Registro públicoExcelente
Informe de salud del softwareesquema 0.27.0 · métricas 2.3.1 · 2026-08-01 12:48 UTC
vstorm-co / subagents-pydantic-ai
Subagent Delegation framework for Pydantic AI, enabling nested subagents that can spawn their own specialists on-the-fly, with smart sync/async/auto mode selection, runtime agent creation, and clean multi-agent architecture. Adds specialization, parallel execution, and task cancellation.
vstorm-co/subagents-pydantic-ai tiene un índice de salud de 88 sobre 100, lo que lo sitúa en la banda Excelente. Su puntuación más alta es Engineering Quality (96/100) y la más baja, Security (53/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.
88
global / 100Índice 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.
88
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 74 se calibra a 88 en la escala publicada del índice (calibración del registro 2026-08-02).
Titularidad
VstormOrganización
146 seguidores34 repositorios públicosdesde mar 2021
Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.
Ecosistemas de paquetes
| Registro | Paquete | Versión | Descargas / mes | Versiones | Última publicación | Etiquetas |
|---|---|---|---|---|---|---|
| PyPI | subagents-pydantic-ai | 0.2.13 | 229.008 | 24 | hace 0 días | agentsaimulti-agentpydanticpydantic-aisubagentstask-delegationtoolset |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
86
Actividad de desarrollo
77Bueno
Cómo se puntúa
| 36/36 | Recencia de push — último push hace 0 días |
| 13.2/36 | Cadencia de commits — 19/52 semanas con commits |
| 18/18 | Volumen de commits — 135 commits en el último año |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
Datos de entrada utilizados
| commits_last_year | 135 |
| human_commit_share | 0,94 |
| days_since_last_push | 0 |
| active_weeks_last_year | 19 |
Disciplina de publicación
100Excepcional
Cómo se puntúa
| 27/27 | Publica versiones — 24 versiones publicadas |
| 36/36 | Recencia de las versiones — última versión hace 0 días |
| 27/27 | Cadencia de publicación — una versión cada ~7,7 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 24 |
| latest_release_tag | 0.2.13 |
| releases_from_tags | no |
| days_since_latest_release | 0 |
| mean_days_between_releases | 7,7 |
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?
65
Popularidad y adopción
39Débil
Cómo se puntúa
| 28.4/60 | Estrellas — 57 estrellas |
| 10.3/25 | Forks — 18 forks |
| 0/15 | Observadores — 2 observadores |
Datos de entrada utilizados
| forks | 18 |
| stars | 57 |
| watchers | 2 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Salud de la comunidad
77Bueno
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 |
| 6.3/6.3 | Plantilla de PR |
Datos de entrada utilizados
| has_readme | sí |
| has_license | sí |
| readme_badges | — |
| has_contributing | sí |
| has_issue_template | no |
| has_code_of_conduct | no |
| readme_badge_services | — |
| has_pull_request_template | sí |
Adopción en el ecosistema (descargas)
89Excelente
Cómo se puntúa
| 71.5/80 | Descargas mensuales — 229.008 descargas/mes en pypi |
| 0/20 | Dependientes en el registro — no lo informa este ecosistema |
Datos de entrada utilizados
| packages | subagents-pydantic-ai |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 229.008 |
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?
64
Resiliencia de mantenedores (factor bus)
29En riesgo
Cómo se puntúa
| 9/54 | Factor bus — la mitad de los commits recae en 1 contribuyente(s) |
| 3.2/22.5 | Distribución de commits — el principal contribuyente firma el 86% de los commits |
| 6.8/13.5 | Amplitud de contribuyentes — 5 contribuyentes |
| 10/10 | OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations |
Datos de entrada utilizados
| bus_factor | 1 |
| contributors_sampled | 5 |
| top_contributor_share | 0,86 |
Cómo se puntúa
| 38.5/42 | Resolución de issues — 92% de issues cerradas |
| 23.9/30 | Aceptación de PR — 39/49 PR decididos fusionados |
| 0/13 | Newcomer PR acceptance — ningún PR de un contribuyente primerizo decidido en 30 d |
| 3/15 | OpenSSF Scorecard: Code-Review — Found 2/7 approved changesets -- score normalized to 2 |
Datos de entrada utilizados
| merged_prs | 39 |
| open_issues | 1 |
| closed_issues | 11 |
| prs_merged_7d | — |
| prs_decided_7d | — |
| prs_merged_30d | — |
| prs_decided_30d | — |
| issue_closed_ratio | 0,917 |
| closed_unmerged_prs | 10 |
| first_time_authors_30d | — |
| first_time_prs_merged_30d | — |
| first_time_prs_decided_30d | — |
Excluidos de la puntuación (sin datos o no aplicable): newcomer_pr_acceptance. Los pesos restantes se han renormalizado.
