Registro público
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-29 03:33 UTC

aristanetworks / avd

Arista AVD: Architect Validate Deploy

Python · JinjaApache-2.0★ 405 estrellas⑂ 279 forksdesde sept 2019Ver en GitHub ↗

aristanetworks/avd tiene un índice de salud de 86 sobre 100, lo que lo sitúa en la banda Excelente. Su puntuación más alta es Vitality (96/100) y la más baja, Community & Adoption (74/100). Se actualizó por última vez hoy. 4 personas concentran la mayor parte del trabajo reciente.

86
global / 100
Excelente

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.

86
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

Arista NetworksOrganización
744 seguidores177 repositorios públicosdesde mar 2011

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
PyPIpyavd6.3.025.50884hace 25 díaspyavd

Métricas por categoría

Vitalidad

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

96Excelente · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
36/36Cadencia de commits — 52/52 semanas con commits
18/18Volumen de commits — 977 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year977
human_commit_share0,76
days_since_last_push0
active_weeks_last_year52
Cómo se puntúa
27/27Publica versiones — 100 versiones publicadas
36/36Recencia de las versiones — última versión hace 4 días
27/27Cadencia de publicación — una versión cada ~16,6 días
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Datos de entrada utilizados
releases_count100
latest_release_tagv6.4.0-dev1
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases16,6

Comunidad y Adopción

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

74Bueno · 18% del índice global
Cómo se puntúa
42.3/60Estrellas — 405 estrellas
20.4/25Forks — 279 forks
8/15Observadores — 28 observadores
Datos de entrada utilizados
forks279
stars405
watchers28
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
0/7.2Plantilla de issues
6.3/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributing
has_issue_templateno
has_code_of_conductno
has_pull_request_template
Cómo se puntúa
58.8/80Descargas mensuales — 25.508 descargas/mes en pypi
0/20Dependientes en el registro — no lo informa este ecosistema
Datos de entrada utilizados
packagespyavd
dependents
ecosystemspypi
total_downloads
monthly_downloads25.508
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?

87Excelente · 24% del índice global
Cómo se puntúa
43.2/54Factor bus — la mitad de los commits recae en 4 contribuyente(s)
18.6/22.5Distribución de commits — el principal contribuyente firma el 18% de los commits
13.5/13.5Amplitud de contribuyentes — 98 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Datos de entrada utilizados
bus_factor4
contributors_sampled98
top_contributor_share0,175
Cómo se puntúa
40.7/46.8Resolución de issues — 87% de issues cerradas
35.3/38.3Aceptación de PR — 4495/4874 PR decididos fusionados
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Datos de entrada utilizados
merged_prs4495
open_issues289
closed_issues1931
issue_closed_ratio0,87
closed_unmerged_prs379
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
20.6/25Alcance del propietario — 744 seguidores de aristanetworks
25/25Trayectoria — 177 repos públicos, cuenta de ~15 años
Datos de entrada utilizados
followers744
owner_typeOrganization
is_verified
owner_loginaristanetworks
public_repos177
account_age_days5598
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 25 días
20/20Historial de versiones — 84 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagespyavd
ecosystemspypi
any_deprecatedno
min_days_since_publish25

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

92Excelente · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 18 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter — .flake8, tox.ini
9.6/9.6Hooks de pre-commit
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 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

90Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://github.com/aristanetworks/admin/blob/main/CONTRIBUTING.md
10/10Descripción del repositorio
10/10Topics — 11 topics
0/10Wiki
Datos de entrada utilizados
topicsarista, ansible, cloudvision, avd, playbook, eapi, eos, jinja2, cloudvision-portal, cvp, python
has_wikino
homepagehttps://github.com/aristanetworks/admin/blob/main/CONTRIBUTING.md
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?

78Bueno · 16% del índice global
Cómo se puntúa
6.8/7.5Binary-Artifacts — binaries present in source code
7.5/7.5Branch-Protection — branch protection is fully enabled on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 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
7.5/7.5Code-Review — all changesets reviewed
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 2 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
3/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate7,3
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:pyavd@6.3.0 —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.

