Registro público
Informe de salud del softwareesquema 0.12.0 · métricas 1.13.0 · 2026-07-18 13:51 UTC

beartype / plum

Multiple dispatch in Python

PythonMIT★ 647 estrellas⑂ 27 forksdesde nov 2017Ver en GitHub ↗

beartype/plum tiene un índice de salud de 74 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Engineering Quality (96/100) y la más baja, Community & Adoption (56/100). Se actualizó por última vez hace 4 días. Una sola persona concentra la mayor parte del trabajo reciente.

74
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.

74
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

beartypeOrganización
60 seguidores8 repositorios públicosdesde abr 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 publicaciónEtiquetas
PyPIplum-dispatch2.9.0-76hace 81 díasmultipledispatch

Métricas por categoría

Vitalidad

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

84Bueno · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 4 días
15.9/36Cadencia de commits — 23/52 semanas con commits
17.4/18Volumen de commits — 86 commits en el último año
10/10OpenSSF Scorecard: Maintained — 13 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year86
human_commit_share
days_since_last_push4
active_weeks_last_year23
Cómo se puntúa
27/27Publica versiones — 75 versiones publicadas
36/36Recencia de las versiones — última versión hace 81 días
19.8/27Cadencia de publicación — una versión cada ~52,8 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count75
latest_release_tagv2.9.0
releases_from_tagsno
days_since_latest_release81
mean_days_between_releases52,8
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?

56Moderado · 18% del índice global
Cómo se puntúa
45.6/60Estrellas — 647 estrellas
11.8/25Forks — 27 forks
3.3/15Observadores — 5 observadores
Datos de entrada utilizados
forks27
stars647
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (MIT)
0/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
0/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributingno
has_issue_templateno
has_code_of_conductno
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?

65Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
5.6/22.5Distribución de commits — el principal contribuyente firma el 75% de los commits
13.5/13.5Amplitud de contribuyentes — 15 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations
Datos de entrada utilizados
bus_factor1
contributors_sampled15
top_contributor_share0,752
Cómo se puntúa
31.5/46.8Resolución de issues — 67% de issues cerradas
35.6/38.3Aceptación de PR — 132/142 PR decididos fusionados
6/15OpenSSF Scorecard: Code-Review — Found 7/17 approved changesets -- score normalized to 4
Datos de entrada utilizados
merged_prs132
open_issues43
closed_issues89
issue_closed_ratio0,674
closed_unmerged_prs10
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
12.8/25Alcance del propietario — 60 seguidores de beartype
18.9/25Trayectoria — 8 repos públicos, cuenta de ~6 años
Datos de entrada utilizados
followers60
owner_typeOrganization
is_verified
owner_loginbeartype
public_repos8
account_age_days2297
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 81 días
20/20Historial de versiones — 76 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesplum-dispatch
ecosystemspypi
any_deprecatedno
min_days_since_publish81

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

96Excelente · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 6 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter
9.6/9.6Hooks de pre-commit
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 20 out of 20 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_config

Documentación

100Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://beartype.github.io/plum
10/10Descripción del repositorio
10/10Topics — 2 topics
10/10Wiki
Datos de entrada utilizados
topicsmultiple-dispatch, python
has_wiki
homepagehttps://beartype.github.io/plum
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?

66Moderado · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — sin datos
2.5/2.5CI-Tests — 20 out of 20 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
3/7.5Code-Review — Found 7/17 approved changesets -- score normalized to 4
2.5/2.5Contributors — project has 13 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Licencia — license file detected
7.5/7.5Maintained — 13 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — sin datos
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6,6
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? 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.

57Moderado · 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 — noxfile.py
22/22Pruebas automatizadas
11/11Configuración de lint / formato
11/11Verificación estática de tipos — src/plum/py.typed
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
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesnoxfile.py
has_devcontainerno
has_linter_config
typecheck_configssrc/plum/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 (src/plum/py.typed)
55/55Tamaños de archivo manejables — 0/44 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes22.779
source_files_sampled44
oversized_source_files0

Datos clave

647estrellas de GitHub
15contribuidores
86commits en los últimos 12 meses
4días desde el último push
75versiones publicadas
1factor bus
43issues abiertas
PyPIecosistemas de paquetes

