Registro público
Informe de salud del softwareesquema 0.15.0 · métricas 1.13.0 · 2026-07-20 06:08 UTC

cerfacs-globc / icclim

icclim: Python library for climate indices and climate indicators calculation.

PythonApache-2.0★ 94 estrellas⑂ 34 forksdesde ene 2014Ver en GitHub ↗

cerfacs-globc/icclim 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, AI Readiness (39/100). Se actualizó por última vez hoy. 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

CERFACS GLOBCOrganización
12 seguidores11 repositorios públicosdesde feb 2015

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
PyPIicclim7.1.2-29hace 0 díasnetcdfclimateclimate-indicesclimate-indicatorsxarray

Métricas por categoría

Vitalidad

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

82Bueno · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
16.6/36Cadencia de commits — 24/52 semanas con commits
18/18Volumen de commits — 284 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year284
human_commit_share
days_since_last_push0
active_weeks_last_year24
Cómo se puntúa
27/27Publica versiones — 49 versiones publicadas
36/36Recencia de las versiones — última versión hace 0 días
12.6/27Cadencia de publicación — una versión cada ~131,3 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count49
latest_release_tagv7.1.2
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases131,3
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?

65Moderado · 18% del índice global
Cómo se puntúa
31.9/60Estrellas — 94 estrellas
12.7/25Forks — 34 forks
3.9/15Observadores — 6 observadores
Datos de entrada utilizados
forks34
stars94
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (Apache-2.0)
18/18Guía CONTRIBUTING
0/13.5Código de conducta
7.2/7.2Plantilla de issues
6.3/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributing
has_issue_template
has_code_of_conductno
has_pull_request_template

Sostenibilidad y Gobernanza

¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?

67Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
9.8/22.5Distribución de commits — el principal contribuyente firma el 56% de los commits
13.5/13.5Amplitud de contribuyentes — 14 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Datos de entrada utilizados
bus_factor1
contributors_sampled14
top_contributor_share0,564
Cómo se puntúa
42.4/46.8Resolución de issues — 91% de issues cerradas
35.5/38.3Aceptación de PR — 256/276 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — Found 0/5 approved changesets -- score normalized to 0
Datos de entrada utilizados
merged_prs256
open_issues12
closed_issues115
issue_closed_ratio0,906
closed_unmerged_prs20
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
8/25Alcance del propietario — 12 seguidores de cerfacs-globc
19.9/25Trayectoria — 11 repos públicos, cuenta de ~11 años
Datos de entrada utilizados
followers12
owner_typeOrganization
is_verified
owner_logincerfacs-globc
public_repos11
account_age_days4160
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 0 días
20/20Historial de versiones — 29 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesicclim
ecosystemspypi
any_deprecatedno
min_days_since_publish0

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 — 3 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 — 15 out of 15 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://icclim.readthedocs.io/en/latest/
10/10Descripción del repositorio
10/10Topics — 11 topics
10/10Wiki
Datos de entrada utilizados
topicscalculation-climate, climate-indices, python, climate-indicators, netcdf, climate-simulations, python-library, python-package, xclim, xarray, icclim
has_wiki
homepagehttps://icclim.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?

58Moderado · 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 — 15 out of 15 merged PRs checked by a CI test -- score normalized to 10
0.5/2.5CII-Best-Practices — badge detected: InProgress
0/7.5Code-Review — Found 0/5 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 5 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 — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
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
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5,8
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.