79Bueno · 0% del índice global
Cómo se puntúa
45/45Instrucciones para agentes — ansible_collections/arista/avd/roles/eos_cli_config_gen/docs/tables/agents.md
0/15Documentación legible por máquinas (llms.txt)
40/40Historial de commits legible — 64 de 76 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txtno
legible_history_share0,842
agent_instruction_filesansible_collections/arista/avd/roles/eos_cli_config_gen/docs/tables/agents.md
agent_instruction_max_bytes2151
Cómo se puntúa
18/18Arranque con un solo comando — Makefile, ansible_collections/arista/avd/examples/dual-dc-l3ls/Makefile, ansible_collections/arista/avd/examples/isis-ldp-ipvpn/Makefile, ansible_collections/arista/avd/examples/l2ls-fabric/Makefile, ansible_collections/arista/avd/examples/single-dc-l3ls-ipv6/Makefile, ansible_collections/arista/avd/examples/single-dc-l3ls/Makefile, ansible_collections/arista/avd/examples/single-dc-multipod-l3ls/Makefile, ansible_collections/arista/avd/extensions/molecule/Makefile, python-avd/Makefile, python-avd/pyavd/_cv/Makefile
22/22Pruebas automatizadas
11/11Configuración de lint / formato — .flake8, tox.ini
0/11Verificación estática de tipos
10/10Entorno reproducible — devcontainer, Dockerfile
10/10Práctica demostrada con agentes — 5 de los últimos 100 commits con autoría o crédito de agente
8/8Mantenimiento automatizado — 19 de los últimos 100 commits son actualizaciones automáticas de dependencias
4/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
Datos de entrada utilizados
has_nixno
has_tests
lockfiles
has_dockerfile
typed_languageno
bootstrap_filesMakefile, ansible_collections/arista/avd/examples/dual-dc-l3ls/Makefile, ansible_collections/arista/avd/examples/isis-ldp-ipvpn/Makefile, ansible_collections/arista/avd/examples/l2ls-fabric/Makefile, ansible_collections/arista/avd/examples/single-dc-l3ls-ipv6/Makefile, ansible_collections/arista/avd/examples/single-dc-l3ls/Makefile, ansible_collections/arista/avd/examples/single-dc-multipod-l3ls/Makefile, ansible_collections/arista/avd/extensions/molecule/Makefile, python-avd/Makefile, python-avd/pyavd/_cv/Makefile
has_devcontainer
has_linter_config
typecheck_configs
agent_commit_share0,05
toolchain_manifests
dependency_bot_commit_share0,19
Cómo se puntúa
0/45Código verificable por tipos — Python sin configuración de verificación de tipos
53/55Tamaños de archivo manejables — 21/591 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes5.920.349
source_files_sampled591
oversized_source_files21
Cómo se puntúa
40/40Esquema de API (OpenAPI/GraphQL/proto) — python-avd/pyavd/_cv/extra_cv_protos/arista/swg.v1/services.gen.proto, python-avd/pyavd/_cv/extra_cv_protos/arista/swg.v1/swg.proto
0/20Servidor MCP
40/40Ejemplos ejecutables — examples
Datos de entrada utilizados
example_dirsexamples
has_mcp_signalno
api_schema_filespython-avd/pyavd/_cv/extra_cv_protos/arista/swg.v1/services.gen.proto, python-avd/pyavd/_cv/extra_cv_protos/arista/swg.v1/swg.proto

Datos clave

405estrellas de GitHub
98contribuidores
977commits en los últimos 12 meses
0días desde el último push
100versiones publicadas
4factor bus
289issues 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 ★ / 279 ⇿
0Estrellas
279Forks
99Versiones

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.

05010015020025030027552019-092023-022026-07
Mayor 3Menor 20Parche 16

Cada punto abarca 7 días.

OpenSSF Scorecard 7.3 / 10
7.3agregado

Evaluación de seguridad independiente y agnóstica en cuanto a herramientas, procedente del proyecto de código abierto OpenSSF Scorecard. Cada comprobación premia una práctica de seguridad, no la herramienta de un proveedor concreto. Las comprobaciones que Scorecard no pudo determinar se marcan como n/d y se excluyen de la puntuación de seguridad (nunca se cuentan como cero).Scorecard v5.5.0 · 2026-07-29 03:32 UTC

9Binary-Artifactsbinaries present in source code
10Branch-Protectionbranch protection is fully enabled on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
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 2 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
4Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
4Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Dependencias directas 9
RegistroPaqueteRestricción de versiónManifiesto
PyPIanta>=1.8.0python-avd/pyproject.toml
PyPIaristaproto>=0.1.1python-avd/pyproject.toml
PyPIdeepmerge>=1.1.0python-avd/pyproject.toml
PyPIgrpclib>=0.4.8python-avd/pyproject.toml
PyPIjinja2>=3.0python-avd/pyproject.toml
PyPIpyavd-utils==0.0.6python-avd/pyproject.toml
PyPIpython-socks>=2.7.2python-avd/pyproject.toml
PyPIpyyaml>=6.0.0python-avd/pyproject.toml
PyPIrequests>=2.27.0python-avd/pyproject.toml
Todas las dependencias 41

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 11 paquetes directos y 30 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIantadirecta
PyPIanta1.9.0directa
PyPIaristaprotodirecta
PyPIaristaproto0.1.5directa
PyPIdeepmergedirecta
PyPIgrpclibdirecta
PyPIjinja2directa
PyPIpyavd-utils0.0.6directa
PyPIpython-socksdirecta
PyPIpyyamldirecta
PyPIrequestsdirecta
PyPIansible-coreindirecta
PyPIansible-doc-extractorindirecta
PyPIansible-lintindirecta
PyPIbump-my-versionindirecta
PyPIcodespellindirecta
PyPIcoverageindirecta
PyPIcoverage7.15.2indirecta
PyPIdistlibindirecta
PyPIdockerindirecta
PyPIidentifyindirecta
PyPIjsonschema-rsindirecta
PyPImike1.1.2indirecta
PyPImkdocsindirecta
PyPImkdocs-materialindirecta
PyPImoleculeindirecta
PyPImolecule-pluginsindirecta
PyPInetaddrindirecta
PyPIpre-commitindirecta
PyPIpre-commit-hooksindirecta
PyPIpyavd6.4.0.dev1indirecta
PyPIpydanticindirecta
PyPIpylintindirecta
PyPIpytestindirecta
PyPIpytest-asyncioindirecta
PyPIreferencingindirecta
PyPIruff0.15.22indirecta
PyPIsetuptoolsindirecta
PyPItoxindirecta
PyPItwineindirecta
PyPIyamllintindirecta
Avisos de dependencias 0

Instalar pypi:pyavd@6.3.0 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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        {
          "tag": "v6.0.0-dev9",
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          "published_at": "2026-02-13T17:20:47Z"
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        {
          "tag": "v6.0.0-dev8",
          "kind": "prerelease",
          "published_at": "2026-02-06T15:50:41Z"
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        {
          "tag": "v6.0.0-dev7",
          "kind": "prerelease",
          "published_at": "2026-01-26T19:23:36Z"
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        {
          "tag": "v6.0.0-dev6",
          "kind": "prerelease",
          "published_at": "2026-01-06T09:01:21Z"
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          "tag": "v6.0.0-dev5",
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                "key": "registry_dependents",
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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": "contributor_breadth",
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                "key": "openssf_scorecard_contributors",
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          },
          {
            "key": "responsiveness",
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            "notes": [],
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                "key": "issue_resolution",
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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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            "key": "stewardship",
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              "followers": 744,
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                "max_points": 30
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                "key": "verified_domain",
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              {
                "key": "owner_reach",
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              {
                "key": "track_record",
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              "ecosystems": "pypi",
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                "key": "not_deprecated",
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        ],
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      {
        "key": "engineering",
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        "weight": 0.2,
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                "key": "ci_workflows",
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                "key": "tests_present",
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                "points": 24,
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              {
                "key": "linter_config",
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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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                "key": "documentation_directory",
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                "key": "topics",
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                "key": "wiki",
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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        "weight": 0.16,
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                "key": "branch_protection",
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                "points": 0,
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                "key": "code_review",
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                "key": "contributors",
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              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
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                "points": 10,
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              {
                "key": "dependency_update_tool",
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                "points": 7.5,
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                "details": [],
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                "key": "fuzzing",
                "name": "Fuzzing",
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                "status": "missed",
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                "key": "license",
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              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
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                "key": "packaging",
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                "max_points": 5
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                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
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                "points": 2,
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              {
                "key": "sast",
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                "max_points": 5
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              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
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              {
                "key": "signed_releases",
                "name": "Signed-Releases",
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                "status": "missed",
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                "key": "token_permissions",
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              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
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            ]
          },
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            "key": "dependency_advisories",
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            "notes": [
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                "code": "excluded_no_data",
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                "code": "weights_renormalized",
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                "code": "advisories_scope_published",
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            "value": 100,
            "inputs": {
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                "key": "direct_dependencies_free_of_known_advisories",
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                "max_points": 35
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                "key": "indirect_dependencies_free_of_known_advisories",
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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",
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            "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",
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              "red_flag": false,
              "assessed_packages": 42,
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              "direct_malicious_packages": 0,
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            "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",
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                "details": [
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                "max_points": 100
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            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "notes": [
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                "code": "jurisdiction_evidence_limits",
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            "value": 100,
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              "review_only_matches": 0,
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            "components": [
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                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
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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?"
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      {
        "key": "ai_readiness",
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                "key": "machine_readable_docs_llms_txt",
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                "max_points": 40
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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 v1.13.0, esquema v0.27.0 — metodología completa · wiki de métricas.

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