Propiedad y custodia
68Bueno
Cómo se puntúa
| 30/30 | Respaldo de la propiedad — propiedad de una organización |
| 0/20 | Dominio verificado |
| 15.6/25 | Alcance del propietario — 146 seguidores de vstorm-co |
| 22/25 | Trayectoria — 34 repos públicos, cuenta de ~5 años |
Datos de entrada utilizados
| followers | 146 |
| owner_type | Organization |
| is_verified | — |
| owner_login | vstorm-co |
| public_repos | 34 |
| account_age_days | 1968 |
Mantenimiento de paquetes
100Excepcional
Cómo se puntúa
| 25/25 | Publicado y resoluble — 1 paquete(s) en pypi |
| 35/35 | Recencia de publicación — última publicación hace 0 días |
| 20/20 | Historial de versiones — 24 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
Datos de entrada utilizados
| packages | subagents-pydantic-ai |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 0 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
96
Prácticas de ingeniería
94Excepcional
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 3 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 16/16 | Configuración de linter |
| 9.6/9.6 | Hooks de pre-commit |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 9 out of 9 merged PRs checked by a CI test -- score normalized to 10 |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | sí |
| has_precommit_config | sí |
Documentación
100Excepcional
Cómo se puntúa
| 30/30 | README |
| 25/25 | Directorio de documentación |
| 15/15 | Sitio de documentación / página del proyecto — https://vstorm-co.github.io/subagents-pydantic-ai/ |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 17 topics |
| 10/10 | Wiki |
Datos de entrada utilizados
| topics | ai-agent-framework, aiagentsframework, anthropic, artificial-intelligence, chatgpt, claude-code, framework, genai, llm, mcp, open-source, openai, pydantic, pydantic-ai, python, subagents, vstorm |
| has_wiki | sí |
| homepage | https://vstorm-co.github.io/subagents-pydantic-ai/ |
| 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?
53
Postura de seguridad
53Moderado
Cómo se puntúa
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — sin datos |
| 2.5/2.5 | CI-Tests — 9 out of 9 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 1.5/7.5 | Code-Review — Found 2/7 approved changesets -- score normalized to 2 |
| 2.5/2.5 | Contributors — project has 5 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Licencia — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — sin datos |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 1.5/7.5 | Vulnerabilities — 8 existing vulnerabilities detected |
Datos de entrada utilizados
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 5,3 |
Excluidos de la puntuación (sin datos o no aplicable): branch_protection, 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? 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.
80
Contexto y guía para agentes
85Excelente
Cómo se puntúa
| 45/45 | Instrucciones para agentes — AGENTS.md |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 40/40 | Historial de commits legible — 73 de 94 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | 0,777 |
| agent_instruction_files | AGENTS.md |
| agent_instruction_max_bytes | 7166 |
Cómo se puntúa
| 18/18 | Arranque con un solo comando — Makefile |
| 22/22 | Pruebas automatizadas |
| 11/11 | Configuración de lint / formato |
| 11/11 | Verificación estática de tipos — src/subagents_pydantic_ai/py.typed |
| 10/10 | Entorno reproducible — lockfile |
| 10/10 | Práctica demostrada con agentes — 15 de los últimos 100 commits con autoría o crédito de agente |
| 8/8 | Mantenimiento automatizado — 6 de los últimos 100 commits son actualizaciones automáticas de dependencias |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Datos de entrada utilizados
| has_nix | no |
| has_tests | sí |
| lockfiles | uv.lock |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | Makefile |
| has_devcontainer | no |
| has_linter_config | sí |
| typecheck_configs | src/subagents_pydantic_ai/py.typed |
| agent_commit_share | 0,15 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0,06 |
Legibilidad del código para modelos
80Excelente
Cómo se puntúa
| 27/45 | Código verificable por tipos — Python con configuración de verificación de tipos (src/subagents_pydantic_ai/py.typed) |
| 53.3/55 | Tamaños de archivo manejables — 1/32 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 167.980 |
| source_files_sampled | 32 |
| oversized_source_files | 1 |
Cómo se puntúa
| 0/40 | Esquema de API (OpenAPI/GraphQL/proto) |
| 0/20 | Servidor MCP |
| 40/40 | Ejemplos ejecutables — examples |
Datos de entrada utilizados
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
Datos clave
57estrellas de GitHub
5contribuidores
135commits en los últimos 12 meses
0días desde el último push
24versiones publicadas
1factor bus
1issues abiertas
PyPIecosistemas de paquetes
Advertencias de recopilación de datos
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
- deps.dev does not index pypi:subagents-pydantic-ai@0.2.13; advisories assessed against the repository dependency graph instead
Más detalle
Historial de estrellas y forks 0 ★ / 18 ⇿
0Estrellas
18Forks
17Versiones
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 2Parche 15
OpenSSF Scorecard 5.3 / 10
5.3agregado
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| n/d | Branch-Protection | internal 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 |
| 10 | CI-Tests | 9 out of 9 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 2 | Code-Review | Found 2/7 approved changesets -- score normalized to 2 |
| 10 | Contributors | project has 5 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| n/d | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 2 | Vulnerabilities | 8 existing vulnerabilities detected |
Dependencias directas 2
| Registro | Paquete | Restricción de versión | Manifiesto |
|---|---|---|---|
| PyPI | pydantic | >=2.0 | pyproject.toml |
| PyPI | pydantic-ai-slim | >=2.0.0 | 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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},
{
"code": "license_spdx",
"params": {
"spdx": "MIT"
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}
],
"max_points": 22.5
},
{
"key": "contributing_guide",
"name": "CONTRIBUTING guide",
"detail": null,
"points": 18,
"status": "met",
"details": [],
"max_points": 18
},
{
"key": "code_of_conduct",
"name": "Code of conduct",