39En riesgo · 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 — doc/Makefile
22/22Pruebas automatizadas
11/11Configuración de lint / formato
0/11Verificación estática de tipos
0/10Entorno reproducible
0/10Práctica demostrada con agentes — sin datos
0/8Mantenimiento automatizado — sin datos
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Datos de entrada utilizados
has_nixno
has_tests
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesdoc/Makefile
has_devcontainerno
has_linter_config
typecheck_configs
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
0/45Código verificable por tipos — Python sin configuración de verificación de tipos
53/55Tamaños de archivo manejables — 3/81 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes335.783
source_files_sampled81
oversized_source_files3
Cómo se puntúa
0/40Esquema de API (OpenAPI/GraphQL/proto)
0/20Servidor MCP
40/40Ejemplos ejecutables — notebooks
Datos de entrada utilizados
example_dirsnotebooks
has_mcp_signalno
api_schema_files

Datos clave

94estrellas de GitHub
14contribuidores
284commits en los últimos 12 meses
0días desde el último push
49versiones publicadas
1factor bus
12issues abiertas
PyPIecosistemas de paquetes

Más detalle

OpenSSF Scorecard 5.8 / 10
5.8agregado

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 · 2026-07-20 06:07 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-Tests15 out of 15 merged PRs checked by a CI test -- score normalized to 10
2CII-Best-Practicesbadge detected: InProgress
0Code-ReviewFound 0/5 approved changesets -- score normalized to 0
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Dependencias directas 15
RegistroPaqueteRestricción de versiónManifiesto
PyPInumpy>=1.21pyproject.toml
PyPIxarray>=2022.6.0pyproject.toml
PyPIxclim>=0.45.0pyproject.toml
PyPIcf_xarray>=0.7.4pyproject.toml
PyPIcftime>=1.5.0pyproject.toml
PyPIdask>=2022.2.0pyproject.toml
PyPInetCDF4>=1.5.7pyproject.toml
PyPIzarr>=2.11.0pyproject.toml
PyPInumcodecs>=0.10.0pyproject.toml
PyPIfsspecpyproject.toml
PyPIpandas>=1.3.0pyproject.toml
PyPIdateparser>=1.1.0pyproject.toml
PyPIpint>=0.20pyproject.toml
PyPIjinja2>=3.0pyproject.toml
PyPItyping-extensions>=4.0pyproject.toml
Todas las dependencias 150

