xuri/excelize-py tiene un índice de salud de 81 sobre 100, lo que lo sitúa en la banda Excelente. Su puntuación más alta es Vitality (78/100) y la más baja, AI Readiness (42/100). Se actualizó por última vez hace 5 días. Una sola persona concentra la mayor parte del trabajo reciente.
81
global / 100
Excelente
Índice de salud del software
Las métricas se agrupan en categorías ponderadas sobre una escala estandarizada de 1 a 100. El resultado global parte de su media ponderada, calibrada contra la distribución del registro público para que las bandas tengan significado percentil; cuando la evidencia pública activa la Política de Jurisdicciones de Alto Riesgo, la calificación se ajusta y recibe un límite «En riesgo» de 34.
81
Excepcional93-100El nivel más alto del registro (≈ el 5% superior); cumple prácticamente todos los criterios evaluados
Excelente80-92Sólido en todos los frentes; carencias menores
Bueno65-79Saludable; carencias limitadas y manejables
Moderado50-64Aceptable con carencias notables; se recomienda revisión
Débil35-49Debilidades sustanciales en varias áreas
En riesgo20-34Debilidades significativas; su adopción exige cautela
Crítico1-19Problemas 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.
El resultado global ponderado 69 se calibra a 81 en la escala publicada del índice (calibración del registro 2026-08-02).
825 seguidores27 repositorios públicosdesde nov 2012
Este repositorio pertenece a una cuenta personal. Un proyecto con un único propietario conlleva más riesgo de continuidad que uno respaldado por una organización.
Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido
0/25
Dependencias indirectas libres de avisos conocidos — el conjunto transitivo no es separable de las dependencias de desarrollo y prueba en este alcance
0/40
Sin avisos pendientes — ningún aviso tiene fecha de publicación
Datos de entrada utilizados
source
osv
advisories
1
affected_packages
1
assessed_packages
10
unassessed_packages
0
affected_by_severity
unknown 1
direct_affected_packages
0
Excluidos de la puntuación (sin datos o no aplicable): Dependencias indirectas libres de avisos conocidos, Sin avisos pendientes. Los pesos restantes se han renormalizado. Se cotejaron 10 dependencias resueltas con OSV. Este repositorio no publica ningún paquete que el índice resuelva, por lo que se evaluó en su lugar el grafo de dependencias del repositorio. Ese grafo mezcla fijaciones de desarrollo y prueba con las dependencias distribuidas, de modo que solo se puntúan las dependencias declaradas en tiempo de ejecución; los hallazgos transitivos se informan como contexto y quedan excluidos de la puntuación. No se analiza la alcanzabilidad.
¿Hasta qué punto está el repositorio preparado para desarrollarse y mantenerse con agentes de codificación de IA? Tiene un peso deliberadamente pequeño (4%): las herramientas para agentes son una señal real de mantenimiento, pero un repositorio sin ninguna puede alcanzar igualmente 100/100.
Código verificable por tipos — Python sin configuración de verificación de tipos
31.4/55
Tamaños de archivo manejables — 3/7 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_language
Python
largest_source_bytes
275.336
source_files_sampled
7
oversized_source_files
3
Datos clave
49estrellas de GitHub
27contribuidores
36commits en los últimos 12 meses
5días desde el último push
8versiones publicadas
1factor bus
3issues abiertas
Go, PyPIecosistemas 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 ★ / 27 ⇿
0Estrellas
27Forks
6Versiones
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 0Parche 6
Cada punto abarca 2 días.
OpenSSF Scorecard 6.3 / 10
6.3agregado
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 · 2026-08-01 16:07 UTC
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 2 paquetes directos y 8 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
Registro
Paquete
Versión
Relación
Go
github.com/xuri/excelize/v2
v2.11.0
directa
Go
golang.org/x/image
v0.44.0
directa
Go
github.com/richardlehane/mscfb
v1.0.7
indirecta
Go
github.com/richardlehane/msoleps
v1.0.6
indirecta
Go
github.com/tiendc/go-deepcopy
v1.7.2
indirecta
Go
github.com/xuri/efp
v0.0.1
indirecta
Go
github.com/xuri/nfp
v0.0.2-0.20250530014748-2ddeb826f9a9
indirecta
Go
golang.org/x/crypto
v0.54.0
indirecta
Go
golang.org/x/net
v0.57.0
indirecta
Go
golang.org/x/text
v0.40.0
indirecta
Avisos de dependencias 1
Este repositorio no publica ningún paquete que el índice resuelva, así que se evaluó su propio grafo de dependencias — 10 paquetes, que incluyen también fijaciones de desarrollo y prueba que nunca se distribuyen: 1 tienen avisos conocidos, de los cuales 0 son directas.
