
"headline": "support multi-card perf for micro_perf.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-22T07:31:33Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9e4c3c7078dcb5e73c95d96027aad983eae60a9e",
"body": "[micro_perf] fix parsing logic of group gemm",
"is_bot": false,
"headline": "Merge pull request #92 from bytedance/xuzhenglin/fix_gemm",
"author_name": "gaoyujia",
"author_login": "YJessicaGao",
"committed_at": "2024-08-19T11:06:43Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "69efe7985d248ff2967edff0f814ff8e78f7a0b9",
"body": null,
"is_bot": false,
"headline": "[micro_perf] fix parsing logic of group gemm",
"author_name": "kevinsouthByteDance",
"author_login": "kevinsouthByteDance",
"committed_at": "2024-08-19T11:03:56Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "fe25adea9fc89bb695748159e010bbc1759c7afc",
"body": "Fix gemm: fix workloads of batch/group gemm; add task_dir in perf_engine; multiply qps with 1000",
"is_bot": false,
"headline": "Merge pull request #91 from bytedance/xuzhenglin/fix_gemm",
"author_name": "gaoyujia",
"author_login": "YJessicaGao",
"committed_at": "2024-08-19T08:01:05Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "da12e241c79933cf60b272c11d6baad58ad89408",
"body": null,
"is_bot": false,
"headline": "[micro_perf] fix the qps to 1e6",
"author_name": "kevinsouthByteDance",
"author_login": "kevinsouthByteDance",
"committed_at": "2024-08-19T06:43:36Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "51906ddef5f6c204cf74daf3d43a6ce57213d4ab",
"body": null,
"is_bot": false,
"headline": "[micro_perf] add task_dir in perf_engine; multiply qps with 1000",
"author_name": "kevinsouthByteDance",
"author_login": "kevinsouthByteDance",
"committed_at": "2024-08-19T06:32:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b77154377f13a9c1746eecb83595edb1610dc9cb",
"body": "…rsing logic of group_gemm",
"is_bot": false,
"headline": "[micro_perf] change gemm, batch_gemm, group_gemm shape, change the pa…",
"author_name": "kevinsouthByteDance",
"author_login": "kevinsouthByteDance",
"committed_at": "2024-08-19T04:04:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b028576f80630d1c38703faf21f8cde945b0deae",
"body": "fix micro perf launch logic, fix scatter and gather index tensor.",
"is_bot": false,
"headline": "Merge pull request #89 from bytedance/jzs/fix_micro_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-08-15T10:00:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "23a1e58bdc14a561ef7e60551d154641389cedf7",
"body": null,
"is_bot": false,
"headline": "modify launch argparse for micro_perf.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-08T10:42:16Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "003ac5264bcc7ebe950c4996039adcf2c4537b2c",
"body": "…seless memory.",
"is_bot": false,
"headline": "fix scatter and gatherops, use expand instead of cat to avoid alloc u…",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-08T07:15:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2636150d769df7bc46062f0c7cc2f36899fd4ec2",
"body": "fix falcon; add scatter, gather to micro_perf",
"is_bot": false,
"headline": "Merge pull request #88 from bytedance/jzs/fix_llm_perf",
"author_name": "gaoyujia",
"author_login": "YJessicaGao",
"committed_at": "2024-07-29T06:41:21Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9adb4ec1c6656d4f1b956cc1f43bd4dc27a2aad7",
"body": null,
"is_bot": false,
"headline": "Update perf_engine.py",
"author_name": "gaoyujia",
"author_login": "YJessicaGao",
"committed_at": "2024-07-29T06:39:40Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2b6622dd3cc74e7c5050e18e6dec74ba21101433",
"body": null,
"is_bot": false,
"headline": "Update endpoint.py",
"author_name": "gaoyujia",
"author_login": "YJessicaGao",
"committed_at": "2024-07-29T06:38:56Z",
"body_truncated": false,
"is_coding_agent": false
}
],
"releases_count": 1,
"commits_last_year": 29,
"latest_release_at": "2024-08-26T03:56:50Z",
"latest_release_tag": "v1.0.0",
"releases_from_tags": false,
"days_since_last_push": 99,
"active_weeks_last_year": 10,
"days_since_latest_release": 703,
"mean_days_between_releases": null
},
"community": {
"has_readme": true,
"has_license": true,
"has_description": true,
"has_contributing": true,
"health_percentage": 50,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"ecosystem": {
"packages": []
},
"popularity": {
"forks": 130,
"stars": 370,
"watchers": 12,
"fork_history": {
"days": [
{
"date": "2023-04-23",
"count": 1
},
{
"date": "2023-04-28",
"count": 1
},
{
"date": "2023-05-11",
"count": 1
},
{
"date": "2023-05-15",
"count": 1
},
{
"date": "2023-05-23",
"count": 5
},
{
"date": "2023-06-15",
"count": 1
},
{
"date": "2023-06-20",
"count": 1
},
