Registro públicoExcelente
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-29 02:07 UTC
flagos-ai / FlagGems
FlagGems is an operator library for large language models implemented in the Triton Language.
flagos-ai/FlagGems tiene un índice de salud de 85 sobre 100, lo que lo sitúa en la banda Excelente. Su puntuación más alta es Vitality (99/100) y la más baja, AI Readiness (55/100). Se actualizó por última vez hoy. 6 personas concentran la mayor parte del trabajo reciente.
85
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.
85
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
FlagOSOrganización
248 seguidores51 repositorios públicosdesde nov 2025
Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.
Ecosistemas de paquetes
| Registro | Paquete | Versión | Descargas / mes | Versiones | Última publicación |
|---|---|---|---|---|---|
| PyPI | flag_gems | 5.0.2 | - | 7 | hace 95 días |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
99
Actividad de desarrollo
99Excelente
Cómo se puntúa
| 36/36 | Recencia de push — último push hace 0 días |
| 35.3/36 | Cadencia de commits — 51/52 semanas con commits |
| 18/18 | Volumen de commits — 2337 commits en el último año |
| 0/10 | OpenSSF Scorecard: Maintained — sin datos |
Datos de entrada utilizados
| commits_last_year | 2337 |
| human_commit_share | 0,97 |
| days_since_last_push | 0 |
| active_weeks_last_year | 51 |
Disciplina de publicación
100Excelente
Cómo se puntúa
| 27/27 | Publica versiones — 6 versiones publicadas |
| 36/36 | Recencia de las versiones — última versión hace 34 días |
| 27/27 | Cadencia de publicación — una versión cada ~34,1 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 6 |
| latest_release_tag | v5.3.0 |
| releases_from_tags | no |
| days_since_latest_release | 34 |
| mean_days_between_releases | 34,1 |
Comunidad y Adopción
¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?
85
Popularidad y adopción
78Bueno
Cómo se puntúa
| 49/60 | Estrellas — 1057 estrellas |
| 22.3/25 | Forks — 473 forks |
| 6.7/15 | Observadores — 17 observadores |
Datos de entrada utilizados
| forks | 473 |
| stars | 1057 |
| watchers | 17 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Salud de la comunidad
92Excelente
Cómo se puntúa
| 22.5/22.5 | README |
| 22.5/22.5 | Licencia — licencia reconocida (Apache-2.0) |
| 18/18 | Guía CONTRIBUTING |
| 13.5/13.5 | Código de conducta |
| 0/7.2 | Plantilla de issues |
| 6.3/6.3 | Plantilla de PR |
Datos de entrada utilizados
| has_readme | sí |
| has_license | sí |
| has_contributing | sí |
| has_issue_template | no |
| has_code_of_conduct | sí |
| has_pull_request_template | sí |
Sostenibilidad y Gobernanza
¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?
76
Resiliencia de mantenedores (factor bus)
87Excelente
Cómo se puntúa
| 48.6/54 | Factor bus — la mitad de los commits recae en 6 contribuyente(s) |
| 15.9/22.5 | Distribución de commits — el principal contribuyente firma el 29% de los commits |
| 13.5/13.5 | Amplitud de contribuyentes — 99 contribuyentes |
| 0/10 | OpenSSF Scorecard: Contributors — sin datos |
Datos de entrada utilizados
| bus_factor | 6 |
| contributors_sampled | 99 |
| top_contributor_share | 0,294 |
Capacidad de respuesta a issues y PR
60Moderado
Cómo se puntúa
| 23.8/46.8 | Resolución de issues — 51% de issues cerradas |
| 27.6/38.3 | Aceptación de PR — 2869/3981 PR decididos fusionados |
| 0/15 | OpenSSF Scorecard: Code-Review — sin datos |
Datos de entrada utilizados
| merged_prs | 2869 |
| open_issues | 313 |
| closed_issues | 325 |
| issue_closed_ratio | 0,509 |
| closed_unmerged_prs | 1112 |
Propiedad y custodia
61Moderado
Cómo se puntúa
| 30/30 | Respaldo de la propiedad — propiedad de una organización |
| 0/20 | Dominio verificado |
| 17.2/25 | Alcance del propietario — 248 seguidores de flagos-ai |
| 13.9/25 | Trayectoria — 51 repos públicos, cuenta de ~0 años |
Datos de entrada utilizados
| followers | 248 |
| owner_type | Organization |
| is_verified | — |
| owner_login | flagos-ai |
| public_repos | 51 |
| account_age_days | 262 |
Mantenimiento de paquetes
100Excelente
Cómo se puntúa
| 25/25 | Publicado y resoluble — 1 paquete(s) en pypi |
| 35/35 | Recencia de publicación — última publicación hace 95 días |
| 20/20 | Historial de versiones — 7 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
Datos de entrada utilizados
| packages | flag_gems |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 95 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
85
Prácticas de ingeniería
92Excelente
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 16 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 16/16 | Configuración de linter |
| 9.6/9.6 | Hooks de pre-commit |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — sin datos |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | sí |
| has_precommit_config | sí |
Documentación
75Bueno
Cómo se puntúa
| 30/30 | README |
| 25/25 | Directorio de documentación |
| 0/15 | Sitio de documentación / página del proyecto |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 3 topics |
| 0/10 | Wiki |
Datos de entrada utilizados
| topics | pytorch, triton, triton-kernels |
| has_wiki | no |
| homepage | — |
| has_readme | sí |
| has_docs_dir | sí |
| has_description | sí |
Seguridad
¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?
