Registro público
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-30 22:15 UTC

python-poetry / poetry-plugin-export

Poetry plugin to export the dependencies to various formats

PythonMIT★ 335 estrellas⑂ 57 forksdesde may 2021Ver en GitHub ↗

python-poetry/poetry-plugin-export tiene un índice de salud de 66 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Engineering Quality (82/100) y la más baja, AI Readiness (47/100). Se actualizó por última vez hace 3 días. 2 personas concentran la mayor parte del trabajo reciente.

66
global / 100
Moderado

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.

66
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

PoetryOrganización
924 seguidores14 repositorios públicosdesde mar 2019

Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.

Ecosistemas de paquetes

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicación
PyPIpoetry-plugin-export1.10.083.463.27522hace 193 días

Métricas por categoría

Vitalidad

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

54Moderado · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 3 días
4.8/36Cadencia de commits — 7/52 semanas con commits
11.5/18Volumen de commits — 18 commits en el último año
1/10OpenSSF Scorecard: Maintained — 1 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 1
Datos de entrada utilizados
commits_last_year18
human_commit_share0,6
days_since_last_push3
active_weeks_last_year7
Cómo se puntúa
27/27Publica versiones — 24 versiones publicadas
16.2/36Recencia de las versiones — última versión hace 193 días
12.6/27Cadencia de publicación — una versión cada ~120,4 días
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Datos de entrada utilizados
releases_count24
latest_release_tag1.10.0
releases_from_tagsno
days_since_latest_release193
mean_days_between_releases120,4

Comunidad y Adopción

¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?

66Moderado · 18% del índice global
Cómo se puntúa
40.9/60Estrellas — 335 estrellas
14.6/25Forks — 57 forks
3.9/15Observadores — 6 observadores
Datos de entrada utilizados
forks57
stars335
watchers6
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
Cómo se puntúa
80/80Descargas mensuales — 83.463.275 descargas/mes en pypi
0/20Dependientes en el registro — no lo informa este ecosistema
Datos de entrada utilizados
packagespoetry-plugin-export
dependents
ecosystemspypi
total_downloads
monthly_downloads83.463.275
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?

72Bueno · 24% del índice global
Cómo se puntúa
25.2/54Factor bus — la mitad de los commits recae en 2 contribuyente(s)
14.1/22.5Distribución de commits — el principal contribuyente firma el 37% de los commits
13.5/13.5Amplitud de contribuyentes — 33 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Datos de entrada utilizados
bus_factor2
contributors_sampled33
top_contributor_share0,374
Cómo se puntúa
28.1/46.8Resolución de issues — 60% de issues cerradas
35/38.3Aceptación de PR — 186/203 PR decididos fusionados
3/15OpenSSF Scorecard: Code-Review — Found 6/21 approved changesets -- score normalized to 2
Datos de entrada utilizados
merged_prs186
open_issues62
closed_issues93
issue_closed_ratio0,6
closed_unmerged_prs17
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
21.3/25Alcance del propietario — 924 seguidores de python-poetry
20.6/25Trayectoria — 14 repos públicos, cuenta de ~7 años
Datos de entrada utilizados
followers924
owner_typeOrganization
is_verified
owner_loginpython-poetry
public_repos14
account_age_days2690
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
26/35Recencia de publicación — última publicación hace 193 días
20/20Historial de versiones — 22 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagespoetry-plugin-export
ecosystemspypi
any_deprecatedno
min_days_since_publish193

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

82Bueno · 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
9.6/9.6Hooks de pre-commit
0/6.4.editorconfig
12/20OpenSSF Scorecard: CI-Tests — 19 out of 30 merged PRs checked by a CI test -- score normalized to 6
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_config
has_precommit_config
Cómo se puntúa
30/30README
25/25Directorio de documentación
0/15Sitio de documentación / página del proyecto
10/10Descripción del repositorio
10/10Topics — 3 topics
0/10Wiki
Datos de entrada utilizados
topicspython, poetry, poetry-plugin
has_wikino
homepage
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?

