Registro públicoModerado
Informe de salud del softwareesquema 0.26.0 · métricas 1.13.0 · 2026-07-22 02:47 UTC
JuliaGraphs / GraphNeuralNetworks.jl
Graph Neural Networks in Julia
JuliaGraphs/GraphNeuralNetworks.jl tiene un índice de salud de 67 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Vitality (81/100) y la más baja, AI Readiness (29/100). Se actualizó por última vez hace 1 día. Una sola persona concentra la mayor parte del trabajo reciente.
67
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.
67
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
JuliaGraphsOrganización
172 seguidores44 repositorios públicosdesde ene 2015
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?
81
Actividad de desarrollo
74Bueno
Cómo se puntúa
| 36/36 | Recencia de push — último push hace 1 días |
| 13.2/36 | Cadencia de commits — 19/52 semanas con commits |
| 15.1/18 | Volumen de commits — 47 commits en el último año |
| 10/10 | OpenSSF Scorecard: Maintained — 14 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
Datos de entrada utilizados
| commits_last_year | 47 |
| human_commit_share | 0,9 |
| days_since_last_push | 1 |
| active_weeks_last_year | 19 |
Disciplina de publicación
92Excelente
Cómo se puntúa
| 27/27 | Publica versiones — 73 versiones publicadas |
| 36/36 | Recencia de las versiones — última versión hace 83 días |
| 19.8/27 | Cadencia de publicación — una versión cada ~54,9 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 73 |
| latest_release_tag | GNNlib-v1.2.1 |
| releases_from_tags | no |
| days_since_latest_release | 83 |
| mean_days_between_releases | 54,9 |
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: Signed-Releases. Los pesos restantes se han renormalizado.
Comunidad y Adopción
¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?
55
Popularidad y adopción
60Moderado
Cómo se puntúa
| 40.3/60 | Estrellas — 305 estrellas |
| 15.4/25 | Forks — 71 forks |
| 4.3/15 | Observadores — 7 observadores |
Datos de entrada utilizados
| forks | 71 |
| stars | 305 |
| watchers | 7 |
| growth_state | organic |
| growth_factor_pct | 100 |
Salud de la comunidad
50Moderado
Cómo se puntúa
| 22.5/22.5 | README |
| 22.5/22.5 | Licencia — licencia reconocida (MIT) |
| 0/18 | 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 | no |
| 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?
61
Resiliencia de mantenedores (factor bus)
38En riesgo
Cómo se puntúa
| 9/54 | Factor bus — la mitad de los commits recae en 1 contribuyente(s) |
| 5.9/22.5 | Distribución de commits — el principal contribuyente firma el 74% de los commits |
| 13.5/13.5 | Amplitud de contribuyentes — 33 contribuyentes |
| 10/10 | OpenSSF Scorecard: Contributors — project has 30 contributing companies or organizations |
Datos de entrada utilizados
| bus_factor | 1 |
| contributors_sampled | 33 |
| top_contributor_share | 0,736 |
Cómo se puntúa
| 34.6/46.8 | Resolución de issues — 74% de issues cerradas |
| 33.7/38.3 | Aceptación de PR — 378/429 PR decididos fusionados |
| 10.5/15 | OpenSSF Scorecard: Code-Review — Found 16/22 approved changesets -- score normalized to 7 |
Datos de entrada utilizados
| merged_prs | 378 |
| open_issues | 60 |
| closed_issues | 171 |
| issue_closed_ratio | 0,74 |
| closed_unmerged_prs | 51 |
Propiedad y custodia
70Bueno
Cómo se puntúa
| 30/30 | Respaldo de la propiedad — propiedad de una organización |
| 0/20 | Dominio verificado |
| 16.1/25 | Alcance del propietario — 172 seguidores de JuliaGraphs |
| 24/25 | Trayectoria — 44 repos públicos, cuenta de ~11 años |
Datos de entrada utilizados
| followers | 172 |
| owner_type | Organization |
| is_verified | — |
| owner_login | JuliaGraphs |
| public_repos | 44 |
| account_age_days | 4189 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
80
Prácticas de ingeniería
66Moderado
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 6 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 0/16 | Configuración de linter |
| 0/9.6 | Hooks de pre-commit |
| 0/6.4 | .editorconfig |
| 18/20 | OpenSSF Scorecard: CI-Tests — 23 out of 24 merged PRs checked by a CI test -- score normalized to 9 |
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://juliagraphs.org/GraphNeuralNetworks.jl |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 5 topics |
| 10/10 | Wiki |
Datos de entrada utilizados
| topics | machine-learning, julia, graph-neural-networks, deep-learning, graphs |
| has_wiki | sí |
| homepage | https://juliagraphs.org/GraphNeuralNetworks.jl |
| 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?