78
Postura de seguridad
73Bueno
Cómo se puntúa
| 30/30 | Política de seguridad (SECURITY.md) |
| 25/25 | Configuración de Dependabot |
| 0/25 | Lockfiles de dependencias — biblioteca publicada — los lockfiles son cosa de las aplicaciones, no se esperan aquí |
| 0/20 | Flujo de trabajo de CodeQL |
Datos de entrada utilizados
| source | file_signals |
| lockfiles | — |
| manifests | cpp/pyproject.toml, pyproject.toml, setup.py |
| has_codeql_workflow | no |
| has_security_policy | sí |
| has_dependabot_config | sí |
Excluidos de la puntuación (sin datos o no aplicable): Lockfiles de dependencias. Los pesos restantes se han renormalizado.
Avisos de dependencias
100Excelente
Cómo se puntúa
| 35/35 | Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido |
| 25/25 | Dependencias indirectas libres de avisos conocidos — ninguna dependencia indirecta tiene un aviso conocido |
| 0/40 | Sin avisos pendientes — ningún aviso tiene fecha de publicación |
Datos de entrada utilizados
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 6 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluidos de la puntuación (sin datos o no aplicable): Sin avisos pendientes. Los pesos restantes se han renormalizado. Se cotejó el cierre de dependencias en tiempo de ejecución de pypi:flag_gems@5.0.2 —lo que arrastra la instalación del paquete publicado—: 6 paquetes. No se analiza la alcanzabilidad.
Preparación para IA
¿Hasta qué punto está el repositorio preparado para desarrollarse y mantenerse con agentes de codificación de IA? Es una insignia independiente y experimental — peso 0,0, de modo que se presenta por separado y no afecta a la puntuación de salud global.
55
Contexto y guía para agentes
40En riesgo
Cómo se puntúa
| 0/45 | Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 40/40 | Historial de commits legible — 91 de 97 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | 0,938 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Cómo se puntúa
| 12.6/18 | Arranque con un solo comando — docs/themes/hugo-book/go.mod (convención del toolchain, sin ejecutor de tareas) |
| 22/22 | Pruebas automatizadas |
| 11/11 | Configuración de lint / formato |
| 0/11 | Verificación estática de tipos |
| 0/10 | Entorno reproducible |
| 10/10 | Práctica demostrada con agentes — 24 de los últimos 100 commits con autoría o crédito de agente |
| 8/8 | Mantenimiento automatizado — 3 de los últimos 100 commits son 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 | no |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | sí |
| typecheck_configs | — |
| agent_commit_share | 0,24 |
| toolchain_manifests | docs/themes/hugo-book/go.mod |
| dependency_bot_commit_share | 0,03 |
Legibilidad del código para modelos
55Moderado
Cómo se puntúa
| 0/45 | Código verificable por tipos — Python sin configuración de verificación de tipos |
| 54.7/55 | Tamaños de archivo manejables — 17/3414 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 2.707.645 |
| source_files_sampled | 3414 |
| oversized_source_files | 17 |
Interfaces legibles por máquina
40En riesgo
Cómo se puntúa
| 0/40 | Esquema de API (OpenAPI/GraphQL/proto) |
| 0/20 | Servidor MCP |
| 40/40 | Ejemplos ejecutables — example, examples |
Datos de entrada utilizados
| example_dirs | example, examples |
| has_mcp_signal | no |
| api_schema_files | — |
Datos clave
1057estrellas de GitHub
99contribuidores
2337commits en los últimos 12 meses
0días desde el último push
6versiones publicadas
6factor bus
313issues 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 'flag-gems-cpp-__VENDOR__' from its registry
- OpenSSF Scorecard did not return a usable result (2026/07/29 02:06:51 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks
Más detalle
Historial de estrellas y forks 0 ★ / 473 ⇿
0Estrellas
473Forks
6Versiones
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 2Parche 1
Cada punto abarca 2 días.