56Moderado · 16% del índice global
Cómo se puntúa
6/7.5Binary-Artifacts — binaries present in source code
0/7.5Branch-Protection — sin datos
1.5/2.5CI-Tests — 19 out of 30 merged PRs checked by a CI test -- score normalized to 6
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-Review — Found 6/21 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 8 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Licencia — license file detected
0.8/7.5Maintained — 1 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 1
5/5Packaging — packaging workflow detected
3.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
3/5SAST — SAST tool is not run on all commits -- score normalized to 6
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities — 18 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4,5
Excluidos de la puntuación (sin datos o no aplicable): branch_protection. Los pesos restantes se han renormalizado.
Cómo se puntúa
35/35Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido
25/25Dependencias indirectas libres de avisos conocidos — ninguna dependencia indirecta tiene un aviso conocido
0/40Sin avisos pendientes — ningún aviso tiene fecha de publicación
Datos de entrada utilizados
sourceosv
advisories0
affected_packages0
assessed_packages42
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluidos de la puntuación (sin datos o no aplicable): Sin avisos pendientes. Los pesos restantes se han renormalizado. Se cotejó el cierre de dependencias en tiempo de ejecución de pypi:poetry-plugin-export@1.10.0 —lo que arrastra la instalación del paquete publicado—: 42 paquetes. No se analiza la alcanzabilidad.

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.

47En 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)
40/40Historial de commits legible — 55 de 60 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txtno
legible_history_share0,917
agent_instruction_files
agent_instruction_max_bytes
Cómo se puntúa
0/18Arranque con un solo comando
22/22Pruebas automatizadas
11/11Configuración de lint / formato
0/11Verificación estática de tipos
10/10Entorno reproducible — lockfile
0/10Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 100
0/8Mantenimiento automatizado — no se observan actualizaciones automáticas de dependencias
7/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
Datos de entrada utilizados
has_nixno
has_tests
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_config
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Cómo se puntúa
0/45Código verificable por tipos — Python sin configuración de verificación de tipos
52.1/55Tamaños de archivo manejables — 1/19 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes104.627
source_files_sampled19
oversized_source_files1

Datos clave

335estrellas de GitHub
33contribuidores
18commits en los últimos 12 meses
3días desde el último push
24versiones publicadas
2factor bus
62issues abiertas
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 ★ / 57 ⇿
0Estrellas
57Forks
24Versiones

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.

01020304050605722021-072024-012026-07
Mayor 1Menor 11Parche 12

Cada punto abarca 5 días.

OpenSSF Scorecard 4.5 / 10
4.5agregado

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 · 2026-07-30 22:14 UTC

8Binary-Artifactsbinaries present in source code
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
6CI-Tests19 out of 30 merged PRs checked by a CI test -- score normalized to 6
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 6/21 approved changesets -- score normalized to 2
10Contributorsproject has 8 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
1Maintained1 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 1
10Packagingpackaging workflow detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
6SASTSAST tool is not run on all commits -- score normalized to 6
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities18 existing vulnerabilities detected
Dependencias directas 3
RegistroPaqueteRestricción de versiónManifiesto
PyPIpoetry(>=2.1.0,<3.0.0)pyproject.toml
PyPIpoetry-core(>=2.1.0,<3.0.0)pyproject.toml
PyPItomlkit(>=0.11.4,<1.0.0)pyproject.toml
Todas las dependencias 74

