Registro públicoBueno
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-24 11:35 UTC
Lightning-AI / litgpt
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Lightning-AI/litgpt tiene un índice de salud de 82 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Community & Adoption (91/100) y la más baja, AI Readiness (52/100). Se actualizó por última vez hace 4 días. 2 personas concentran la mayor parte del trabajo reciente.
82
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.
82
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
⚡️ Lightning AI Organización
6839 seguidores29 repositorios públicosdesde dic 2019
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 | litgpt | 0.5.13 | - | 34 | hace 21 días |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
85
Actividad de desarrollo
86Excelente
Cómo se puntúa
| 36/36 | Recencia de push — último push hace 4 días |
| 22.2/36 | Cadencia de commits — 32/52 semanas con commits |
| 17.4/18 | Volumen de commits — 86 commits en el último año |
| 10/10 | OpenSSF Scorecard: Maintained — 14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Datos de entrada utilizados
| commits_last_year | 86 |
| human_commit_share | 0,81 |
| days_since_last_push | 4 |
| active_weeks_last_year | 32 |
Disciplina de publicación
83Bueno
Cómo se puntúa
| 27/27 | Publica versiones — 29 versiones publicadas |
| 36/36 | Recencia de las versiones — última versión hace 24 días |
| 19.8/27 | Cadencia de publicación — una versión cada ~61,5 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Datos de entrada utilizados
| releases_count | 29 |
| latest_release_tag | v0.5.13 |
| releases_from_tags | no |
| days_since_latest_release | 24 |
| mean_days_between_releases | 61,5 |
Comunidad y Adopción
¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?
91
Popularidad y adopción
96Excelente
Cómo se puntúa
| 60/60 | Estrellas — 13.496 estrellas |
| 25/25 | Forks — 1473 forks |
| 11.5/15 | Observadores — 118 observadores |
Datos de entrada utilizados
| forks | 1473 |
| stars | 13.496 |
| watchers | 118 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Salud de la comunidad
85Excelente
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 |
| 0/6.3 | Plantilla de PR |
Datos de entrada utilizados
| has_readme | sí |
| has_license | sí |
| has_contributing | sí |
| has_issue_template | no |
| has_code_of_conduct | sí |
| has_pull_request_template | no |
Sostenibilidad y Gobernanza
¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?
80
Resiliencia de mantenedores (factor bus)
65Moderado
Cómo se puntúa
| 25.2/54 | Factor bus — la mitad de los commits recae en 2 contribuyente(s) |
| 16.1/22.5 | Distribución de commits — el principal contribuyente firma el 28% de los commits |
| 13.5/13.5 | Amplitud de contribuyentes — 98 contribuyentes |
| 10/10 | OpenSSF Scorecard: Contributors — project has 27 contributing companies or organizations |
Datos de entrada utilizados
| bus_factor | 2 |
| contributors_sampled | 98 |
| top_contributor_share | 0,283 |
Cómo se puntúa
| 34.7/46.8 | Resolución de issues — 74% de issues cerradas |
| 33.2/38.3 | Aceptación de PR — 1147/1320 PR decididos fusionados |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Datos de entrada utilizados
| merged_prs | 1147 |
| open_issues | 235 |
| closed_issues | 679 |
| issue_closed_ratio | 0,743 |
| closed_unmerged_prs | 173 |
Propiedad y custodia
78Bueno
Cómo se puntúa
| 30/30 | Respaldo de la propiedad — propiedad de una organización |
| 0/20 | Dominio verificado |
| 25/25 | Alcance del propietario — 6839 seguidores de Lightning-AI |
| 22.8/25 | Trayectoria — 29 repos públicos, cuenta de ~6 años |
Datos de entrada utilizados
| followers | 6839 |
| owner_type | Organization |
| is_verified | — |
| owner_login | Lightning-AI |
| public_repos | 29 |
| account_age_days | 2427 |
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 21 días |
| 20/20 | Historial de versiones — 34 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
Datos de entrada utilizados
| packages | litgpt |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 21 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
82
Prácticas de ingeniería
94Excelente
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 4 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 |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | sí |
| has_precommit_config | sí |
Documentación
65Moderado
Cómo se puntúa
| 30/30 | README |
| 0/25 | Directorio de documentación |
| 15/15 | Sitio de documentación / página del proyecto — https://lightning.ai |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 7 topics |
| 0/10 | Wiki |
Datos de entrada utilizados
| topics | ai, artificial-intelligence, deep-learning, large-language-models, llm, llm-inference, llms |
| has_wiki | no |
| homepage | https://lightning.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?
72
Postura de seguridad
65Moderado
Cómo se puntúa
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — sin datos |
| 2.5/2.5 | CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 27 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Licencia — license file detected |
| 7.5/7.5 | Maintained — 14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 3/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Datos de entrada utilizados
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 6,5 |
Excluidos de la puntuación (sin datos o no aplicable): branch_protection. 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 | 43 |
| 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:litgpt@0.5.13 —lo que arrastra la instalación del paquete publicado—: 43 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.