{
"date": "2023-06-30",
"count": 1
},
{
"date": "2023-07-24",
"count": 1
},
{
"date": "2023-08-01",
"count": 1
},
{
"date": "2023-08-22",
"count": 1
},
{
"date": "2023-08-31",
"count": 1
},
{
"date": "2023-09-06",
"count": 1
},
{
"date": "2023-09-20",
"count": 1
},
{
"date": "2023-10-16",
"count": 1
},
{
"date": "2023-10-17",
"count": 1
},
{
"date": "2023-11-09",
"count": 1
},
{
"date": "2023-11-20",
"count": 1
},
{
"date": "2024-01-01",
"count": 1
},
{
"date": "2024-03-24",
"count": 1
},
{
"date": "2024-03-26",
"count": 1
},
{
"date": "2024-04-19",
"count": 1
},
{
"date": "2024-05-10",
"count": 1
},
{
"date": "2024-05-11",
"count": 1
},
{
"date": "2024-05-23",
"count": 1
},
{
"date": "2024-06-03",
"count": 1
},
{
"date": "2024-06-23",
"count": 1
},
{
"date": "2024-07-01",
"count": 1
},
{
"date": "2024-07-18",
"count": 1
},
{
"date": "2024-08-16",
"count": 1
},
{
"date": "2024-08-19",
"count": 1
},
{
"date": "2024-08-20",
"count": 1
},
{
"date": "2024-08-24",
"count": 1
},
{
"date": "2024-08-26",
"count": 1
},
{
"date": "2024-09-12",
"count": 1
},
{
"date": "2024-09-25",
"count": 2
},
{
"date": "2024-10-20",
"count": 2
},
{
"date": "2024-10-23",
"count": 1
},
{
"date": "2024-10-25",
"count": 1
},
{
"date": "2024-11-15",
"count": 1
},
{
"date": "2024-11-19",
"count": 1
},
{
"date": "2024-12-16",
"count": 1
},
{
"date": "2024-12-18",
"count": 1
},
{
"date": "2024-12-27",
"count": 1
},
{
"date": "2024-12-30",
"count": 1
},
{
"date": "2025-01-01",
"count": 1
},
{
"date": "2025-01-13",
"count": 1
},
{
"date": "2025-03-04",
"count": 1
},
{
"date": "2025-03-06",
"count": 1
},
{
"date": "2025-03-25",
"count": 1
},
{
"date": "2025-04-10",
"count": 1
},
{
"date": "2025-05-24",
"count": 1
},
{
"date": "2025-06-17",
"count": 1
},
{
"date": "2025-06-19",
"count": 1
},
{
"date": "2025-06-27",
"count": 1
},
{
"date": "2025-07-01",
"count": 1
},
{
"date": "2025-07-15",
"count": 1
},
{
"date": "2025-07-25",
"count": 1
},
{
"date": "2025-08-05",
"count": 1
},
{
"date": "2025-08-12",
"count": 2
},
{
"date": "2025-08-19",
"count": 1
},
{
"date": "2025-09-03",
"count": 1
},
{
"date": "2025-09-08",
"count": 1
},
{
"date": "2025-09-12",
"count": 1
},
{
"date": "2025-09-15",
"count": 1
},
{
"date": "2025-10-13",
"count": 1
},
{
"date": "2025-12-16",
"count": 1
},
{
"date": "2025-12-26",
"count": 1
},
{
"date": "2026-01-06",
"count": 1
},
{
"date": "2026-01-13",
"count": 1
},
{
"date": "2026-02-25",
"count": 1
},
{
"date": "2026-03-02",
"count": 2
},
{
"date": "2026-03-10",
"count": 1
},
{
"date": "2026-03-17",
"count": 1
},
{
"date": "2026-03-18",
"count": 2
},
{
"date": "2026-03-20",
"count": 1
},
{
"date": "2026-03-23",
"count": 1
},
{
"date": "2026-03-31",
"count": 1
},
{
"date": "2026-04-01",
"count": 1
},
{
"date": "2026-04-02",
"count": 1
},
{
"date": "2026-04-10",
"count": 1
},
{
"date": "2026-04-15",
"count": 1
},
{
"date": "2026-04-16",
"count": 1
},
{
"date": "2026-04-17",
"count": 1
},
{
"date": "2026-04-22",
"count": 1
},
{
"date": "2026-04-28",
"count": 1
},
{
"date": "2026-05-06",
"count": 1
},
{
"date": "2026-05-07",
"count": 1
},
{
"date": "2026-06-05",
"count": 1
},
{
"date": "2026-06-10",
"count": 1
},
{
"date": "2026-06-11",
"count": 1
},
{
"date": "2026-06-15",
"count": 1
},
{
"date": "2026-06-18",
"count": 1
},
{
"date": "2026-06-30",
"count": 1
},
{
"date": "2026-07-17",
"count": 1
}
],
"complete": true,
"collected": 104,
"total_forks": 130
},
"star_history": null,
"open_issues_and_prs": 38
},
"ai_readiness": {
"has_nix": false,
"example_dirs": [
"examples",
"recipes"
],
"has_llms_txt": false,
"has_dockerfile": true,
"has_mcp_signal": false,
"bootstrap_files": [
"projects/train_perf/Megatron-LM/megatron/core/datasets/Makefile"
],
"api_schema_files": [
"projects/infer_perf/llm_perf/server/server.proto"
],
"has_devcontainer": false,
"typecheck_configs": [
"projects/train_perf/Megatron-LM/mypy.ini"
],
"toolchain_manifests": [],
"largest_source_bytes": 132791,
"source_files_sampled": 757,
"oversized_source_files": 8,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"dependencies": {
"manifests": [
"pyproject.toml"
],
"advisories": {
"error": null,
"scope": "repository_graph",
"source": "osv",
"findings": [
{
"name": "black",
"direct": false,
"version": "23.1.0",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.8,
"advisory_ids": [
"GHSA-3936-cmfr-pm3m",
"GHSA-fj7x-q9j7-g6q6",
"PYSEC-2024-48",
"PYSEC-2026-2120",
"PYSEC-2026-2121"
],
"fixed_version": "26.3.1",
"advisory_count": 5,
"oldest_advisory_days": 863
},
{
"name": "onnx",
"direct": false,
"version": "1.12.0",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.1,
"advisory_ids": [
"GHSA-3r9x-f23j-gc73",
"GHSA-538c-55jv-c5g9",
"GHSA-6rq9-53c3-f7vj",
"GHSA-cmw6-hcpp-c6jp",