57
Postura de seguridad
57Moderado
Cómo se puntúa
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 2.2/2.5 | CI-Tests — 23 out of 24 merged PRs checked by a CI test -- score normalized to 9 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 5.2/7.5 | Code-Review — Found 16/22 approved changesets -- score normalized to 7 |
| 2.5/2.5 | Contributors — project has 30 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 3 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — sin datos |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 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 — sin datos |
| 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 | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 5,7 |
Excluidos de la puntuación (sin datos o no aplicable): packaging, signed_releases. Los pesos restantes se han renormalizado.
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.
29
Contexto y guía para agentes
32En 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) |
| 32/40 | Historial de commits legible — 54 de 90 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | 0,6 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Cómo se puntúa
| 0/18 | Arranque con un solo comando |
| 22/22 | Pruebas automatizadas |
| 0/11 | Configuración de lint / formato |
| 0/11 | Verificación estática de tipos |
| 0/10 | Entorno reproducible |
| 2/10 | Práctica demostrada con agentes — 1 de los últimos 100 commits con autoría o crédito de agente |
| 8/8 | Mantenimiento automatizado — 10 de los últimos 100 commits son actualizaciones automáticas de dependencias |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
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 | no |
| typecheck_configs | — |
| agent_commit_share | 0,01 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0,1 |
Cómo se puntúa
| 0/45 | Código verificable por tipos — Julia sin configuración de verificación de tipos |
| 0/55 | Tamaños de archivo manejables — no se detectaron archivos fuente |
Datos de entrada utilizados
| primary_language | Julia |
| largest_source_bytes | — |
| source_files_sampled | 0 |
| oversized_source_files | 0 |
Excluidos de la puntuación (sin datos o no aplicable): Tamaños de archivo manejables. Los pesos restantes se han renormalizado.
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
305estrellas de GitHub
33contribuidores
47commits en los últimos 12 meses
1días desde el último push
73versiones publicadas
1factor bus
60issues abiertas
—ecosistemas de paquetes
Más detalle
Historial de estrellas y forks 305 ★ / 71 ⇿
305Estrellas
71Forks
73Versiones
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 0Menor 6Parche 48
Cada punto abarca 5 días.
OpenSSF Scorecard 5.7 / 10
5.7agregado
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 |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 9 | CI-Tests | 23 out of 24 merged PRs checked by a CI test -- score normalized to 9 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 7 | Code-Review | Found 16/22 approved changesets -- score normalized to 7 |
| 10 | Contributors | project has 30 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 3 issue activity found in the last 90 days -- score normalized to 10 |
| n/d | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| n/d | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Todas las dependencias 0
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 0 paquetes directos y 0 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|
Avisos de dependencias sin evaluar
El cotejo de avisos no pudo ejecutarse para este informe: No resolved dependencies to assess
Informe JSON sin procesar legible por máquina
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{
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},
{
"key": "high_risk_jurisdiction_exposure",
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"components": [
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{
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],
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],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
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{
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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."
}
],
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},
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"generated_at": "2026-07-22T02:47:20.287411Z",
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"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/j/JuliaGraphs/GraphNeuralNetworks.jl.svg",
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"license_state": "standard",
"license_spdx": "MIT"
}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 v0.26.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas.