Registro públicoEn riesgo
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-27 08:33 UTC
rmax / databrewer
The missing datasets manager. Like hombrew but for datasets. CLI-tool for search and discover datasets!
rmax/databrewer tiene un índice de salud de 34 sobre 100, lo que lo sitúa en la banda En riesgo. Su puntuación más alta es Engineering Quality (75/100) y la más baja, Security (14/100). Se actualizó por última vez hace 3346 días. Una sola persona concentra la mayor parte del trabajo reciente.
34
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.
34
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.
Abandonment Policy applies a 85% multiplier to weighted overall health.
Titularidad
R Max EspinozaCuenta personal
675 seguidores97 repositorios públicosdesde sept 2008Milence
Este repositorio pertenece a una cuenta personal. Un proyecto con un único propietario conlleva más riesgo de continuidad que uno respaldado por una organización.
Ecosistemas de paquetes
| Registro | Paquete | Versión | Descargas / mes | Versiones | Última publicación | Etiquetas |
|---|---|---|---|---|---|---|
| PyPI | databrewerapunta a otro repositorio; no se puntúa | 0.1.1 | - | 3 | hace 3369 días | databrewer |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
20
Actividad de desarrollo
1Crítico
Alerta de abandono
Ha llegado trabajo y nadie se ha ocupado de él
ningún commit humano en 3369 díascommits automatizados excluidosuna corrección publicada sin aplicarintegración continua averiada
El silencio por sí solo nunca es el hallazgo: una biblioteca pequeña y terminada puede no necesitar commits durante años. Esta alerta exige ambas cosas: mucho tiempo sin un commit humano y obligaciones que el proyecto visiblemente no atiende. Los commits automatizados no cuentan como mantenimiento.
Cómo se evalúa el abandonoCómo se puntúa
| 0/36 | Recencia de push — último push hace 3346 días |
| 0/36 | Cadencia de commits — 0/52 semanas con commits |
| 0/18 | Volumen de commits — 0 commits en el último año |
| 0/10 | OpenSSF Scorecard: Maintained — sin datos |
Datos de entrada utilizados
| commits_last_year | 0 |
| human_commit_share | 1 |
| days_since_last_push | 3346 |
| active_weeks_last_year | 0 |
Disciplina de publicación
48En riesgo
Cómo se puntúa
| 16.2/27 | Publica versiones — 2 etiquetas de versión (sin releases de GitHub) |
| 0/36 | Recencia de las versiones — última versión hace 3369 días |
| 27/27 | Cadencia de publicación — una versión cada ~0 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 2 |
| latest_release_tag | v0.1.1 |
| releases_from_tags | sí |
| days_since_latest_release | 3369 |
| mean_days_between_releases | 0 |
Comunidad y Adopción
¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?
49
Popularidad y adopción
30En riesgo
Cómo se puntúa
| 26/60 | Estrellas — 41 estrellas |
| 4/25 | Forks — 4 forks |
| 0/15 | Observadores — 2 observadores |
Datos de entrada utilizados
| forks | 4 |
| stars | 41 |
| watchers | 2 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Salud de la comunidad
70Bueno
Cómo se puntúa
| 22.5/22.5 | README |
| 22.5/22.5 | Licencia — licencia reconocida (MIT) |
| 18/18 | 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 | sí |
| 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?
39
Cómo se puntúa
| 9/54 | Factor bus — la mitad de los commits recae en 1 contribuyente(s) |
| 0.9/22.5 | Distribución de commits — el principal contribuyente firma el 96% de los commits |
| 2.7/13.5 | Amplitud de contribuyentes — 2 contribuyentes |
| 0/10 | OpenSSF Scorecard: Contributors — sin datos |
Datos de entrada utilizados
| bus_factor | 1 |
| contributors_sampled | 2 |
| top_contributor_share | 0,958 |
Capacidad de respuesta a issues y PR
38En riesgo
Cómo se puntúa
| 13.4/46.8 | Resolución de issues — 29% de issues cerradas |
| 19.1/38.3 | Aceptación de PR — 1/2 PR decididos fusionados |
| 0/15 | OpenSSF Scorecard: Code-Review — sin datos |
Datos de entrada utilizados
| merged_prs | 1 |
| open_issues | 5 |
| closed_issues | 2 |
| issue_closed_ratio | 0,286 |
| closed_unmerged_prs | 1 |
Propiedad y custodia
69Moderado
Cómo se puntúa
| 10/30 | Respaldo de la propiedad — cuenta personal (usuario) |
| 0/20 | Dominio verificado — no aplicable a cuentas de usuario |
| 20.3/25 | Alcance del propietario — 675 seguidores de rmax |
| 25/25 | Trayectoria — 97 repos públicos, cuenta de ~17 años |
Datos de entrada utilizados
| followers | 675 |
| owner_type | User |
| is_verified | — |
| owner_login | rmax |
| public_repos | 97 |
| account_age_days | 6515 |
Excluidos de la puntuación (sin datos o no aplicable): Dominio verificado. Los pesos restantes se han renormalizado.
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
75
Prácticas de ingeniería
58Moderado
Cómo se puntúa
| 0/24 | Flujos de trabajo de CI |
| 24/24 | Pruebas presentes |
| 16/16 | Configuración de linter — tox.ini |
| 0/9.6 | Hooks de pre-commit |
| 6.4/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — sin datos |
Datos de entrada utilizados
| has_ci | no |
| has_tests | sí |
| has_editorconfig | sí |
| has_linter_config | sí |
| 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://databrewer.readthedocs.org/ |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 5 topics |
| 10/10 | Wiki |
Datos de entrada utilizados
| topics | datasets, data, discovery, command-line, python |
| has_wiki | sí |
| homepage | https://databrewer.readthedocs.org/ |
| 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?