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 3 paquetes directos y 71 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIpoetry2.3.0directa
PyPIpoetry-core2.3.0directa
PyPItomlkit0.14.0directa
PyPIanyio4.12.1indirecta
PyPIbackports-tarfile1.2.0indirecta
PyPIbuild1.4.0indirecta
PyPIcachecontrol0.14.4indirecta
PyPIcertifi2026.1.4indirecta
PyPIcffi2.0.0indirecta
PyPIcfgv3.5.0indirecta
PyPIcharset-normalizer3.4.4indirecta
PyPIcleo2.1.0indirecta
PyPIcolorama0.4.6indirecta
PyPIcoverage7.13.1indirecta
PyPIcrashtest0.4.1indirecta
PyPIcryptography46.0.3indirecta
PyPIdistlib0.4.0indirecta
PyPIdulwich0.25.2indirecta
PyPIexceptiongroup1.3.1indirecta
PyPIexecnet2.1.2indirecta
PyPIfastjsonschema2.21.2indirecta
PyPIfilelock3.20.3indirecta
PyPIfindpython0.7.1indirecta
PyPIh110.16.0indirecta
PyPIhttpcore1.0.9indirecta
PyPIhttpx0.28.1indirecta
PyPIidentify2.6.16indirecta
PyPIidna3.11indirecta
PyPIimportlib-metadata8.7.1indirecta
PyPIiniconfig2.3.0indirecta
PyPIinstaller0.7.0indirecta
PyPIjaraco-classes3.4.0indirecta
PyPIjaraco-context6.1.0indirecta
PyPIjaraco-functools4.4.0indirecta
PyPIjeepney0.9.0indirecta
PyPIkeyring25.7.0indirecta
PyPIlibrt0.7.8indirecta
PyPImore-itertools10.8.0indirecta
PyPImsgpack1.1.2indirecta
PyPImypy1.19.1indirecta
PyPImypy-extensions1.1.0indirecta
PyPInodeenv1.10.0indirecta
PyPIpackaging25.0indirecta
PyPIpathspec1.0.3indirecta
PyPIpbs-installer2026.1.14indirecta
PyPIpkginfo1.12.1.2indirecta
PyPIplatformdirs4.5.1indirecta
PyPIpluggy1.6.0indirecta
PyPIpre-commit4.5.1indirecta
PyPIpsutil7.2.1indirecta
PyPIpycparser2.23indirecta
PyPIpygments2.19.2indirecta
PyPIpyproject-hooks1.2.0indirecta
PyPIpytest9.0.2indirecta
PyPIpytest-cov7.0.0indirecta
PyPIpytest-github-actions-annotate-failures0.1.8indirecta
PyPIpytest-mock3.15.1indirecta
PyPIpytest-randomly4.0.1indirecta
PyPIpytest-xdist3.8.0indirecta
PyPIpywin32-ctypes0.2.3indirecta
PyPIpyyaml6.0.3indirecta
PyPIrapidfuzz3.14.3indirecta
PyPIrequests2.32.5indirecta
PyPIrequests-toolbelt1.0.0indirecta
PyPIsecretstorage3.5.0indirecta
PyPIshellingham1.5.4indirecta
PyPItomli2.4.0indirecta
PyPItrove-classifiers2026.1.14.14indirecta
PyPItyping-extensions4.15.0indirecta
PyPIurllib32.6.3indirecta
PyPIvirtualenv20.36.1indirecta
PyPIxattr1.3.0indirecta
PyPIzipp3.23.0indirecta
PyPIzstandard0.25.0indirecta
Avisos de dependencias 0

Instalar pypi:poetry-plugin-export@1.10.0 arrastra 42 paquetes, directos y transitivos: 0 tienen avisos conocidos, de los cuales 0 son dependencias directas.

Ningún aviso conocido afecta a las dependencias evaluadas.

