Registro públicoModerado
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-23 17:49 UTC
PreferredAI / cornac
A Comparative Framework for Multimodal Recommender Systems
PreferredAI/cornac tiene un índice de salud de 65 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Vitality (78/100) y la más baja, Security (18/100). Se actualizó por última vez hace 5 días. Una sola persona concentra la mayor parte del trabajo reciente.
65
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.
65
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
Preferred.AIOrganización
62 seguidores52 repositorios públicosdesde nov 2017
Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.
Ecosistemas de paquetes
| Registro | Paquete | Versión | Descargas / mes | Versiones | Última publicación | Etiquetas |
|---|---|---|---|---|---|---|
| PyPI | cornac | 2.6.0 | - | 68 | hace 8 días | recommender-systemcollaborative-filteringmultimodalpreference-learningrecommendation |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
78
Actividad de desarrollo
68Moderado
Cómo se puntúa
| 36/36 | Recencia de push — último push hace 5 días |
| 11.1/36 | Cadencia de commits — 16/52 semanas con commits |
| 14.1/18 | Volumen de commits — 36 commits en el último año |
| 0/10 | OpenSSF Scorecard: Maintained — sin datos |
Datos de entrada utilizados
| commits_last_year | 36 |
| human_commit_share | 1 |
| days_since_last_push | 5 |
| active_weeks_last_year | 16 |
Disciplina de publicación
92Excelente
Cómo se puntúa
| 27/27 | Publica versiones — 63 versiones publicadas |
| 36/36 | Recencia de las versiones — última versión hace 8 días |
| 19.8/27 | Cadencia de publicación — una versión cada ~77,7 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 63 |
| latest_release_tag | v2.6.0 |
| releases_from_tags | no |
| days_since_latest_release | 8 |
| mean_days_between_releases | 77,7 |
Comunidad y Adopción
¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?
70
Popularidad y adopción
75Bueno
Cómo se puntúa
| 49/60 | Estrellas — 1052 estrellas |
| 18.6/25 | Forks — 171 forks |
| 7.4/15 | Observadores — 22 observadores |
Datos de entrada utilizados
| forks | 171 |
| stars | 1052 |
| watchers | 22 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Salud de la comunidad
65Moderado
Cómo se puntúa
| 22.5/22.5 | README |
| 22.5/22.5 | Licencia — licencia reconocida (Apache-2.0) |
| 0/18 | Guía CONTRIBUTING |
| 0/13.5 | Código de conducta |
| 7.2/7.2 | Plantilla de issues |
| 6.3/6.3 | Plantilla de PR |
Datos de entrada utilizados
| has_readme | sí |
| has_license | sí |
| has_contributing | no |
| has_issue_template | sí |
| has_code_of_conduct | no |
| 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?
70
Resiliencia de mantenedores (factor bus)
37En riesgo
Cómo se puntúa
| 9/54 | Factor bus — la mitad de los commits recae en 1 contribuyente(s) |
| 10.6/22.5 | Distribución de commits — el principal contribuyente firma el 53% de los commits |
| 13.5/13.5 | Amplitud de contribuyentes — 27 contribuyentes |
| 0/10 | OpenSSF Scorecard: Contributors — sin datos |
Datos de entrada utilizados
| bus_factor | 1 |
| contributors_sampled | 27 |
| top_contributor_share | 0,527 |
Capacidad de respuesta a issues y PR
88Excelente
Cómo se puntúa
| 40/46.8 | Resolución de issues — 86% de issues cerradas |
| 34.8/38.3 | Aceptación de PR — 487/536 PR decididos fusionados |
| 0/15 | OpenSSF Scorecard: Code-Review — sin datos |
Datos de entrada utilizados
| merged_prs | 487 |
| open_issues | 25 |
| closed_issues | 148 |
| issue_closed_ratio | 0,855 |
| closed_unmerged_prs | 49 |
Propiedad y custodia
68Moderado
Cómo se puntúa
| 30/30 | Respaldo de la propiedad — propiedad de una organización |
| 0/20 | Dominio verificado |
| 12.9/25 | Alcance del propietario — 62 seguidores de PreferredAI |
| 24.6/25 | Trayectoria — 52 repos públicos, cuenta de ~8 años |
Datos de entrada utilizados
| followers | 62 |
| owner_type | Organization |
| is_verified | — |
| owner_login | PreferredAI |
| public_repos | 52 |
| account_age_days | 3157 |
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 8 días |
| 20/20 | Historial de versiones — 68 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
Datos de entrada utilizados
| packages | cornac |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 8 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
76
Prácticas de ingeniería
60Moderado
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 5 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 0/16 | Configuración de linter |
| 0/9.6 | Hooks de pre-commit |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — sin datos |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Documentación
100Excelente
Cómo se puntúa
| 30/30 | README |
| 25/25 | Directorio de documentación |
| 15/15 | Sitio de documentación / página del proyecto — https://cornac.preferred.ai |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 8 topics |
| 10/10 | Wiki |
Datos de entrada utilizados
| topics | recommender-system, recommendation-algorithms, recommendation-engine, matrix-factorization, collaborative-filtering, multimodal-learning, recommendation-system, multimodality |
| has_wiki | sí |
| homepage | https://cornac.preferred.ai |
| 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?