"GHSA-ffxj-547x-5j7c",
"GHSA-h36j-8vv3-cj52",
"GHSA-h8wv-9h96-m4hr",
"GHSA-hqmj-h5c6-369m",
"GHSA-hwpq-hmq9-wj77",
"GHSA-p433-9wv8-28xj"
],
"fixed_version": "1.22.0",
"advisory_count": 24,
"oldest_advisory_days": 1280
},
{
"name": "onnx",
"direct": false,
"version": "1.13.1",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.1,
"advisory_ids": [
"GHSA-3r9x-f23j-gc73",
"GHSA-538c-55jv-c5g9",
"GHSA-6rq9-53c3-f7vj",
"GHSA-cmw6-hcpp-c6jp",
"GHSA-h36j-8vv3-cj52",
"GHSA-h8wv-9h96-m4hr",
"GHSA-hqmj-h5c6-369m",
"GHSA-hwpq-hmq9-wj77",
"GHSA-p433-9wv8-28xj",
"GHSA-p893-rvq9-2xf9"
],
"fixed_version": "1.22.0",
"advisory_count": 22,
"oldest_advisory_days": 887
},
{
"name": "tensorflow",
"direct": false,
"version": "1.15.0",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.3,
"advisory_ids": [
"GHSA-23hm-7w47-xw72",
"GHSA-2475-53vw-vp25",
"GHSA-247x-2f9f-5wp7",
"GHSA-24x4-6qmh-88qg",
"GHSA-24x6-8c7m-hv3f",
"GHSA-26j7-6w8w-7922",
"GHSA-278g-rq84-9hmg",
"GHSA-27j5-4p9v-pp67",
"GHSA-27qf-jwm8-g7f3",
"GHSA-27rc-728f-x5w2"
],
"fixed_version": "2.11.1",
"advisory_count": 745,
"oldest_advisory_days": 2374
},
{
"name": "tensorflow",
"direct": false,
"version": "2.4.0",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.3,
"advisory_ids": [
"GHSA-23hm-7w47-xw72",
"GHSA-2475-53vw-vp25",
"GHSA-247x-2f9f-5wp7",
"GHSA-24x4-6qmh-88qg",
"GHSA-24x6-8c7m-hv3f",
"GHSA-26j7-6w8w-7922",
"GHSA-278g-rq84-9hmg",
"GHSA-27j5-4p9v-pp67",
"GHSA-27qf-jwm8-g7f3",
"GHSA-27rc-728f-x5w2"
],
"fixed_version": "2.11.1",
"advisory_count": 760,
"oldest_advisory_days": 1895
},
{
"name": "torch",
"direct": false,
"version": "1.12.1",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.8,
"advisory_ids": [
"GHSA-3749-ghw9-m3mg",
"GHSA-47fc-vmwq-366v",
"GHSA-53q9-r3pm-6pq6",
"GHSA-5pcm-hx3q-hm94",
"GHSA-887c-mr87-cxwp",
"GHSA-c678-jfcj-6jmf",
"GHSA-f4hp-rmr7-r7v8",
"GHSA-pg7h-5qx3-wjr3",
"GHSA-qfhq-4f3w-5fph",
"GHSA-rrmf-rvhw-rf47"
],
"fixed_version": "2.13.0",
"advisory_count": 30,
"oldest_advisory_days": 833
},
{
"name": "torch",
"direct": false,
"version": "1.13.1",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.8,
"advisory_ids": [
"GHSA-3749-ghw9-m3mg",
"GHSA-53q9-r3pm-6pq6",
"GHSA-5pcm-hx3q-hm94",
"GHSA-887c-mr87-cxwp",
"GHSA-c678-jfcj-6jmf",
"GHSA-f4hp-rmr7-r7v8",
"GHSA-pg7h-5qx3-wjr3",
"GHSA-qfhq-4f3w-5fph",
"GHSA-rrmf-rvhw-rf47",
"GHSA-vgrw-7cvw-pwgx"
],
"fixed_version": "2.13.0",
"advisory_count": 28,
"oldest_advisory_days": 833
},
{
"name": "torch",
"direct": false,
"version": "1.9.1",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.8,
"advisory_ids": [
"GHSA-3749-ghw9-m3mg",
"GHSA-47fc-vmwq-366v",
"GHSA-53q9-r3pm-6pq6",
"GHSA-5pcm-hx3q-hm94",
"GHSA-887c-mr87-cxwp",
"GHSA-c678-jfcj-6jmf",
"GHSA-f4hp-rmr7-r7v8",
"GHSA-pg7h-5qx3-wjr3",
"GHSA-qfhq-4f3w-5fph",
"GHSA-rrmf-rvhw-rf47"
],
"fixed_version": "2.13.0",
"advisory_count": 30,
"oldest_advisory_days": 833
},
{
"name": "transformers",
"direct": false,
"version": "4.40.0",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.6,
"advisory_ids": [
"GHSA-29pf-2h5f-8g72",
"GHSA-37mw-44qp-f5jm",
"GHSA-4w7r-h757-3r74",
"GHSA-59p9-h35m-wg4g",
"GHSA-69w3-r845-3855",
"GHSA-6rvg-6v2m-4j46",
"GHSA-9356-575x-2w9m",
"GHSA-fgcw-684q-jj6r",
"GHSA-fpwr-67px-3qhx",
"GHSA-hxxf-235m-72v3"
],
"fixed_version": "5.5.0",
"advisory_count": 42,
"oldest_advisory_days": 614
},
{
"name": "protobuf",
"direct": false,
"version": "3.19.4",
"severity": "high",
"ecosystem": "pypi",
"cvss_score": 7.5,
"advisory_ids": [
"GHSA-7gcm-g887-7qv7",
"GHSA-8gq9-2x98-w8hf",
"GHSA-8qvm-5x2c-j2w7",
"PYSEC-2026-1805",
"PYSEC-2026-1806",
"PYSEC-2026-899"
],
"fixed_version": "6.33.5",
"advisory_count": 6,
"oldest_advisory_days": 1405
},
{
"name": "protobuf",
"direct": false,
"version": "3.19.6",
"severity": "high",
"ecosystem": "pypi",
"cvss_score": 7.5,
"advisory_ids": [
"GHSA-7gcm-g887-7qv7",
"GHSA-8qvm-5x2c-j2w7",
"PYSEC-2026-1805",
"PYSEC-2026-1806"
],
"fixed_version": "6.33.5",
"advisory_count": 4,
"oldest_advisory_days": 408
},
{
"name": "protobuf",
"direct": false,
"version": "3.20.2",
"severity": "high",
"ecosystem": "pypi",
"cvss_score": 7.5,
"advisory_ids": [
"GHSA-7gcm-g887-7qv7",
"GHSA-8qvm-5x2c-j2w7",
"PYSEC-2026-1805",
"PYSEC-2026-1806"
],
"fixed_version": "6.33.5",
"advisory_count": 4,
"oldest_advisory_days": 408
},
{
"name": "sentencepiece",
"direct": false,
"version": "0.1.96",
"severity": "high",
"ecosystem": "pypi",
"cvss_score": null,
"advisory_ids": [
"GHSA-38vq-g6vr-w8wf",
"PYSEC-2026-1909"
],
"fixed_version": "0.2.1",
"advisory_count": 2,
"oldest_advisory_days": 188
},
{
"name": "setuptools",
"direct": false,
"version": "67.5",
"severity": "high",
"ecosystem": "pypi",
"cvss_score": 8.8,
"advisory_ids": [
"GHSA-5rjg-fvgr-3xxf",
