Registro público
Informe de salud del softwareesquema 0.11.0 · métricas 1.13.0 · 2026-07-15 12:15 UTC

Ruibin-Liu / pdbx2df

Super lightweight and fast mmCIF/PDB/MOL2 file parser into Pandas DataFrames and backwards writer.

PythonMIT★ 11 estrellas⑂ 2 forksdesde ene 2023Ver en GitHub ↗

Ruibin-Liu/pdbx2df tiene un índice de salud de 45 sobre 100, lo que lo sitúa en la banda En riesgo. Su puntuación más alta es Engineering Quality (95/100) y la más baja, Security (1/100). Se actualizó por última vez hace 99 días. Una sola persona concentra la mayor parte del trabajo reciente.

45
global / 100
En riesgo

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.

45
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

Ruibin LiuCuenta personal
37 seguidores50 repositorios públicosdesde abr 2014University of Maryland School of Pharmacy

Este repositorio pertenece a una cuenta personal. Un proyecto con un único propietario conlleva más riesgo de continuidad que uno respaldado por una organización.

Métricas por categoría

Vitalidad

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

31En riesgo · 22% del índice global
Cómo se puntúa
9.9/36Recencia de push — último push hace 99 días
0/36Cadencia de commits — 0/52 semanas con commits
0/18Volumen de commits — 0 commits en el último año
0/10OpenSSF Scorecard: Maintained — sin datos
Datos de entrada utilizados
commits_last_year0
human_commit_share
days_since_last_push99
active_weeks_last_year0
Cómo se puntúa
27/27Publica versiones — 30 versiones publicadas
0/36Recencia de las versiones — última versión hace 1009 días
27/27Cadencia de publicación — una versión cada ~2,9 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count30
latest_release_tagv0.7.5
releases_from_tagsno
days_since_latest_release1009
mean_days_between_releases2,9

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
16.2/60Estrellas — 11 estrellas
0/25Forks — 2 forks
0/15Observadores — 2 observadores
Datos de entrada utilizados
forks2
stars11
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (MIT)
18/18Guía CONTRIBUTING
13.5/13.5Código de conducta
0/7.2Plantilla de issues
0/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributing
has_issue_templateno
has_code_of_conduct
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?

44En riesgo · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
1.6/22.5Distribución de commits — el principal contribuyente firma el 93% de los commits
5.4/13.5Amplitud de contribuyentes — 4 contribuyentes
0/10OpenSSF Scorecard: Contributors — sin datos
Datos de entrada utilizados
bus_factor1
contributors_sampled4
top_contributor_share0,928
Cómo se puntúa
15.6/46.8Resolución de issues — 33% de issues cerradas
36.9/38.3Aceptación de PR — 28/29 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — sin datos
Datos de entrada utilizados
merged_prs28
open_issues6
closed_issues3
issue_closed_ratio0,333
closed_unmerged_prs1
Cómo se puntúa
10/30Respaldo de la propiedad — cuenta personal (usuario)
0/20Dominio verificado — no aplicable a cuentas de usuario
11.4/25Alcance del propietario — 37 seguidores de Ruibin-Liu
24.4/25Trayectoria — 50 repos públicos, cuenta de ~12 años
Datos de entrada utilizados
followers37
owner_typeUser
is_verified
owner_loginRuibin-Liu
public_repos50
account_age_days4464
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?

95Excelente · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 2 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter — tox.ini
9.6/9.6Hooks de pre-commit
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — sin datos
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_config
has_precommit_config

Documentación

100Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://moldf.readthedocs.io/en/latest/
10/10Descripción del repositorio
10/10Topics — 7 topics
10/10Wiki
Datos de entrada utilizados
topicsbioinformatics, pandas, pdb-parser, mmcif, mol2, python, atomselection
has_wiki
homepagehttps://moldf.readthedocs.io/en/latest/
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?

1Crítico · 16% del índice global
Cómo se puntúa
0/30Política de seguridad (SECURITY.md)
0/25Configuración de Dependabot
0/25Lockfiles de dependencias
0/20Flujo de trabajo de CodeQL
Datos de entrada utilizados
sourcefile_signals
lockfiles
manifestsdocs/requirements.txt, pyproject.toml, requirements.txt, requirements_dev.txt, setup.cfg, setup.py
has_codeql_workflowno
has_security_policyno
has_dependabot_configno

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.

55Moderado · 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)
0/40Historial de commits legible — sin datos
Datos de entrada utilizados
has_llms_txtno
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluidos de la puntuación (sin datos o no aplicable): Historial de commits legible. Los pesos restantes se han renormalizado.
Cómo se puntúa
18/18Arranque con un solo comando — docs/Makefile
22/22Pruebas automatizadas
11/11Configuración de lint / formato — tox.ini
11/11Verificación estática de tipos — moldf/py.typed
0/10Entorno reproducible
0/10Práctica demostrada con agentes — sin datos
0/8Mantenimiento automatizado — sin datos
0/10OpenSSF Scorecard: Pinned-Dependencies — sin datos
Datos de entrada utilizados
has_nixno
has_tests
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_config
typecheck_configsmoldf/py.typed
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 — Python con configuración de verificación de tipos (moldf/py.typed)
53.2/55Tamaños de archivo manejables — 1/30 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes61.107
source_files_sampled30
oversized_source_files1

Datos clave

11estrellas de GitHub
4contribuidores
0commits en los últimos 12 meses
99días desde el último push
30versiones publicadas
1factor bus
6issues abiertas
PyPIecosistemas de paquetes

Advertencias de recopilación de datos

  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

Más detalle

Todas las dependencias 15

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 0 paquetes directos y 15 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
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PyPIpytest-covindirecta
PyPIscipyindirecta
PyPIsphinxindirecta
PyPIsphinx-copybuttonindirecta
PyPItoxindirecta
PyPItyping-extensionsindirecta
Informe JSON sin procesar legible por máquina
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  "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 v0.11.0 — metodología completa · wiki de métricas.

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