Más detalle

OpenSSF Scorecard 6.6 / 10
6.6agregado

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 13:50 UTC

10Binary-Artifactsno binaries found in the repo
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-Tests20 out of 20 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 7/17 approved changesets -- score normalized to 4
10Contributorsproject has 13 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained13 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
8Vulnerabilities2 existing vulnerabilities detected
Dependencias directas 4
RegistroPaqueteRestricción de versiónManifiesto
PyPIbeartype>=0.22.2pyproject.toml
PyPIbeartype>=0.16.2pyproject.toml
PyPItyping-extensions>=4.9.0pyproject.toml
PyPIrich>=10.0pyproject.toml
Todas las dependencias 169

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 3 paquetes directos y 166 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
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PyPIrich14.2.0directa
PyPItyping-extensions4.15.0directa
PyPIaccessible-pygments0.0.5indirecta
PyPIalabaster0.7.16indirecta
PyPIanyio4.12.1indirecta
PyPIappnope0.1.4indirecta
PyPIargcomplete3.6.3indirecta
PyPIastroid4.0.2indirecta
PyPIasttokens3.0.1indirecta
PyPIattrs25.4.0indirecta
PyPIbabel2.17.0indirecta
PyPIbackports-tarfile1.2.0indirecta
PyPIbackports-zstd1.3.0indirecta
PyPIbashlex0.18indirecta
PyPIbeautifulsoup44.14.3indirecta
PyPIbracex2.6indirecta
PyPIbuild1.4.0indirecta
PyPIcertifi2025.11.12indirecta
PyPIcffi2.0.0indirecta
PyPIcfgv3.5.0indirecta
PyPIcharset-normalizer3.4.4indirecta
PyPIcibuildwheel2.23.3indirecta
PyPIcibuildwheel3.3.1indirecta
PyPIclick8.3.1indirecta
PyPIcolorama0.4.6indirecta
PyPIcolorlog6.10.1indirecta
PyPIcomm0.2.3indirecta
PyPIcoverage7.13.0indirecta
PyPIcoveralls4.0.2indirecta
PyPIcryptography48.0.1indirecta
PyPIdebugpy1.8.17indirecta
PyPIdecorator5.2.1indirecta
PyPIdependency-groups1.3.1indirecta
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PyPIdistlib0.4.0indirecta
PyPIdocopt0.6.2indirecta
PyPIdocutils0.21.2indirecta
PyPIexceptiongroup1.3.1indirecta
PyPIexecuting2.2.1indirecta
PyPIfastjsonschema2.21.2indirecta
PyPIfilelock3.20.3indirecta
PyPIgreenlet3.3.0indirecta
PyPIh110.16.0indirecta
PyPIhatch1.16.3indirecta
PyPIhatch-mypyc0.16.0indirecta
PyPIhatch-vcs0.5.0indirecta
PyPIhatchling1.28.0indirecta
PyPIhttpcore1.0.9indirecta
PyPIhttpx0.28.1indirecta
PyPIhumanize4.14.0indirecta
PyPIhyperlink21.0.0indirecta
PyPIidentify2.6.15indirecta
PyPIidna3.15indirecta
PyPIimagesize1.4.1indirecta
PyPIimportlib-metadata8.7.0indirecta
PyPIiniconfig2.3.0indirecta
PyPIipykernel7.1.0indirecta
PyPIipython8.37.0indirecta
PyPIipython9.8.0indirecta
PyPIipython-pygments-lexers1.1.1indirecta
PyPIisort7.0.0indirecta
PyPIjaraco-classes3.4.0indirecta
PyPIjaraco-context6.1.0indirecta
PyPIjaraco-functools4.4.0indirecta
PyPIjedi0.19.2indirecta
PyPIjeepney0.9.0indirecta
PyPIjinja23.1.6indirecta
PyPIjsonschema4.25.1indirecta
PyPIjsonschema-specifications2025.9.1indirecta
PyPIjupyter-book1.0.4.post1indirecta
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PyPIlinkify-it-py2.0.3indirecta
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PyPImore-itertools10.8.0indirecta
PyPImypy1.19.0indirecta
PyPImypy-extensions1.1.0indirecta
PyPImyst-nb1.3.0indirecta
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PyPIpytest-cov7.0.0indirecta
PyPIpython-dateutil2.9.0.post0indirecta
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PyPIwcwidth0.2.14indirecta
PyPIwheel0.46.2indirecta
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Informe JSON sin procesar legible por máquina
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            "name": "uc-micro-py",
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        ],
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        "truncated": false,
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          "login": "wesselb",
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          "avatar_url": "https://avatars.githubusercontent.com/u/1444448?u=2c4e82914e0810f45a390074bc6eb81b8817d05a&v=4"
        },
        {
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          "login": "PhilipVinc",
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          "avatar_url": "https://avatars.githubusercontent.com/u/2407108?u=4c7a6e51d6bdf7ff8a5fcb89bb852d6a4bed8899&v=4"
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          "login": "nstarman",
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          "avatar_url": "https://avatars.githubusercontent.com/u/8949649?u=779c8f5870dc539dca7d75a38e1e588f40160c9f&v=4"
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        {
          "type": "Bot",
          "login": "dependabot[bot]",
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          "avatar_url": "https://avatars.githubusercontent.com/in/29110?v=4"
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        {
          "type": "User",
          "login": "gabrieldemarmiesse",
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          "avatar_url": "https://avatars.githubusercontent.com/u/12891691?u=7f49c0407749c186e5df5e1cecb8b2daa47846e3&v=4"
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        {
          "type": "User",
          "login": "ruancomelli",
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          "avatar_url": "https://avatars.githubusercontent.com/u/22752929?u=1835c99716fb3c2df9e825582dff1882119e6d17&v=4"
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        {
          "type": "User",
          "login": "yukinarit",
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          "avatar_url": "https://avatars.githubusercontent.com/u/2347533?u=0eaacb57f8c14f53abcc4f2c76bf5fbcbdd6f300&v=4"
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        {
          "login": "Copilot",
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        },
        {
          "type": "User",
          "login": "francesco-ballarin",
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          "avatar_url": "https://avatars.githubusercontent.com/u/11783908?v=4"
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        {
          "type": "User",
          "login": "gy-mate",
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          "avatar_url": "https://avatars.githubusercontent.com/u/13014176?u=513fcba5dd9996a100a4f23322ac58f9fb243055&v=4"