"GHSA-cx63-2mw6-8hw5",
"GHSA-h35f-9h28-mq5c",
"PYSEC-2025-49",
"PYSEC-2026-1918",
"PYSEC-2026-3447"
],
"fixed_version": "83.0.0",
"advisory_count": 6,
"oldest_advisory_days": 745
},
{
"name": "tensorflow",
"direct": false,
"version": "2.7.2",
"severity": "high",
"ecosystem": "pypi",
"cvss_score": 8,
"advisory_ids": [
"GHSA-27rc-728f-x5w2",
"GHSA-368v-7v32-52fx",
"GHSA-49rq-hwc3-x77w",
"GHSA-54pp-c6pp-7fpx",
"GHSA-558h-mq8x-7q9g",
"GHSA-5w96-866f-6rm8",
"GHSA-647v-r7qq-24fh",
"GHSA-64jg-wjww-7c5w",
"GHSA-66vq-54fq-6jvv",
"GHSA-67pf-62xr-q35m"
],
"fixed_version": "2.11.1",
"advisory_count": 94,
"oldest_advisory_days": 1346
},
{
"name": "tensorflow",
"direct": false,
"version": "2.8.4",
"severity": "high",
"ecosystem": "pypi",
"cvss_score": 8,
"advisory_ids": [
"GHSA-49rq-hwc3-x77w",
"GHSA-558h-mq8x-7q9g",
"GHSA-5w96-866f-6rm8",
"GHSA-647v-r7qq-24fh",
"GHSA-64jg-wjww-7c5w",
"GHSA-68v3-g9cm-rmm6",
"GHSA-6hg6-5c2q-7rcr",
"GHSA-6wfh-89q8-44jq",
"GHSA-7jvm-xxmr-v5cw",
"GHSA-7x4v-9gxg-9hwj"
],
"fixed_version": "2.11.1",
"advisory_count": 46,
"oldest_advisory_days": 1346
},
{
"name": "numpy",
"direct": true,
"version": "1.19.2",
"severity": "moderate",
"ecosystem": "pypi",
"cvss_score": 5.3,
"advisory_ids": [
"GHSA-6p56-wp2h-9hxr",
"GHSA-fpfv-jqm9-f5jm"
],
"fixed_version": "1.22",
"advisory_count": 2,
"oldest_advisory_days": 1685
},
{
"name": "virtualenv",
"direct": false,
"version": "16.7.9",
"severity": "moderate",
"ecosystem": "pypi",
"cvss_score": 4.5,
"advisory_ids": [
"GHSA-597g-3phw-6986",
"GHSA-rqc4-2hc7-8c8v",
"PYSEC-2024-187",
"PYSEC-2026-2009"
],
"fixed_version": "20.36.1",
"advisory_count": 4,
"oldest_advisory_days": 197
}
],
"collected": true,
"malicious": [],
"truncated": false,
"by_severity": {
"high": 7,
"critical": 9,
"moderate": 2
},
"advisory_count": 1854,
"affected_count": 18,
"assessed_count": 38,
"malicious_count": 0,
"assessed_package": null,
"unassessed_count": 52,
"direct_affected_count": 1
},
"ecosystems": [
"pypi"
],
"dependencies": [
{
"name": "prettytable",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": null
},
{
"name": "jsonlines",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": null
},
{
"name": "flask",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": null
},
{
"name": "requests",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": null
},
{
"name": "numpy",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": "<=1.26.4"
}
],
"all_dependencies": {
"error": null,
"source": "github-sbom",
"packages": [
{
"name": "flask",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "jsonlines",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "numpy",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "numpy",
"direct": true,
"version": "1.19.2",
"ecosystem": "pypi"
},
{
"name": "numpy",
"direct": true,
"version": "1.23.0",
"ecosystem": "pypi"
},
{
"name": "numpy",
"direct": true,
"version": "1.23.4",
"ecosystem": "pypi"
},
{
"name": "prettytable",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "requests",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "accelerate",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "attrs",
"direct": false,
"version": "21.2.0",
"ecosystem": "pypi"
},
{
"name": "backoff",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "bert",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "bert-tensorflow",
"direct": false,
"version": "1.0.1",
"ecosystem": "pypi"
},
{
"name": "black",
"direct": false,
"version": "23.1.0",
"ecosystem": "pypi"
},
{
"name": "decorator",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "einops",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "flask-restful",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "fpdf",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "google-api-python-client",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "google-cloud-core",
"direct": false,
"version": "2.3.2",
"ecosystem": "pypi"
},
{
"name": "graphviz",
"direct": false,
"version": "0.8.4",
"ecosystem": "pypi"
},
{
"name": "grpcio",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "isort",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "keras2onnx",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "matplotlib",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "matplotlib",
"direct": false,
"version": "3.3.4",
"ecosystem": "pypi"
},
{
"name": "matplotlib",
"direct": false,
"version": "3.4.2",
"ecosystem": "pypi"
},
{
"name": "multipledispatch",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "mypy-protobuf",
"direct": false,
"version": "2.8",
"ecosystem": "pypi"
},
{
"name": "nltk",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "nvidia-modelopt",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "onnx",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "onnx",