"detail": null,
"points": 0,
"status": "missed",
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},
{
"key": "issue_template",
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"status": "missed",
"details": [],
"max_points": 7.2
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{
"key": "pr_template",
"name": "PR template",
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"max_points": 6.3
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]
},
{
"key": "ecosystem_adoption",
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"name": "Ecosystem adoption (downloads)",
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"notes": [
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"params": {
"components": [
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},
{
"code": "weights_renormalized",
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],
"value": 89,
"inputs": {
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"dependents": null,
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"total_downloads": null,
"monthly_downloads": 229008
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"components": [
{
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"points": 71.5,
"status": "partial",
"details": [
{
"code": "downloads_monthly",
"params": {
"count": 229008,
"ecosystems": "pypi"
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}
],
"max_points": 80
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{
"key": "registry_dependents",
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"points": 0,
"status": "excluded",
"details": [
{
"code": "not_reported_by_this_ecosystem",
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],
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],
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{
"key": "governance",
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"key": "bus_factor",
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"details": [
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"code": "bus_factor",
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{
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"details": [
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"code": "top_contributor_share",
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],
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{
"key": "openssf_scorecard_contributors",
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"details": [],
"max_points": 10
}
]
},
{
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"notes": [
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"code": "excluded_no_data",
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{
"code": "weights_renormalized",
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"components": [
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"details": [
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}
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{
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{
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{
"key": "openssf_scorecard_code_review",
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}
]
},
{
"key": "stewardship",
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"notes": [],
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"inputs": {
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"owner_type": "Organization",
"is_verified": null,
"owner_login": "vstorm-co",
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"components": [
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"code": "owner_organization",
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{
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{
"key": "track_record",
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"detail": "34 public repos, account ~5 yr old",
"points": 22,
"status": "partial",
"details": [
{
"code": "public_repos",
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},
{
"code": "account_age_years",
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]
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{
"key": "package_maintenance",
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"note": null,
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"inputs": {
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{
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"code": "publish_recency",
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],
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{
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{
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]
}
],
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},
{
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"name": "Engineering Quality",
"value": 96,
"weight": 0.19,
"metrics": [
{
"key": "engineering_practices",
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"name": "Engineering practices",
"note": null,
"notes": [],
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"code": "ci_workflows",
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{
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{
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{
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{
"key": "editorconfig",
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{
"key": "openssf_scorecard_ci_tests",
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]
},
{
"key": "documentation",
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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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{
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{
"key": "maintained",
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{
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{
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{
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{
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{
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"components": [
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],
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{
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{
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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 v2.3.1, esquema v0.27.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — PyPI.