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 30 paquetes directos y 120 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIcf-xarraydirecta
PyPIcf-xarray0.10.11directa
PyPIcftimedirecta
PyPIcftime1.6.5directa
PyPIdaskdirecta
PyPIdask2026.1.2directa
PyPIdateparserdirecta
PyPIdateparser1.3.0directa
PyPIfsspecdirecta
PyPIfsspec2026.2.0directa
PyPIjinja2directa
PyPIjinja23.1.6directa
PyPInetcdf4directa
PyPInetcdf41.7.4directa
PyPInumcodecsdirecta
PyPInumcodecs0.16.5directa
PyPInumpydirecta
PyPInumpy2.4.2directa
PyPIpandasdirecta
PyPIpandas3.0.1directa
PyPIpintdirecta
PyPIpint0.25.2directa
PyPItyping-extensionsdirecta
PyPItyping-extensions4.15.0directa
PyPIxarraydirecta
PyPIxarray2026.2.0directa
PyPIxclimdirecta
PyPIxclim0.60.0directa
PyPIzarrdirecta
PyPIzarr3.1.5directa
PyPIaccessible-pygments0.0.5indirecta
PyPIalabaster1.0.0indirecta
PyPIanyio4.12.1indirecta
PyPIastroid3.3.11indirecta
PyPIasttokens3.0.1indirecta
PyPIattrs25.4.0indirecta
PyPIbabel2.18.0indirecta
PyPIbeautifulsoup44.14.3indirecta
PyPIbleach6.4.0indirecta
PyPIboltons25.0.0indirecta
PyPIbottleneck1.6.0indirecta
PyPIcertifi2026.2.25indirecta
PyPIcfgv3.5.0indirecta
PyPIcharset-normalizer3.4.4indirecta
PyPIclick8.3.1indirecta
PyPIcloudpickle3.1.2indirecta
PyPIcolorama0.4.6indirecta
PyPIcoverage7.13.4indirecta
PyPIdecorator5.2.1indirecta
PyPIdefusedxml0.7.1indirecta
PyPIdistlib0.4.0indirecta
PyPIdocstring-parser0.17.0indirecta
PyPIdocutils0.22.4indirecta
PyPIdonfig0.8.1.post1indirecta
PyPIexecuting2.2.1indirecta
PyPIfastjsonschema2.21.2indirecta
PyPIfilelock3.25.0indirecta
PyPIflexcache0.3indirecta
PyPIflexparser0.4indirecta
PyPIflit3.12.0indirecta
PyPIflit-core3.12.0indirecta
PyPIgoogle-crc32c1.8.0indirecta
PyPIh110.16.0indirecta
PyPIidentify2.6.17indirecta
PyPIidna3.15indirecta
PyPIimagesize1.4.1indirecta
PyPIimportlib-metadata8.7.1indirecta
PyPIiniconfig2.3.0indirecta
PyPIipython9.10.0indirecta
PyPIipython-pygments-lexers1.1.1indirecta
PyPIjedi0.19.2indirecta
PyPIjoblib1.5.3indirecta
PyPIjsonschema4.26.0indirecta
PyPIjsonschema-specifications2025.9.1indirecta
PyPIjupyter-client8.8.0indirecta
PyPIjupyter-core5.9.1indirecta
PyPIjupyterlab-pygments0.3.0indirecta
PyPIllvmlite0.46.0indirecta
PyPIlocket1.0.0indirecta
PyPImarkupsafe3.0.3indirecta
PyPImatplotlib-inline0.2.1indirecta
PyPImistune3.3.0indirecta
PyPInbclient0.10.4indirecta
PyPInbconvert7.17.1indirecta
PyPInbformat5.10.4indirecta
PyPInbsphinx0.9.8indirecta
PyPInodeenv1.10.0indirecta
PyPInumba0.64.0indirecta
PyPIpackaging26.0indirecta
PyPIpandocfilters1.5.1indirecta
PyPIparso0.8.6indirecta
PyPIpartd1.4.2indirecta
PyPIpexpect4.9.0indirecta
PyPIplatformdirs4.9.2indirecta
PyPIpluggy1.6.0indirecta
PyPIpre-commit4.5.1indirecta
PyPIprompt-toolkit3.0.52indirecta
PyPIptyprocess0.7.0indirecta
PyPIpure-eval0.2.3indirecta
PyPIpyarrow23.0.1indirecta
PyPIpydata-sphinx-theme0.16.1indirecta
PyPIpygments2.20.0indirecta
PyPIpytest9.0.3indirecta
PyPIpytest-cov7.0.0indirecta
PyPIpython-dateutil2.9.0.post0indirecta
PyPIpython-discovery1.1.0indirecta
PyPIpytz2025.2indirecta
PyPIpyyaml6.0.3indirecta
PyPIpyzmq27.1.0indirecta
PyPIreferencing0.37.0indirecta
PyPIregex2026.2.28indirecta
PyPIrequests2.33.0indirecta
PyPIroman-numerals4.1.0indirecta
PyPIrpds-py0.30.0indirecta
PyPIruff0.15.4indirecta
PyPIscikit-learn1.8.0indirecta
PyPIscipy1.17.1indirecta
PyPIsix1.17.0indirecta
PyPIsnowballstemmer3.0.1indirecta
PyPIsoupsieve2.8.4indirecta
PyPIsphinx9.0.4indirecta
PyPIsphinx-autoapi3.7.0indirecta
PyPIsphinx-autobuild2025.8.25indirecta
PyPIsphinx-codeautolink0.17.5indirecta
PyPIsphinx-copybutton0.5.2indirecta
PyPIsphinx-lfs-content1.1.10indirecta
PyPIsphinxcontrib-applehelp2.0.0indirecta
PyPIsphinxcontrib-devhelp2.0.0indirecta
PyPIsphinxcontrib-htmlhelp2.1.0indirecta
PyPIsphinxcontrib-jsmath1.0.1indirecta
PyPIsphinxcontrib-qthelp2.0.0indirecta
PyPIsphinxcontrib-serializinghtml2.0.0indirecta
PyPIstack-data0.6.3indirecta
PyPIstarlette1.3.1indirecta
PyPIthreadpoolctl3.6.0indirecta
PyPItinycss21.4.0indirecta
PyPItomli-w1.2.0indirecta
PyPItoolz1.1.0indirecta
PyPItornado6.5.7indirecta
PyPItraitlets5.14.3indirecta
PyPItzlocal5.3.1indirecta
PyPIurllib32.7.0indirecta
PyPIuvicorn0.41.0indirecta
PyPIvirtualenv21.1.0indirecta
PyPIwatchfiles1.1.1indirecta
PyPIwcwidth0.6.0indirecta
PyPIwebencodings0.5.1indirecta
PyPIwebsockets16.0indirecta
PyPIyamale6.1.0indirecta
PyPIzipp3.23.0indirecta
Informe JSON sin procesar legible por máquina
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          {
            "name": "tinycss2",
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            "name": "tomli-w",
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          {
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          {
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          },
          {
            "name": "yamale",
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        ],
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        "truncated": false,
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        {
          "type": "User",
          "login": "pagecp",
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          "avatar_url": "https://avatars.githubusercontent.com/u/7314890?v=4"
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        {
          "type": "Bot",
          "login": "pre-commit-ci[bot]",
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        {
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          "login": "tatarinova",
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        {
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          "login": "xpivan",
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          "avatar_url": "https://avatars.githubusercontent.com/u/23241139?v=4"
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        {
          "type": "User",
          "login": "marev711",
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          "avatar_url": "https://avatars.githubusercontent.com/u/4026562?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": "larsbarring",