"direct": false,
"version": "1.12.0",
"ecosystem": "pypi"
},
{
"name": "onnx",
"direct": false,
"version": "1.13.1",
"ecosystem": "pypi"
},
{
"name": "onnxconverter-common",
"direct": false,
"version": "1.12.2",
"ecosystem": "pypi"
},
{
"name": "onnxruntime",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "onnxruntime",
"direct": false,
"version": "1.12.0",
"ecosystem": "pypi"
},
{
"name": "opencv-python",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "opencv-python-headless",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "packaging",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pandas",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pandas",
"direct": false,
"version": "1.3.3",
"ecosystem": "pypi"
},
{
"name": "pandas",
"direct": false,
"version": "1.5.1",
"ecosystem": "pypi"
},
{
"name": "prompt-toolkit",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "protobuf",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "protobuf",
"direct": false,
"version": "3.19.4",
"ecosystem": "pypi"
},
{
"name": "protobuf",
"direct": false,
"version": "3.19.6",
"ecosystem": "pypi"
},
{
"name": "protobuf",
"direct": false,
"version": "3.20.2",
"ecosystem": "pypi"
},
{
"name": "psutil",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pulp",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pybind11",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pydot",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pytest",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pytest-cov",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pytest-mock",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pytest-random-order",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pyyaml",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "scikit-learn",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "scipy",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "sentencepiece",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "sentencepiece",
"direct": false,
"version": "0.1.96",
"ecosystem": "pypi"
},
{
"name": "setuptools",
"direct": false,
"version": "67.5",
"ecosystem": "pypi"
},
{
"name": "synr",
"direct": false,
"version": "0.4",
"ecosystem": "pypi"
},
{
"name": "tensorflow",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "tensorflow",
"direct": false,
"version": "1.15.0",
"ecosystem": "pypi"
},
{
"name": "tensorflow",
"direct": false,
"version": "2.4.0",
"ecosystem": "pypi"
},
{
"name": "tensorflow",
"direct": false,
"version": "2.7.2",
"ecosystem": "pypi"
},
{
"name": "tensorflow",
"direct": false,
"version": "2.8.4",
"ecosystem": "pypi"
},
{
"name": "tensorflow-datasets",
"direct": false,
"version": "4.7.0",
"ecosystem": "pypi"
},
{
"name": "tensorstore",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "tf2onnx",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "tiktoken",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "tokenization",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "torch",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "torch",
"direct": false,
"version": "1.12.1",
"ecosystem": "pypi"
},
{
"name": "torch",
"direct": false,
"version": "1.13.1",
"ecosystem": "pypi"
},
{
"name": "torch",
"direct": false,
"version": "1.9.1",
"ecosystem": "pypi"
},
{
"name": "torchvision",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "torchvision",
"direct": false,
"version": "0.10.1",
"ecosystem": "pypi"
},
{
"name": "torchvision",
"direct": false,
"version": "0.13.1",
"ecosystem": "pypi"
},
{
"name": "tqdm",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "transformers",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "transformers",
"direct": false,
"version": "4.40.0",
"ecosystem": "pypi"
},
{
"name": "triton",
"direct": false,
"version": "2.1.0",
"ecosystem": "pypi"
},
{
"name": "typing-extensions",
"direct": false,
"version": "3.7.4.3",
"ecosystem": "pypi"
},
{
"name": "virtualenv",
"direct": false,
"version": "16.7.9",
"ecosystem": "pypi"
},
{
"name": "wandb",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "wrapt",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "wrapt",
"direct": false,
"version": "1.14.1",
"ecosystem": "pypi"
},
{
"name": "zarr",
"direct": false,
"version": null,
"ecosystem": "pypi"
}
],
"collected": true,
"truncated": false,
"total_count": 90,
"direct_count": 8,
"indirect_count": 82
}
},
"maintainership": {
"issues": {
"open_prs": 14,
"merged_prs": 88,
"open_issues": 24,
"closed_ratio": 0.68,
"closed_issues": 51,
"closed_unmerged_prs": 25
},
"bus_factor": 2,
"bot_contributors": 0,
"top_contributors": [
{
"type": "User",
"login": "suisiyuan",
