Registro público
Informe de salud del softwareesquema 0.12.0 · métricas 1.13.0 · 2026-07-18 06:58 UTC

quarto-dev / quarto-cli

Open-source scientific and technical publishing system built on Pandoc.

JavaScript · TypeScript · LuaLicencia propia★ 5845 estrellas⑂ 448 forksdesde sept 2020Ver en GitHub ↗

quarto-dev/quarto-cli tiene un índice de salud de 75 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Vitality (96/100) y la más baja, Security (34/100). Se actualizó por última vez hoy. 2 personas concentran la mayor parte del trabajo reciente.

75
global / 100
Bueno

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.

75
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

QuartoOrganización
1283 seguidores43 repositorios públicosdesde jun 2020

Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.

Ecosistemas de paquetes

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicación
PyPIquarto_cli1.9.3854.48732hace 53 días

Métricas por categoría

Vitalidad

¿Está vivo el proyecto: se escribe código y se publican versiones?

96Excelente · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
36/36Cadencia de commits — 52/52 semanas con commits
18/18Volumen de commits — 1112 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 28 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year1112
human_commit_share
days_since_last_push0
active_weeks_last_year52
Cómo se puntúa
27/27Publica versiones — 100 versiones publicadas
36/36Recencia de las versiones — última versión hace 4 días
27/27Cadencia de publicación — una versión cada ~5 días
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Datos de entrada utilizados
releases_count100
latest_release_tagv1.10.15
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases5

Comunidad y Adopción

¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?

86Excelente · 18% del índice global
Cómo se puntúa
60/60Estrellas — 5845 estrellas
22.1/25Forks — 448 forks
8.1/15Observadores — 30 observadores
Datos de entrada utilizados
forks448
stars5845
watchers30
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
18/18Guía CONTRIBUTING
13.5/13.5Código de conducta
0/7.2Plantilla de issues
6.3/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributing
has_issue_templateno
has_code_of_conduct
has_pull_request_template
Cómo se puntúa
63.2/80Descargas mensuales — 54.487 descargas/mes en pypi
0/20Dependientes en el registro — no lo informa este ecosistema
Datos de entrada utilizados
packagesquarto_cli
dependents
ecosystemspypi
total_downloads
monthly_downloads54.487
Excluidos de la puntuación (sin datos o no aplicable): Dependientes en el registro. Los pesos restantes se han renormalizado.

Sostenibilidad y Gobernanza

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

76Bueno · 24% del índice global
Cómo se puntúa
25.2/54Factor bus — la mitad de los commits recae en 2 contribuyente(s)
15.5/22.5Distribución de commits — el principal contribuyente firma el 31% de los commits
13.5/13.5Amplitud de contribuyentes — 100 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 63 contributing companies or organizations
Datos de entrada utilizados
bus_factor2
contributors_sampled100
top_contributor_share0,311
Cómo se puntúa
33.8/46.8Resolución de issues — 72% de issues cerradas
34.7/38.3Aceptación de PR — 2341/2577 PR decididos fusionados
3/15OpenSSF Scorecard: Code-Review — Found 5/25 approved changesets -- score normalized to 2
Datos de entrada utilizados
merged_prs2341
open_issues1761
closed_issues4619
issue_closed_ratio0,724
closed_unmerged_prs236
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
22.3/25Alcance del propietario — 1283 seguidores de quarto-dev
24/25Trayectoria — 43 repos públicos, cuenta de ~6 años
Datos de entrada utilizados
followers1283
owner_typeOrganization
is_verified
owner_loginquarto-dev
public_repos43
account_age_days2213
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 53 días
20/20Historial de versiones — 32 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesquarto_cli
ecosystemspypi
any_deprecatedno
min_days_since_publish53

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 — 19 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter — .ruff.toml, eslint.config.js
0/9.6Hooks de pre-commit
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 23 out of 23 merged PRs checked by a CI test -- score normalized to 10
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_config
has_precommit_configno

Documentación

55Moderado
Cómo se puntúa
30/30README
0/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://quarto.org
10/10Descripción del repositorio
0/10Topics
0/10Wiki
Datos de entrada utilizados
topics
has_wikino
homepagehttps://quarto.org
has_readme
has_docs_dirno
has_description

Seguridad

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

34En riesgo · 16% del índice global
Cómo se puntúa
5.2/7.5Binary-Artifacts — binaries present in source code
0/7.5Branch-Protection — sin datos
2.5/2.5CI-Tests — 23 out of 23 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-Review — Found 5/25 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 63 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5Licencia — license file detected
7.5/7.5Maintained — 30 commit(s) and 28 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — sin datos
0.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 146 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate3,5
Excluidos de la puntuación (sin datos o no aplicable): branch_protection, packaging. 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.