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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          "kind": "patch",
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        },
        {
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          "kind": "patch",
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          "kind": "patch",
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      {
        "key": "governance",
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                "key": "bus_factor",
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                "key": "commit_distribution",
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                "key": "openssf_scorecard_contributors",
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              "merged_prs": 186,
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              "issue_closed_ratio": 0.6,
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                "key": "issue_resolution",
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                      "share": 60
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                "max_points": 46.75
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                "key": "pr_acceptance",
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                "key": "openssf_scorecard_code_review",
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              "followers": 924,
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                "key": "verified_domain",
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                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
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              {
                "key": "track_record",
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                "detail": "14 public repos, account ~7 yr old",
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                "max_points": 25
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            ]
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          {
            "key": "package_maintenance",
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            "name": "Package maintenance",
            "note": null,
            "notes": [],
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              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 193
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                "key": "published_resolvable",
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              {
                "key": "publish_recency",
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                "key": "version_history",
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                "points": 20,
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                "details": [
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                "key": "not_deprecated",
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          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
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        "key": "engineering",
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        "name": "Engineering Quality",
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        "weight": 0.2,
        "metrics": [
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            "note": null,
            "notes": [],
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                "key": "ci_workflows",
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                "points": 24,
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                "max_points": 24
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              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
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                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
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                "points": 16,
                "status": "met",
                "details": [],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
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                "points": 9.6,
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                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
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                "status": "missed",
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                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "19 out of 30 merged PRs checked by a CI test -- score normalized to 6",
                "points": 12,
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          },
          {
            "key": "documentation",
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            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 75,
            "inputs": {
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                "poetry-plugin"
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              "has_wiki": false,
              "homepage": null,
              "has_readme": true,
              "has_docs_dir": true,
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            "components": [
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                "key": "readme",
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              {
                "key": "documentation_directory",
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                "detail": null,
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                "key": "documentation_homepage_site",
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                "key": "repository_description",
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                "key": "topics",
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                "key": "wiki",
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                "status": "missed",
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              }
            ]
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        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
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        "name": "Security",
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        "weight": 0.16,
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                  "components": [
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              {
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            "value": 45,
            "inputs": {
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                "points": 6,
                "status": "partial",
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              },
              {
                "key": "branch_protection",
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                "points": 0,
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                "status": "missed",
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                "key": "code_review",
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                "key": "contributors",
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                "points": 2.5,
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                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
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                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
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                "points": 0,
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                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
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                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "1 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 1",
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                "status": "partial",
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                "key": "packaging",
                "name": "Packaging",
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                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 7",
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                "status": "partial",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
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                "status": "partial",
                "details": [],
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              {
                "key": "security_policy",
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                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
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                "max_points": 7.5
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                "key": "token_permissions",
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                "status": "met",
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              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "18 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
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                "max_points": 7.5
              }
            ]
          },
          {
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            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:poetry-plugin-export@1.10.0 runtime dependency closure — what installing the published package pulls in — 42 packages. Reachability is not analyzed.",
            "notes": [
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                "code": "excluded_no_data",
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                "code": "weights_renormalized",
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              {
                "code": "advisories_scope_published",
                "params": {
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              {
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            "value": 100,
            "inputs": {
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              "assessed_packages": 42,
              "unassessed_packages": 0,
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              "direct_affected_packages": 0
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            "components": [
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                "key": "direct_dependencies_free_of_known_advisories",
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                "points": 35,
                "status": "met",
                "details": [
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                "max_points": 35
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                "key": "indirect_dependencies_free_of_known_advisories",
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                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
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                "max_points": 25
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              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
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                ],
                "max_points": 40
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          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 42,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
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                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
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                ],
                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
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            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
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              "policy_countries": [
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                "North Korea"
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              "review_only_matches": 0,
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                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
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                "points": 100,
                "status": "met",
                "details": [
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                    "code": "jurisdiction_no_match",
                    "params": {}
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                ],
                "max_points": 100
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            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "at_risk",
        "name": "AI Readiness",
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        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
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            "note": null,
            "notes": [],
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            "inputs": {
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              "legible_history_share": 0.917,
              "agent_instruction_files": [],
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            },
            "components": [
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                "key": "agent_instructions",
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                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
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                    "code": "no_agent_instructions",
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                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
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                "details": [
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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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              {
                "key": "automated_maintenance",
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          },
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                "points": 0,
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                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
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                "detail": "1/19 source files over 60KB",
                "points": 52.1,
                "status": "partial",
                "details": [
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                ],
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              }
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        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-30T22:15:26.505386Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/python-poetry/poetry-plugin-export.svg",
  "full_name": "python-poetry/poetry-plugin-export",
  "license_state": "standard",
  "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 v0.27.0 — metodología completa · wiki de métricas.

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