"commits": 107,
"avatar_url": "https://avatars.githubusercontent.com/u/9820147?v=4"
},
{
"type": "User",
"login": "JianzheXiao",
"commits": 64,
"avatar_url": "https://avatars.githubusercontent.com/u/116053859?v=4"
},
{
"type": "User",
"login": "jackzipu",
"commits": 21,
"avatar_url": "https://avatars.githubusercontent.com/u/74961298?v=4"
},
{
"type": "User",
"login": "Minghui-BD",
"commits": 17,
"avatar_url": "https://avatars.githubusercontent.com/u/94037790?v=4"
},
{
"type": "User",
"login": "YJessicaGao",
"commits": 14,
"avatar_url": "https://avatars.githubusercontent.com/u/40789415?v=4"
},
{
"type": "User",
"login": "keg0704",
"commits": 11,
"avatar_url": "https://avatars.githubusercontent.com/u/91190770?v=4"
},
{
"type": "User",
"login": "HanTengfei99",
"commits": 10,
"avatar_url": "https://avatars.githubusercontent.com/u/160694994?v=4"
},
{
"type": "User",
"login": "HunterHantao",
"commits": 10,
"avatar_url": "https://avatars.githubusercontent.com/u/8010994?v=4"
},
{
"type": "User",
"login": "stc-qiupeng",
"commits": 10,
"avatar_url": "https://avatars.githubusercontent.com/u/94040050?v=4"
},
{
"type": "User",
"login": "jessicagao01",
"commits": 6,
"avatar_url": "https://avatars.githubusercontent.com/u/274506410?v=4"
}
],
"contributors_sampled": 15,
"top_contributor_share": 0.382
},
"quality_signals": {
"has_ci": false,
"has_tests": true,
"ci_workflows": [],
"has_docs_dir": false,
"linter_configs": [
".flake8",
".pylintrc"
],
"has_editorconfig": false,
"has_linter_config": true,
"has_precommit_config": false
},
"security_signals": {
"lockfiles": [],
"scorecard": null,
"has_codeql_workflow": false,
"has_security_policy": false,
"has_dependabot_config": false
},
"contribution_flow": {
"collected": true,
"ci_last_run_at": "2026-07-29T17:55:22Z",
"oldest_open_prs": [
{
"number": 59,
"created_at": "2024-04-01T14:08:39Z",
"last_comment_at": "2024-04-01T14:08:46Z",
"last_comment_author": "CLAassistant"
},
{
"number": 66,
"created_at": "2024-04-19T12:13:47Z",
"last_comment_at": "2024-04-19T12:13:54Z",
"last_comment_author": "CLAassistant"
},
{
"number": 75,
"created_at": "2024-05-30T03:42:26Z",
"last_comment_at": "2024-05-30T03:42:33Z",
"last_comment_author": "CLAassistant"
},
{
"number": 93,
"created_at": "2024-08-20T07:15:14Z",
"last_comment_at": "2024-08-20T07:15:22Z",
"last_comment_author": "CLAassistant"
},
{
"number": 117,
"created_at": "2024-10-29T07:42:14Z",
"last_comment_at": "2024-10-29T07:42:22Z",
"last_comment_author": "CLAassistant"
},
{
"number": 119,
"created_at": "2024-11-06T02:17:29Z",
"last_comment_at": "2025-03-10T06:16:51Z",
"last_comment_author": "Yi-sir"
},
{
"number": 135,
"created_at": "2025-05-24T11:26:07Z",
"last_comment_at": "2025-05-24T11:26:12Z",
"last_comment_author": "CLAassistant"
},
{
"number": 137,
"created_at": "2025-06-27T07:40:18Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 138,
"created_at": "2025-06-27T07:57:25Z",
"last_comment_at": "2025-06-27T08:15:27Z",
"last_comment_author": "caizhi-mt"
},
{
"number": 184,
"created_at": "2026-02-24T01:23:19Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 191,
"created_at": "2026-04-17T09:59:32Z",
"last_comment_at": "2026-04-18T09:41:49Z",
"last_comment_author": "testman0001"
},
{
"number": 197,
"created_at": "2026-05-06T09:30:24Z",
"last_comment_at": "2026-05-06T09:30:33Z",
"last_comment_author": "CLAassistant"
},
{
"number": 200,
"created_at": "2026-05-20T07:48:59Z",
"last_comment_at": "2026-05-20T07:49:06Z",
"last_comment_author": "CLAassistant"
},
{
"number": 202,
"created_at": "2026-06-11T09:50:15Z",
"last_comment_at": "2026-06-11T09:53:13Z",
"last_comment_author": "CLAassistant"
}
],
"last_merged_pr_at": "2026-04-22T07:31:09Z",
"ci_last_conclusion": "SUCCESS",
"oldest_open_issues": [
{
"number": 49,
"created_at": "2024-02-23T10:54:08Z",
"last_comment_at": "2024-03-26T20:47:43Z",
"last_comment_author": "JianzheXiao"
},
{
"number": 77,
"created_at": "2024-06-03T09:37:00Z",
"last_comment_at": "2024-06-24T12:01:37Z",
"last_comment_author": "suisiyuan"
},
{
"number": 104,
"created_at": "2024-09-02T07:04:14Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 112,
"created_at": "2024-10-11T02:51:25Z",
"last_comment_at": "2024-10-15T06:06:32Z",
"last_comment_author": "danielhua23"
},
{
"number": 113,
"created_at": "2024-10-15T07:23:03Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 115,
"created_at": "2024-10-21T08:23:31Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 123,
"created_at": "2024-11-22T02:07:07Z",
"last_comment_at": "2024-11-22T02:10:52Z",
"last_comment_author": "yaoyixuejava"
},
{
"number": 131,
"created_at": "2025-02-20T03:41:08Z",
"last_comment_at": "2025-02-20T03:52:46Z",
"last_comment_author": "suisiyuan"
},
{