Paquete
Versión
Relación
Gravedad
Avisos
Corregido en
golang.org/x/crypto
v0.54.0
indirecta
desconocida
1
—
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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"author_name": "xuri",
"author_login": "xuri",
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{
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"body": "- Update unit tests",
"is_bot": false,
"headline": "Add new functions: join_cell_name and split_cell_name",
"author_name": "xuri",
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"is_bot": false,
"headline": "This closes #33 and #38, upgrade version to v0.0.8",
"author_name": "xuri",
"author_login": "xuri",
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"body_truncated": false,
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},
{
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"body": "- Upgrade GitHub Action tool chains version",
"is_bot": false,
"headline": "This closes #37, bump v0.0.7",
"author_name": "xuri",
"author_login": "xuri",
"committed_at": "2025-12-03T01:20:46Z",
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"body": "- Upgrade the dependencies package version\n- Support set the data point color for doughnut, pie and 3D pie chart\n- Add new ChartDataPoint data type\n- Add new field DataPoint in the ChartSeries data type\n- Automating dependabot tasks with GitHub Actions\n- Upgrade GitHub Action tool chains version",
"is_bot": false,
"headline": "This closes #34 and closes #35, add new function: get_merge_cells (#36)",
"author_name": "Tobias",
"author_login": "tostenzel",
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},
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"is_bot": false,
"headline": "This closes #32, support x86_64 Python build on ARM64 Windows",
"author_name": "xuri",
"author_login": "xuri",
"committed_at": "2025-10-30T11:48:57Z",
"body_truncated": false,
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},
{
"oid": "712e1bb26bbfb3b452b8469ae17340629a3160b5",
"body": "- Upgrade the dependencies package version\n- Upgrade GitHub Action tool chains version\n- New logo for excelize-py",
"is_bot": false,
"headline": "Bump v0.0.5",
"author_name": "xuri",
"author_login": "xuri",
"committed_at": "2025-10-16T00:26:48Z",
"body_truncated": false,
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},
{
"oid": "bb02bb2001cec3fafdd123a7562dc45ed7fbec4a",
"body": "Co-authored-by: oliver <yx1569@york.ac.uk>",
"is_bot": false,
"headline": "Add new function: set_app_props (#30)",
"author_name": "OliverX",
"author_login": "YafeiXie1",
"committed_at": "2025-10-04T03:23:13Z",
"body_truncated": false,
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},
{
"oid": "e62db79f04e54efddaa5ac0e016cd66ebe19dce2",
"body": null,
"is_bot": false,
"headline": "Add new function: get_defined_name (#29)",
"author_name": "Tseluyko Alexander",
"author_login": "Siyet",
"committed_at": "2025-09-27T03:10:11Z",
"body_truncated": false,
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},
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"components": [
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{
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{
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"points": 10,
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{
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{
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"points": 0,
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{
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"points": 2.5,
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},
{
"key": "cii_best_practices",
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"points": 0,
"status": "missed",
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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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}
],
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{
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"points": 0,
"status": "excluded",
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]
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"inputs": {
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},
{
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"notes": [
{
"code": "jurisdiction_evidence_limits",
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}
],
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"inputs": {
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"components": [
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"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
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"code": "jurisdiction_no_match",
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}
],
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]
}
],
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{
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"weight": 0.04,
"metrics": [
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"inputs": {
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"components": [
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{
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{
"key": "legible_commit_history",
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"points": 35.9,
"status": "partial",
"details": [
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"code": "legible_history",
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]
},
{
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{
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{
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{
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{
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{
"key": "demonstrated_agent_practice",
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"points": 0,
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{
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"points": 5,
"status": "partial",
"details": [
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{
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"points": 0,
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{
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"inputs": {
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"components": [
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{
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"description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
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{
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{
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"warnings": [
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}
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Los datos ausentes se excluyen y los pesos se renormalizan; nunca se puntúan como cero. La metodología es versionada y abierta: métricas v2.5.0, esquema v0.27.0 — metodología completa · wiki de métricas.
