Registro público
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-26 22:58 UTC

JuliaML / LossFunctions.jl

Julia package of loss functions for machine learning.

JuliaLicencia propia★ 153 estrellas⑂ 35 forksdesde oct 2015Ver en GitHub ↗

JuliaML/LossFunctions.jl tiene un índice de salud de 63 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Vitality (73/100) y la más baja, AI Readiness (20/100). Se actualizó por última vez hace 27 días. 2 personas concentran la mayor parte del trabajo reciente.

63
global / 100
Moderado

Índice 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.

63
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)
VitalidadComunidad yAdopciónSostenibilidady GobernanzaCalidad deIngenieríaSeguridadPreparaciónpara IA

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

JuliaMLOrganización
131 seguidores40 repositorios públicosdesde nov 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?

73Bueno · 22% del índice global
Cómo se puntúa
28.8/36Recencia de push — último push hace 27 días
9.7/36Cadencia de commits — 14/52 semanas con commits
12.9/18Volumen de commits — 26 commits en el último año
9/10OpenSSF Scorecard: Maintained — 10 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 9
Datos de entrada utilizados
commits_last_year26
human_commit_share0,78
days_since_last_push27
active_weeks_last_year14
Cómo se puntúa
27/27Publica versiones — 30 versiones publicadas
36/36Recencia de las versiones — última versión hace 33 días
19.8/27Cadencia de publicación — una versión cada ~114,9 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count30
latest_release_tagv1.2.2
releases_from_tagsno
days_since_latest_release33
mean_days_between_releases114,9
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?

48En riesgo · 18% del índice global
Cómo se puntúa
35.4/60Estrellas — 153 estrellas
12.8/25Forks — 35 forks
4.3/15Observadores — 7 observadores
Datos de entrada utilizados
forks35
stars153
watchers7
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
16.9/22.5Licencia — archivo de licencia presente, no es una licencia reconocida
0/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
0/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno

Sostenibilidad y Gobernanza

¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?

69Moderado · 24% del índice global
Cómo se puntúa
25.2/54Factor bus — la mitad de los commits recae en 2 contribuyente(s)
11.3/22.5Distribución de commits — el principal contribuyente firma el 50% de los commits
13.5/13.5Amplitud de contribuyentes — 20 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 22 contributing companies or organizations
Datos de entrada utilizados
bus_factor2
contributors_sampled20
top_contributor_share0,496
Cómo se puntúa
46.2/46.8Resolución de issues — 99% de issues cerradas
34.4/38.3Aceptación de PR — 98/109 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — Found 1/17 approved changesets -- score normalized to 0
Datos de entrada utilizados
merged_prs98
open_issues1
closed_issues90
issue_closed_ratio0,989
closed_unmerged_prs11
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
15.2/25Alcance del propietario — 131 seguidores de JuliaML
23.7/25Trayectoria — 40 repos públicos, cuenta de ~10 años
Datos de entrada utilizados
followers131
owner_typeOrganization
is_verified
owner_loginJuliaML
public_repos40
account_age_days3910

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

72Bueno · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 4 flujo(s) de trabajo
24/24Pruebas presentes
0/16Configuración de linter
0/9.6Hooks de pre-commit
0/6.4.editorconfig
6/20OpenSSF Scorecard: CI-Tests — 5 out of 16 merged PRs checked by a CI test -- score normalized to 3
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentación

100Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://juliaml.github.io/LossFunctions.jl/stable
10/10Descripción del repositorio
10/10Topics — 5 topics
10/10Wiki
Datos de entrada utilizados
topicsmachine-learning, loss-functions, classification, regression, julia
has_wiki
homepagehttps://juliaml.github.io/LossFunctions.jl/stable
has_readme
has_docs_dir
has_description

Seguridad

¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?

48En riesgo · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0.8/2.5CI-Tests — 5 out of 16 merged PRs checked by a CI test -- score normalized to 3
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/17 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 22 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5Licencia — license file detected
6.8/7.5Maintained — 10 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 9
0/5Packaging — sin datos
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — sin datos
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4,8
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.

20Crítico · 0% del índice global
Cómo se puntúa
0/45Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor
0/15Documentación legible por máquinas (llms.txt)
15/40Historial de commits legible — 22 de 78 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txtno
legible_history_share0,282
agent_instruction_files
agent_instruction_max_bytes
Cómo se puntúa
0/18Arranque con un solo comando
22/22Pruebas automatizadas
0/11Configuración de lint / formato
0/11Verificación estática de tipos
0/10Entorno reproducible
0/10Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 100
8/8Mantenimiento automatizado — 20 de los últimos 100 commits son actualizaciones automáticas de dependencias
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Datos de entrada utilizados
has_nixno
has_tests
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0,2
Cómo se puntúa
0/45Código verificable por tipos — Julia sin configuración de verificación de tipos
0/55Tamaños de archivo manejables — no se detectaron archivos fuente
Datos de entrada utilizados
primary_languageJulia
largest_source_bytes
source_files_sampled0
oversized_source_files0
Excluidos de la puntuación (sin datos o no aplicable): Tamaños de archivo manejables. Los pesos restantes se han renormalizado.

Datos clave

153estrellas de GitHub
20contribuidores
26commits en los últimos 12 meses
27días desde el último push
30versiones publicadas
2factor bus
1issues abiertas
ecosistemas 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 ★ / 35 ⇿
0Estrellas
35Forks
28Versiones

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.

01325383522015-112021-022026-05
Mayor 1Menor 13Parche 14

Cada punto abarca 10 días.

OpenSSF Scorecard 4.8 / 10
4.8agregado

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).Scorecard v5.5.0 · 2026-07-26 22:57 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
3CI-Tests5 out of 16 merged PRs checked by a CI test -- score normalized to 3
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/17 approved changesets -- score normalized to 0
10Contributorsproject has 22 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
9Maintained10 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 9
n/dPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 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.

RegistroPaqueteVersiónRelación
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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          "headline": "Bump peter-evans/create-pull-request from 7 to 8 (#190)",
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          "is_bot": true,
          "headline": "Bump codecov/codecov-action from 3 to 4 (#177)",
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          "headline": "Bump actions/checkout from 3 to 4",
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  "warnings": [
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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.