"number": 139,
"created_at": "2025-08-11T03:39:51Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 146,
"created_at": "2025-12-08T05:21:58Z",
"last_comment_at": "2025-12-08T13:47:40Z",
"last_comment_author": "Riverstrider"
},
{
"number": 147,
"created_at": "2025-12-08T05:24:59Z",
"last_comment_at": "2025-12-08T13:04:16Z",
"last_comment_author": "jiajiacui0404"
},
{
"number": 149,
"created_at": "2025-12-08T06:56:40Z",
"last_comment_at": "2025-12-08T07:05:35Z",
"last_comment_author": "HunterHantao"
},
{
"number": 160,
"created_at": "2025-12-09T01:38:21Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 172,
"created_at": "2026-01-12T07:27:37Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 183,
"created_at": "2026-02-19T23:21:17Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 187,
"created_at": "2026-04-02T08:16:58Z",
"last_comment_at": "2026-04-03T07:22:21Z",
"last_comment_author": "suisiyuan"
},
{
"number": 188,
"created_at": "2026-04-03T03:34:11Z",
"last_comment_at": "2026-04-03T07:21:14Z",
"last_comment_author": "suisiyuan"
},
{
"number": 189,
"created_at": "2026-04-15T11:36:31Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 190,
"created_at": "2026-04-17T09:57:55Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 195,
"created_at": "2026-04-29T08:32:26Z",
"last_comment_at": null,
"last_comment_author": null
}
]
}
},
"config": {
"disabled_metrics": [],
"disabled_categories": [],
"disabled_components": {}
},
"source": {
"url": "https://github.com/bytedance/xpu-perf",
"host": "github.com",
"name": "xpu-perf",
"owner": "bytedance"
},
"metrics": {
"overall": {
"key": "overall",
"band": "moderate",
"name": "Overall health",
"note": null,
"notes": [],
"value": 51,
"inputs": {
"security": 16,
"vitality": 41,
"community": 67,
"governance": 69,
"engineering": 56
},
"components": []
},
"categories": [
{
"key": "vitality",
"band": "at_risk",
"name": "Vitality",
"value": 41,
"weight": 0.22,
"metrics": [
{
"key": "development_activity",
"band": "at_risk",
"name": "Development activity",
"note": null,
"notes": [],
"value": 33,
"inputs": {
"commits_last_year": 29,
"human_commit_share": 1,
"days_since_last_push": 99,
"active_weeks_last_year": 10
},
"components": [
{
"key": "push_recency",
"name": "Push recency",
"detail": "last push 99 days ago",
"points": 9.9,
"status": "partial",
"details": [
{
"code": "push_recency",
"params": {
"days": 99
}
}
],
"max_points": 36
},
{
"key": "commit_cadence",
"name": "Commit cadence",
"detail": "10/52 weeks with commits",
"points": 6.9,
"status": "partial",
"details": [
{
"code": "commit_cadence_weeks",
"params": {
"weeks": 10
}
}
],
"max_points": 36
},
{
"key": "commit_volume",
"name": "Commit volume",
"detail": "29 commits in the last year",
"points": 13.3,
"status": "partial",
"details": [
{
"code": "commits_last_year",
"params": {
"count": 29
}
}
],
"max_points": 18
},
{
"key": "openssf_scorecard_maintained",
"name": "OpenSSF Scorecard: Maintained",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
}
]
},
{
"key": "release_discipline",
"band": "moderate",
"name": "Release discipline",
"note": null,
"notes": [],
"value": 52,
"inputs": {
"releases_count": 1,
"latest_release_tag": "v1.0.0",
"releases_from_tags": false,
"days_since_latest_release": 703,
"mean_days_between_releases": null
},
"components": [
{
"key": "ships_releases",
"name": "Ships releases",
"detail": "1 releases published",
"points": 27,
"status": "met",
"details": [
{
"code": "releases_published",
"params": {
"count": 1
}
}
],
"max_points": 27
},
{
"key": "release_recency",
"name": "Release recency",
"detail": "latest release 703 days ago",
"points": 7.2,
"status": "partial",
"details": [
{
"code": "release_recency",
"params": {
"days": 703
}
}
],
"max_points": 36
},
{
"key": "release_cadence",
"name": "Release cadence",
"detail": "cadence unknown (single release)",
"points": 12.6,
"status": "partial",
"details": [
{
"code": "release_cadence_unknown",
"params": {}
}
],
"max_points": 27
},
{
"key": "openssf_scorecard_signed_releases",
"name": "OpenSSF Scorecard: Signed-Releases",
"detail": "OpenSSF Scorecard unavailable",
"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,
"unanswered_open_prs": null,
"unanswered_open_issues": null,
"days_since_last_merged_pr": null,
"days_since_last_human_commit": 99,
"days_since_last_human_commit_is_floor": false
},
"components": [
{
"key": "project_is_still_maintained",
"name": "Project is still maintained",
"detail": "last human commit 99 days ago",
"points": 100,
"status": "met",
"details": [
{
"code": "abandonment_maintained",
"params": {
"days": 99
}
}
],
"max_points": 100
}
]
}
],
"description": "Is the project alive — is code being written and are releases shipping?"