Dependencias directas 5
| Registro | Paquete | Restricción de versión | Manifiesto |
|---|---|---|---|
| PyPI | flag-gems | — | cpp/pyproject.toml |
| PyPI | packaging | >=26.0 | pyproject.toml |
| PyPI | PyYAML | ==6.0.1 | pyproject.toml |
| PyPI | sqlalchemy | ==2.0.48 | pyproject.toml |
| PyPI | numpy | — | pyproject.toml |
Todas las dependencias 48
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 3 paquetes directos y 45 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|---|---|---|
| PyPI | packaging | — | directa |
| PyPI | pyyaml | 6.0.1 | directa |
| PyPI | sqlalchemy | 2.0.48 | directa |
| PyPI | apex | 0.1 | indirecta |
| PyPI | benchflow | 1.0.0 | indirecta |
| PyPI | cambricon-dali | 0.13.0 | indirecta |
| PyPI | cmake | — | indirecta |
| PyPI | colorama | 0.4.6 | indirecta |
| PyPI | coverage | 7.13.5 | indirecta |
| PyPI | datasets | — | indirecta |
| PyPI | distro | 1.9.0 | indirecta |
| PyPI | flash-attn | 2.4.2+7e2dd4d | indirecta |
| PyPI | hydrax | 0.1.0 | indirecta |
| PyPI | hyperparameter | 0.5.6 | indirecta |
| PyPI | mkl | 2024.0.0 | indirecta |
| PyPI | ninja | — | indirecta |
| PyPI | openpyxl | 3.1.5 | indirecta |
| PyPI | pandas | — | indirecta |
| PyPI | pandas | 2.3.3 | indirecta |
| PyPI | psutil | 6.1.0 | indirecta |
| PyPI | pybind11 | — | indirecta |
| PyPI | pybind11 | 3.0.3 | indirecta |
| PyPI | pyefml | 1.9.10 | indirecta |
| PyPI | pytest | 9.0.3 | indirecta |
| PyPI | pytest-md-report | 0.8.0 | indirecta |
| PyPI | regex | 2026.4.4 | indirecta |
| PyPI | scikit-build-core | — | indirecta |
| PyPI | scikit-build-core | 0.12.2 | indirecta |
| PyPI | scipy | — | indirecta |
| PyPI | setuptools | — | indirecta |
| PyPI | setuptools-scm | — | indirecta |
| PyPI | torch | 2.7.0+cpu | indirecta |
| PyPI | torch-gcu | 2.10.0+3.7.20260408 | indirecta |
| PyPI | torch-mlu | 1.29.2+torch2.7.1 | indirecta |
| PyPI | torch-mlu-ops | 1.8.0+torch2.7.1 | indirecta |
| PyPI | torch-musa | 2.9.0 | indirecta |
| PyPI | torch-npu | 2.9.0 | indirecta |
| PyPI | torch-plugin | 0.1.0 | indirecta |
| PyPI | torch-ptpu | 0.2.3+torch2.11 | indirecta |
| PyPI | torch-txda | 0.1.0+20260615.37ba6bbd | indirecta |
| PyPI | torch-xray | 2.0.4 | indirecta |
| PyPI | torchaudio | 2.4.1+metax3.7.2.0 | indirecta |
| PyPI | torchvision | 0.15.1+metax3.7.2.0 | indirecta |
| PyPI | transformers | — | indirecta |
| PyPI | txops | 0.1.0+20260508.60287151 | indirecta |
| PyPI | vllm | — | indirecta |
| PyPI | xformers | 0.0.29+1e7a8ec.d20260114 | indirecta |
| PyPI | xmlir | 1.0.0.1 | indirecta |
Avisos de dependencias 0
Instalar pypi:flag_gems@5.0.2 arrastra 6 paquetes, directos y transitivos: 0 tienen avisos conocidos, de los cuales 0 son dependencias directas.
Ningún aviso conocido afecta a las dependencias evaluadas.
Un aviso significa que la versión registrada en el grafo de dependencias cae dentro del rango afectado de un aviso. No se analiza la alcanzabilidad, y el grafo incluye fijaciones de desarrollo y prueba: un hallazgo puede referirse al utillaje y no al software distribuido.
Informe JSON sin procesar legible por máquina
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},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"Could not fetch pypi package 'flag-gems-cpp-__VENDOR__' from its registry",
"OpenSSF Scorecard did not return a usable result (2026/07/29 02:06:51 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks"
],
"report_type": "repository",
"generated_at": "2026-07-29T02:07:20.592958Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/f/flagos-ai/FlagGems.svg",
"full_name": "flagos-ai/FlagGems",
"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 — PyPI.