18
Postura de seguridad
1Crítico
Cómo se puntúa
| 0/30 | Política de seguridad (SECURITY.md) |
| 0/25 | Configuración de Dependabot |
| 0/25 | Lockfiles de dependencias — biblioteca publicada — los lockfiles son cosa de las aplicaciones, no se esperan aquí |
| 0/20 | Flujo de trabajo de CodeQL |
Datos de entrada utilizados
| source | file_signals |
| lockfiles | — |
| manifests | docs/requirements.txt, pyproject.toml, requirements.txt, setup.cfg, setup.py |
| has_codeql_workflow | no |
| has_security_policy | no |
| has_dependabot_config | no |
Excluidos de la puntuación (sin datos o no aplicable): Lockfiles de dependencias. Los pesos restantes se han renormalizado.
Avisos de dependencias
85Excelente
Cómo se puntúa
| 26.6/35 | Dependencias directas libres de avisos conocidos — 1 afectados: scipy 1.2.1 (unknown) |
| 0/25 | Dependencias indirectas libres de avisos conocidos — el conjunto transitivo no es separable de las dependencias de desarrollo y prueba en este alcance |
| 37.2/40 | Sin avisos pendientes — 1 paquete(s) con avisos sin atender más allá de 90 días; el más antiguo publicado hace 1114 días |
Datos de entrada utilizados
| source | osv |
| advisories | 755 |
| affected_packages | 7 |
| assessed_packages | 12 |
| unassessed_packages | 28 |
| affected_by_severity | critical 3, moderate 1, unknown 3 |
| 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 12 dependencias resueltas con OSV. 28 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.
50
Contexto y guía para agentes
38En 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) |
| 37.9/40 | Historial de commits legible — 71 de 100 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | 0,71 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Cómo se puntúa
| 18/18 | Arranque con un solo comando — docs/Makefile |
| 22/22 | Pruebas automatizadas |
| 0/11 | Configuración de lint / formato |
| 0/11 | Verificación estática de tipos |
| 10/10 | Entorno reproducible — Dockerfile |
| 4/10 | Práctica demostrada con agentes — 2 de los últimos 100 commits con autoría o crédito de agente |
| 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 | docs/Makefile |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | — |
| agent_commit_share | 0,02 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Legibilidad del código para modelos
54Moderado
Cómo se puntúa
| 0/45 | Código verificable por tipos — Python sin configuración de verificación de tipos |
| 54.3/55 | Tamaños de archivo manejables — 44/3562 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 1.058.368 |
| source_files_sampled | 3562 |
| oversized_source_files | 44 |
Interfaces legibles por máquina
40En riesgo
Cómo se puntúa
| 0/40 | Esquema de API (OpenAPI/GraphQL/proto) |
| 0/20 | Servidor MCP |
| 40/40 | Ejemplos ejecutables — examples, notebooks |
Datos de entrada utilizados
| example_dirs | examples, notebooks |
| has_mcp_signal | no |
| api_schema_files | — |
Datos clave
1052estrellas de GitHub
27contribuidores
36commits en los últimos 12 meses
5días desde el último push
63versiones publicadas
1factor bus
25issues 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 'cornac.models.c2pf.c2pf' from its registry
- deps.dev does not index pypi:cornac@2.6.0; advisories assessed against the repository dependency graph instead
- Advisory severity resolved for 120 of 752 advisories (lookup cap); the remainder are reported as unknown severity
- OpenSSF Scorecard did not return a usable result (2026/07/23 17:48:33 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 ★ / 171 ⇿
0Estrellas
171Forks
62Versiones
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 2Menor 25Parche 34
Cada punto abarca 8 días.