67Moderado · 0% del índice global
Cómo se puntúa
45/45Instrucciones para agentes — .claude/CLAUDE.md, src/resources/extension-subtrees/julia-engine/AGENTS.md, src/resources/extension-subtrees/julia-engine/CLAUDE.md, tests/docs/project/ai-config-files/AGENTS.md, tests/docs/project/ai-config-files/CLAUDE.md
0/15Documentación legible por máquinas (llms.txt)
0/40Historial de commits legible — sin datos
Datos de entrada utilizados
has_llms_txtno
legible_history_share
agent_instruction_files.claude/CLAUDE.md, src/resources/extension-subtrees/julia-engine/AGENTS.md, src/resources/extension-subtrees/julia-engine/CLAUDE.md, tests/docs/project/ai-config-files/AGENTS.md, tests/docs/project/ai-config-files/CLAUDE.md
agent_instruction_max_bytes6340
Excluidos de la puntuación (sin datos o no aplicable): Historial de commits legible. Los pesos restantes se han renormalizado.
Cómo se puntúa
0/18Arranque con un solo comando
22/22Pruebas automatizadas
11/11Configuración de lint / formato — .ruff.toml, eslint.config.js
11/11Verificación estática de tipos — packages/quarto-types/tsconfig.json, src/webui/quarto-preview/tsconfig.json
10/10Entorno reproducible — lockfile
0/10Práctica demostrada con agentes — sin datos
0/8Mantenimiento automatizado — sin datos
1/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
Datos de entrada utilizados
has_nixno
has_tests
lockfilesCargo.lock, package-lock.json, uv.lock
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_config
typecheck_configspackages/quarto-types/tsconfig.json, src/webui/quarto-preview/tsconfig.json
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Excluidos de la puntuación (sin datos o no aplicable): Práctica demostrada con agentes, Mantenimiento automatizado. Los pesos restantes se han renormalizado.
Cómo se puntúa
27/45Código verificable por tipos — JavaScript con configuración de verificación de tipos (packages/quarto-types/tsconfig.json, src/webui/quarto-preview/tsconfig.json)
53.6/55Tamaños de archivo manejables — 34/1364 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languageJavaScript
largest_source_bytes6.470.044
source_files_sampled1364
oversized_source_files34
Cómo se puntúa
0/40Esquema de API (OpenAPI/GraphQL/proto)
0/20Servidor MCP
40/40Ejemplos ejecutables — notebooks
Datos de entrada utilizados
example_dirsnotebooks
has_mcp_signalno
api_schema_files

Datos clave

5845estrellas de GitHub
100contribuidores
1112commits en los últimos 12 meses
0días desde el último push
100versiones publicadas
2factor bus
1761issues abiertas
PyPIecosistemas de paquetes

Advertencias de recopilación de datos

  • Could not fetch pypi package 'tests' from its registry
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Más detalle

OpenSSF Scorecard 3.5 / 10
3.5agregado

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).Scorecard v5.5.0 · 2026-07-18 06:57 UTC

7Binary-Artifactsbinaries present in source code
n/dBranch-Protectioninternal 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
10CI-Tests23 out of 23 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 5/25 approved changesets -- score normalized to 2
10Contributorsproject has 63 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 28 issue activity found in the last 90 days -- score normalized to 10
n/dPackagingpackaging workflow not detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities146 existing vulnerabilities detected
Dependencias directas 15
RegistroPaqueteRestricción de versiónManifiesto
PyPIbokeh-sampledata>=2024.2tests/pyproject.toml
PyPIbokeh>=3.6.0tests/pyproject.toml
PyPIipyleaflet>=0.19.2tests/pyproject.toml
PyPIitables>=2.2.3tests/pyproject.toml
PyPIjupyter-cache>=1.0.0tests/pyproject.toml
PyPIjupyter>=1.1.1tests/pyproject.toml
PyPImatplotlib>=3.9.2tests/pyproject.toml
PyPIpandas>=2.2.3tests/pyproject.toml
PyPIpapermill>=2.6.0tests/pyproject.toml
PyPIseaborn>=0.13.2tests/pyproject.toml
PyPIshiny>=1.2.0tests/pyproject.toml
PyPIgreat-tables>=0.17.0tests/pyproject.toml
PyPIpolars>=1.29.0tests/pyproject.toml
PyPIpyarrow>=20.0.0tests/pyproject.toml
PyPIplotly>=6.1.1tests/pyproject.toml
Todas las dependencias no recopilado

No fue posible recopilar el conjunto de dependencias resuelto para este informe: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Informe JSON sin procesar legible por máquina
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  "license_spdx": null
}

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 v0.12.0 — metodología completa · wiki de métricas.

Cómo se sitúa un resultado dentro del registro general: estadísticas agregadasPyPI.