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    "quality_signals": {
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      "has_tests": true,
      "ci_workflows": [
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        "ci.yml",
        "codeql.yml",
        "formatting_check.yml",
        "publish.yml",
        "publish_new_pypi_name.yml"
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      "linter_configs": [],
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      "has_linter_config": true,
      "has_precommit_config": true
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    "security_signals": {
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      "scorecard": {
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          },
          {
            "name": "Branch-Protection",
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          {
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          {
            "name": "CII-Best-Practices",
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            "reason": "no effort to earn an OpenSSF best practices badge detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#cii-best-practices"
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          {
            "name": "Code-Review",
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            "reason": "Found 7/17 approved changesets -- score normalized to 4",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#code-review"
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          {
            "name": "Contributors",
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          {
            "name": "Dangerous-Workflow",
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            "reason": "no dangerous workflow patterns detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
          },
          {
            "name": "Dependency-Update-Tool",
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            "reason": "update tool detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dependency-update-tool"
          },
          {
            "name": "Fuzzing",
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            "reason": "project is not fuzzed",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#fuzzing"
          },
          {
            "name": "License",
            "score": 10,
            "reason": "license file detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#license"
          },
          {
            "name": "Maintained",
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#maintained"
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          {
            "name": "Packaging",
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            "reason": "packaging workflow detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#packaging"
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            "name": "Pinned-Dependencies",
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            "reason": "dependency not pinned by hash detected -- score normalized to 1",
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#sast"
          },
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            "name": "Security-Policy",
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            "reason": "security policy file not detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#security-policy"
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            "reason": "no releases found",
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#vulnerabilities"
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      "key": "overall",
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      "note": null,
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        "metrics": [
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            "key": "development_activity",
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                "key": "openssf_scorecard_maintained",
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                "points": 10,
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            "notes": [
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                "key": "ships_releases",
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                "key": "release_recency",
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        "metrics": [
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            "key": "community_health",
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            "note": null,
            "notes": [],
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            "inputs": {
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                "key": "license",
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                "key": "issue_template",
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                "points": 0,
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                "key": "pr_template",
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                "status": "missed",
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                "key": "bus_factor",
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                "key": "commit_distribution",
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                "status": "partial",
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              {
                "key": "contributor_breadth",
                "name": "Contributor breadth",
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                "points": 13.5,
                "status": "met",
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                "key": "owner_reach",
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                "key": "openssf_scorecard_ci_tests",
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        ],
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                "key": "machine_readable_docs_llms_txt",
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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 v0.12.0 — metodología completa · wiki de métricas.

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