Dependencias directas 4
| Registro | Paquete | Restricción de versión | Manifiesto |
|---|---|---|---|
| PyPI | numpy | >2.0.0 | pyproject.toml |
| PyPI | scipy | — | pyproject.toml |
| PyPI | tqdm | — | pyproject.toml |
| PyPI | powerlaw | — | pyproject.toml |
Todas las dependencias 40
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 5 paquetes directos y 35 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|---|---|---|
| PyPI | numpy | — | directa |
| PyPI | powerlaw | — | directa |
| PyPI | scipy | — | directa |
| PyPI | scipy | 1.2.1 | directa |
| PyPI | tqdm | — | directa |
| PyPI | cython | — | indirecta |
| PyPI | dcor | — | indirecta |
| PyPI | dgl | — | indirecta |
| PyPI | dgl | 1.1.0 | indirecta |
| PyPI | dgl | 2.4.0 | indirecta |
| PyPI | dgl | 2.4.0+cu118 | indirecta |
| PyPI | filelock | 3.8.2 | indirecta |
| PyPI | flask | — | indirecta |
| PyPI | huggingface-hub | — | indirecta |
| PyPI | myst-parser | — | indirecta |
| PyPI | nltk | — | indirecta |
| PyPI | pandas | — | indirecta |
| PyPI | pandas | 2.2.3 | indirecta |
| PyPI | pydata-sphinx-theme | — | indirecta |
| PyPI | pytest | — | indirecta |
| PyPI | pytest-cov | — | indirecta |
| PyPI | pytest-xdist | — | indirecta |
| PyPI | requests | — | indirecta |
| PyPI | sansa | — | indirecta |
| PyPI | scikit-learn | — | indirecta |
| PyPI | sentence-transformers | — | indirecta |
| PyPI | sentence-transformers | 2.2.2 | indirecta |
| PyPI | setuptools | — | indirecta |
| PyPI | similaripy | 0.1.3 | indirecta |
| PyPI | sphinx-copybutton | — | indirecta |
| PyPI | sphinx-design | — | indirecta |
| PyPI | tensorflow | — | indirecta |
| PyPI | tensorflow | 1.15.4 | indirecta |
| PyPI | tensorflow | 2.12.0 | indirecta |
| PyPI | tensorflow | 2.21.0 | indirecta |
| PyPI | torch | — | indirecta |
| PyPI | torch | 2.0.0 | indirecta |
| PyPI | torch | 2.3.* | indirecta |
| PyPI | torchvision | — | indirecta |
| PyPI | transformers | — | indirecta |
Avisos de dependencias 7
Este repositorio no publica ningún paquete que el índice resuelva, así que se evaluó su propio grafo de dependencias — 12 paquetes, que incluyen también fijaciones de desarrollo y prueba que nunca se distribuyen: 7 tienen avisos conocidos, de los cuales 1 son directas. 28 no pudieron evaluarse: sin versión resuelta, ecosistema no admitido, o fuera de la lista de paquetes informada.
| Paquete | Versión | Relación | Gravedad | Avisos | Corregido en |
|---|---|---|---|---|---|
| dgl | 1.1.0 | indirecta | crítica | 1 | — |
| dgl | 2.4.0 | indirecta | crítica | 1 | — |
| tensorflow | 1.15.4 | indirecta | crítica | 717 | 2.11.1 |
| filelock | 3.8.2 | indirecta | moderada | 4 | 3.20.3 |
| scipy | 1.2.1 | directa | desconocida | 2 | 1.10.0 |
| tensorflow | 2.12.0 | indirecta | desconocida | 2 | — |
| torch | 2.0.0 | indirecta | desconocida | 28 | — |
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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"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": [
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"deps.dev does not index pypi:cornac@2.6.0; advisories assessed against the repository dependency graph instead",
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],
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"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/PreferredAI/cornac.svg",
"full_name": "PreferredAI/cornac",
"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.