14
Postura de seguridad
1Crítico
Cómo se puntúa
| 0/30 | Política de seguridad (SECURITY.md) |
| 0/25 | Configuración de Dependabot |
| 0/25 | Lockfiles de dependencias |
| 0/20 | Flujo de trabajo de CodeQL |
Datos de entrada utilizados
| source | file_signals |
| lockfiles | — |
| manifests | docs/requirements.txt, requirements-dev.txt, requirements-install.txt, requirements-setup.txt, requirements-tests.txt, setup.cfg, setup.py |
| has_codeql_workflow | no |
| has_security_policy | no |
| has_dependabot_config | no |
Avisos de dependencias
64Moderado
Cómo se puntúa
| 6.4/35 | Dependencias directas libres de avisos conocidos — 2 afectados: pyyaml 3.13.0 (critical 9.8), click 6.7.0 (high 7.2) |
| 25/25 | Dependencias indirectas libres de avisos conocidos — ninguna dependencia indirecta tiene un aviso conocido |
| 32.1/40 | Sin avisos pendientes — 1 paquete(s) con avisos sin atender más allá de 90 días; el más antiguo publicado hace 2951 días |
Datos de entrada utilizados
| source | osv |
| advisories | 5 |
| affected_packages | 2 |
| assessed_packages | 17 |
| unassessed_packages | 0 |
| affected_by_severity | critical 1, high 1 |
| direct_affected_packages | 2 |
Se cotejó el cierre de dependencias en tiempo de ejecución de pypi:databrewer@0.1.1 —lo que arrastra la instalación del paquete publicado—: 17 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.
38
Contexto y guía para agentes
4Crítico
Cómo se puntúa
| 0/45 | Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 4.3/40 | Historial de commits legible — 2 de 25 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | 0,08 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Cómo se puntúa
| 18/18 | Arranque con un solo comando — Makefile, docs/Makefile |
| 22/22 | Pruebas automatizadas |
| 11/11 | Configuración de lint / formato — tox.ini |
| 0/11 | Verificación estática de tipos |
| 0/10 | Entorno reproducible |
| 0/10 | Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 25 |
| 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 | no |
| typed_language | no |
| bootstrap_files | Makefile, docs/Makefile |
| has_devcontainer | no |
| has_linter_config | sí |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Legibilidad del código para modelos
55Moderado
Cómo se puntúa
| 0/45 | Código verificable por tipos — Python sin configuración de verificación de tipos |
| 55/55 | Tamaños de archivo manejables — 0/10 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 9493 |
| source_files_sampled | 10 |
| oversized_source_files | 0 |
Datos clave
41estrellas de GitHub
2contribuidores
0commits en los últimos 12 meses
3346días desde el último push
2versiones publicadas
1factor bus
5issues abiertas
PyPIecosistemas de paquetes
Advertencias de recopilación de datos
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- pypi package 'databrewer' points at a different repository (https://github.com/rolando/databrewer); excluded from ecosystem scoring
- OpenSSF Scorecard timed out after 240s; skipping Scorecard checks
Más detalle
Historial de estrellas y forks 0 ★ / 4 ⇿
0Estrellas
4Forks
2Versiones
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 1Parche 1
Cada punto abarca 3 días.
Todas las dependencias 20
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 0 paquetes directos y 20 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|---|---|---|
| PyPI | awesome-slugify | — | indirecta |
| PyPI | bumpversion | — | indirecta |
| PyPI | check-manifest | — | indirecta |
| PyPI | click | — | indirecta |
| PyPI | coverage | — | indirecta |
| PyPI | flake8 | — | indirecta |
| PyPI | jsonschema | — | indirecta |
| PyPI | pip-tools | — | indirecta |
| PyPI | pytest | — | indirecta |
| PyPI | pyyaml | — | indirecta |
| PyPI | requests | — | indirecta |
| PyPI | six | — | indirecta |
| PyPI | sphinx | — | indirecta |
| PyPI | toolz | — | indirecta |
| PyPI | tox | — | indirecta |
| PyPI | tqdm | — | indirecta |
| PyPI | twine | — | indirecta |
| PyPI | watchdog | — | indirecta |
| PyPI | wheel | — | indirecta |
| PyPI | whoosh | — | indirecta |
Avisos de dependencias 2
Instalar pypi:databrewer@0.1.1 arrastra 17 paquetes, directos y transitivos: 2 tienen avisos conocidos, de los cuales 2 son dependencias directas.
| Paquete | Versión | Relación | Gravedad | Avisos | Corregido en |
|---|---|---|---|---|---|
| pyyaml | 3.13.0 | directa | crítica | 4 | 5.4 |
| click | 6.7.0 | directa | alta | 1 | 8.3.3 |
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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}
}
],
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},
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},
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}
],
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{
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"status": "excluded",
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{
"code": "no_data",
"params": {}
}
],
"max_points": 20
}
]
},
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"inputs": {
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{
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{
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}
]
},
{
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"notes": [
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{
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]
},
{
"key": "malicious_dependencies",
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"inputs": {
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}
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],
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},
{
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{
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},
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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."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"pypi package 'databrewer' points at a different repository (https://github.com/rolando/databrewer); excluded from ecosystem scoring",
"OpenSSF Scorecard timed out after 240s; skipping Scorecard checks"
],
"report_type": "repository",
"generated_at": "2026-07-27T08:33:21.043043Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/r/rmax/databrewer.svg",
"full_name": "rmax/databrewer",
"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 v0.27.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — PyPI.