52
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 — 80 de 81 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | 0,988 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Cómo se puntúa
| 0/18 | Arranque con un solo comando |
| 22/22 | Pruebas automatizadas |
| 11/11 | Configuración de lint / formato |
| 0/11 | Verificación estática de tipos |
| 10/10 | Entorno reproducible — devcontainer, Dockerfile |
| 8/10 | Práctica demostrada con agentes — 4 de los últimos 100 commits con autoría o crédito de agente |
| 8/8 | Mantenimiento automatizado — 15 de los últimos 100 commits son actualizaciones automáticas de dependencias |
| 6/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6 |
Datos de entrada utilizados
| has_nix | no |
| has_tests | sí |
| lockfiles | — |
| has_dockerfile | sí |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | sí |
| has_linter_config | sí |
| typecheck_configs | — |
| agent_commit_share | 0,04 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0,15 |
Legibilidad del código para modelos
54Moderado
Cómo se puntúa
| 0/45 | Código verificable por tipos — Python sin configuración de verificación de tipos |
| 53.8/55 | Tamaños de archivo manejables — 3/137 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 99.516 |
| source_files_sampled | 137 |
| oversized_source_files | 3 |
Interfaces legibles por máquina
40En riesgo
Cómo se puntúa
| 0/40 | Esquema de API (OpenAPI/GraphQL/proto) |
| 0/20 | Servidor MCP |
| 40/40 | Ejemplos ejecutables — examples |
Datos de entrada utilizados
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
Datos clave
13.496estrellas de GitHub
98contribuidores
86commits en los últimos 12 meses
4días desde el último push
29versiones publicadas
2factor bus
235issues abiertas
PyPIecosistemas de paquetes
Advertencias de recopilación de datos
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Más detalle
Historial de estrellas y forks 0 ★ / 1473 ⇿
0Estrellas
1473Forks
29Versiones
Cuándo se añadió cada estrella y fork, recopilado de GitHub y agrupado por día. El crecimiento acumulado se sitúa justo encima de las adiciones diarias que lo componen, de modo que ambos se leen en conjunto: la acumulación orgánica sostenida no se parece en nada a un pico abrupto y efímero. Cuando esa diferencia es medible, se informa como autenticidad del crecimiento.
Solo se muestra el historial más reciente: este repositorio supera la ventana de recopilación, por lo que no se captura el historial más antiguo.
Mayor 0Menor 2Parche 26
Cada punto abarca 3 días.
OpenSSF Scorecard 6.5 / 10
6.5agregado
Evaluación de seguridad independiente y agnóstica en cuanto a herramientas, procedente del proyecto de código abierto OpenSSF Scorecard. Cada comprobación premia una práctica de seguridad, no la herramienta de un proveedor concreto. Las comprobaciones que Scorecard no pudo determinar se marcan como n/d y se excluyen de la puntuación de seguridad (nunca se cuentan como cero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| n/d | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 10 | CI-Tests | 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 27 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 6 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 6 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Dependencias directas 8
| Registro | Paquete | Restricción de versión | Manifiesto |
|---|---|---|---|
| PyPI | huggingface-hub | >=0.30,<1.4 | pyproject.toml |
| PyPI | jsonargparse | >=4.37,<=4.41 | pyproject.toml |
| PyPI | lightning | >=2.6.1 | pyproject.toml |
| PyPI | psutil | ==7.2.2 | pyproject.toml |
| PyPI | safetensors | >=0.4.3 | pyproject.toml |
| PyPI | tokenizers | >=0.21 | pyproject.toml |
| PyPI | torch | >=2.7 | pyproject.toml |
| PyPI | tqdm | >4.66 | pyproject.toml |
Todas las dependencias 33
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 8 paquetes directos y 25 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|---|---|---|
| PyPI | huggingface-hub | — | directa |
| PyPI | jsonargparse | — | directa |
| PyPI | lightning | — | directa |
| PyPI | psutil | 7.2.2 | directa |
| PyPI | safetensors | — | directa |
| PyPI | tokenizers | — | directa |
| PyPI | torch | — | directa |
| PyPI | tqdm | — | directa |
| PyPI | bitsandbytes | — | indirecta |
| PyPI | datasets | — | indirecta |
| PyPI | einops | — | indirecta |
| PyPI | lightning-thunder | — | indirecta |
| PyPI | litdata | 0.2.59 | indirecta |
| PyPI | litlogger | — | indirecta |
| PyPI | litserve | — | indirecta |
| PyPI | lm-eval | — | indirecta |
| PyPI | pandas | — | indirecta |
| PyPI | protobuf | — | indirecta |
| PyPI | pyarrow | — | indirecta |
| PyPI | pytest | — | indirecta |
| PyPI | pytest-benchmark | — | indirecta |
| PyPI | pytest-dependency | — | indirecta |
| PyPI | pytest-rerunfailures | — | indirecta |
| PyPI | pytest-timeout | — | indirecta |
| PyPI | requests | — | indirecta |
| PyPI | sentencepiece | — | indirecta |
| PyPI | setuptools | — | indirecta |
| PyPI | tensorboard | — | indirecta |
| PyPI | torchmetrics | — | indirecta |
| PyPI | transformers | — | indirecta |
| PyPI | uvloop | — | indirecta |
| PyPI | wheel | — | indirecta |
| PyPI | zstandard | — | indirecta |
Avisos de dependencias 0
Instalar pypi:litgpt@0.5.13 arrastra 43 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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}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.