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          "avatar_url": "https://avatars.githubusercontent.com/u/15440426?v=4"
        },
        {
          "type": "User",
          "login": "bekozi",
          "commits": 5,
          "avatar_url": "https://avatars.githubusercontent.com/u/636921?v=4"
        },
        {
          "type": "User",
          "login": "aulemahal",
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          "avatar_url": "https://avatars.githubusercontent.com/u/20629530?v=4"
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      ],
      "contributors_sampled": 14,
      "top_contributor_share": 0.564
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      "has_tests": true,
      "ci_workflows": [
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      "has_linter_config": true,
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          {
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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",
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          },
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            "name": "Fuzzing",
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            "reason": "project is not fuzzed",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#fuzzing"
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          {
            "name": "License",
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            "reason": "license file detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#license"
          },
          {
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          {
            "name": "Packaging",
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#pinned-dependencies"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#sast"
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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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            "name": "Vulnerabilities",
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  "source": {
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    "name": "icclim",
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      "key": "overall",
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      "name": "Overall health",
      "note": null,
      "notes": [],
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        "metrics": [
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            "key": "development_activity",
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                "key": "commit_volume",
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                "key": "openssf_scorecard_maintained",
                "name": "OpenSSF Scorecard: Maintained",
                "detail": "30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10",
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            "key": "release_discipline",
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            "note": null,
            "notes": [],
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            "inputs": {
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            "components": [
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                "key": "readme",
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                "key": "license",
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                "points": 22.5,
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                "details": [
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                "key": "issue_template",
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                "key": "pr_template",
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        "metrics": [
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            "inputs": {
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                "key": "bus_factor",
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                "detail": "1 contributor(s) cover half of all commits",
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                "status": "partial",
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              },
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                "key": "commit_distribution",
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                "points": 9.8,
                "status": "partial",
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              {
                "key": "contributor_breadth",
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                "points": 13.5,
                "status": "met",
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                "max_points": 13.5
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              {
                "key": "openssf_scorecard_contributors",
                "name": "OpenSSF Scorecard: Contributors",
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          },
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            "key": "responsiveness",
            "band": "good",
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            "note": null,
            "notes": [],
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            "components": [
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                "key": "issue_resolution",
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                "detail": "91% of issues closed",
                "points": 42.4,
                "status": "partial",
                "details": [
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                    "code": "issues_closed_share",
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  "license_spdx": "Apache-2.0"
}

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 v0.15.0 — metodología completa · wiki de métricas.

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