},
{
"key": "community",
"band": "moderate",
"name": "Community & Adoption",
"value": 67,
"weight": 0.18,
"metrics": [
{
"key": "popularity",
"band": "moderate",
"name": "Popularity & adoption",
"note": null,
"notes": [],
"value": 65,
"inputs": {
"forks": 130,
"stars": 370,
"watchers": 12,
"growth_state": "unverified",
"growth_factor_pct": 100,
"growth_unverified_reason": "no_history"
},
"components": [
{
"key": "stars",
"name": "Stars",
"detail": "370 stars",
"points": 41.6,
"status": "partial",
"details": [
{
"code": "stars",
"params": {
"count": 370
}
}
],
"max_points": 60
},
{
"key": "forks",
"name": "Forks",
"detail": "130 forks",
"points": 17.6,
"status": "partial",
"details": [
{
"code": "forks",
"params": {
"count": 130
}
}
],
"max_points": 25
},
{
"key": "watchers",
"name": "Watchers",
"detail": "12 watchers",
"points": 5.8,
"status": "partial",
"details": [
{
"code": "watchers",
"params": {
"count": 12
}
}
],
"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"
}
}
],
"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
}
]
}
],
"description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
},
{
"key": "governance",
"band": "moderate",
"name": "Sustainability & Governance",
"value": 69,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
"band": "moderate",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 58,
"inputs": {
"bus_factor": 2,
"contributors_sampled": 15,
"top_contributor_share": 0.382
},
"components": [
{
"key": "bus_factor",
"name": "Bus factor",
"detail": "2 contributor(s) cover half of all commits",
"points": 25.2,
"status": "partial",
"details": [
{
"code": "bus_factor",
"params": {
"count": 2
}
}
],
"max_points": 54
},
{
"key": "commit_distribution",
"name": "Commit distribution",
"detail": "top contributor authored 38% of commits",
"points": 13.9,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 38
}
}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "15 contributors",
"points": 13.5,
"status": "met",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 15
}
}
],
"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": 72,
"inputs": {
"merged_prs": 88,
"open_issues": 24,
"closed_issues": 51,
"issue_closed_ratio": 0.68,
"closed_unmerged_prs": 25
},
"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "68% of issues closed",
"points": 31.8,
"status": "partial",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 68
}
}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "88/113 decided PRs merged",
"points": 29.8,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
"params": {
"merged": 88,
"decided": 113
}
}
],
"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": 18616,
"owner_type": "Organization",
"is_verified": null,
"owner_login": "bytedance",
"public_repos": 414,
"account_age_days": 4854
},
"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": "18,616 followers of bytedance",
"points": 25,
"status": "met",
"details": [
{
"code": "owner_followers",
"params": {
"count": 18616,
"login": "bytedance"
}
}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "414 public repos, account ~13 yr old",
"points": 25,
"status": "met",
"details": [
{
"code": "public_repos",
"params": {
"count": 414
}
},
{
"code": "account_age_years",
"params": {
"years": 13
}
}
],
"max_points": 25
}
]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "moderate",
"name": "Engineering Quality",
"value": 56,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "moderate",
"name": "Engineering practices",
"note": null,
"notes": [],
"value": 50,
"inputs": {
"has_ci": false,
"has_tests": true,
"has_editorconfig": false,
"has_linter_config": true,
"has_precommit_config": false
},
"components": [
{
"key": "ci_workflows",
"name": "CI workflows",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"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": ".flake8, .pylintrc",
"points": 16,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".flake8, .pylintrc"
}
}
],
"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": [
"python"
],
"has_wiki": false,
"homepage": "https://xpu-perf.ai/",
"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://xpu-perf.ai/",
"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": "1 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
"count": 1
}
}
],
"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": 16,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "critical",
"name": "Security posture",
"note": null,
"notes": [],
"value": 1,
"inputs": {
"source": "file_signals",
"lockfiles": [],
"manifests": [
"pyproject.toml"
],
"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": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 25
},
{
"key": "codeql_workflow",
"name": "CodeQL workflow",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
}
]
},
{
"key": "dependency_advisories",
"band": "good",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 38 resolved dependencies against OSV; 52 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": [
"indirect_dependencies_free_of_known_advisories"
]
}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_repository",
"params": {
"assessed": 38
}
},
{
"code": "advisories_unassessed",
"params": {
"count": 52
}
},
{
"code": "advisories_repo_graph_caveat",
"params": {}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 74,
"inputs": {
"source": "osv",
"advisories": 1854,
"affected_packages": 18,
"assessed_packages": 38,
"unassessed_packages": 52,
"affected_by_severity": "critical 9, high 7, moderate 2",
"direct_affected_packages": 1
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "1 affected: numpy 1.19.2 (moderate 5.3)",
"points": 20.2,
"status": "partial",
"details": [
{
"code": "advisories_affected",
"params": {
"count": 1,
"packages": "numpy 1.19.2 (moderate 5.3)"
}
}
],
"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": "1 advisory-carrying package(s) unaddressed past 90 days; oldest published 1685 days ago",
"points": 35.3,
"status": "partial",
"details": [
{
"code": "advisories_stale",
"params": {
"days": 90,
"count": 1,
"oldest": 1685
}
}
],
"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": 38,
"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": 2
},
"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": 62,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 20,
"inputs": {
"has_llms_txt": false,
"legible_history_share": 0.37,
"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
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "37 of 100 human commits state their intent (structured subject or explanatory body)",
"points": 19.7,
"status": "partial",
"details": [
{
"code": "legible_history",
"params": {
"legible": 37,
"sampled": 100
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "good",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 80,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [],
"has_dockerfile": true,
"typed_language": false,
"bootstrap_files": [
"projects/train_perf/Megatron-LM/megatron/core/datasets/Makefile"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [
"projects/train_perf/Megatron-LM/mypy.ini"
],
"agent_commit_share": 0,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "projects/train_perf/Megatron-LM/megatron/core/datasets/Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "projects/train_perf/Megatron-LM/megatron/core/datasets/Makefile"
}
}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": ".flake8, .pylintrc",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".flake8, .pylintrc"
}
}
],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "projects/train_perf/Megatron-LM/mypy.ini",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "projects/train_perf/Megatron-LM/mypy.ini"
}
}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "Dockerfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Dockerfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no agent-authored commits among the last 100",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_authored_commits",
"params": {
"sampled": 100
}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no automated dependency updates observed",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_dependency_automation",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "good",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 81,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 132791,
"source_files_sampled": 757,
"oversized_source_files": 8
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (projects/train_perf/Megatron-LM/mypy.ini)",
"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
"files": "projects/train_perf/Megatron-LM/mypy.ini",
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "8/757 source files over 60KB",
"points": 54.4,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 757,
"oversized": 8
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "good",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 80,
"inputs": {
"example_dirs": [
"examples",
"recipes"
],
"has_mcp_signal": false,
"api_schema_files": [
"projects/infer_perf/llm_perf/server/server.proto"
]
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": "projects/infer_perf/llm_perf/server/server.proto",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "projects/infer_perf/llm_perf/server/server.proto"
}
}
],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "examples, recipes",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples, recipes"
}
}
],
"max_points": 40
}
]
}
],
"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": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"Could not fetch pypi package 'xpu-perf' from its registry",
"Advisory severity resolved for 120 of 731 advisories (lookup cap); the remainder are reported as unknown severity",
"OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks"
],
"report_type": "repository",
"generated_at": "2026-07-30T11:27:36.779050Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/b/bytedance/xpu-perf.svg",
"full_name": "bytedance/xpu-perf",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}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.