Registro público
Informe de salud del softwareesquema 0.12.0 · métricas 1.13.0 · 2026-07-18 12:36 UTC

jazzband / pip-tools

A set of tools to keep your pinned Python dependencies fresh.

PythonBSD-3-Clause★ 8010 estrellas⑂ 664 forksdesde sept 2012Ver en GitHub ↗

jazzband/pip-tools tiene un índice de salud de 88 sobre 100, lo que lo sitúa en la banda Excelente. Su puntuación más alta es Community & Adoption (95/100) y la más baja, AI Readiness (43/100). Se actualizó por última vez hoy. 4 personas concentran la mayor parte del trabajo reciente.

88
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.

88
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

JazzbandOrganización
2269 seguidores76 repositorios públicosdesde oct 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
PyPIpip-tools7.5.317.007.802123hace 156 díaspiprequirementspackaging

Métricas por categoría

Vitalidad

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

91Excelente · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
31.2/36Cadencia de commits — 45/52 semanas con commits
18/18Volumen de commits — 398 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 26 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year398
human_commit_share
days_since_last_push0
active_weeks_last_year45
Cómo se puntúa
27/27Publica versiones — 74 versiones publicadas
36/36Recencia de las versiones — última versión hace 0 días
12.6/27Cadencia de publicación — una versión cada ~121,7 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count74
latest_release_tagv7.6.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases121,7
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: Signed-Releases. Los pesos restantes se han renormalizado.

Comunidad y Adopción

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

95Excelente · 18% del índice global
Cómo se puntúa
60/60Estrellas — 8010 estrellas
23.5/25Forks — 664 forks
11/15Observadores — 95 observadores
Datos de entrada utilizados
forks664
stars8010
watchers95
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (BSD-3-Clause)
18/18Guía CONTRIBUTING
13.5/13.5Código 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_conduct
has_pull_request_template
Cómo se puntúa
80/80Descargas mensuales — 17.007.802 descargas/mes en pypi
0/20Dependientes en el registro — no lo informa este ecosistema
Datos de entrada utilizados
packagespip-tools
dependents
ecosystemspypi
total_downloads
monthly_downloads17.007.802
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)
18.1/22.5Distribución de commits — el principal contribuyente firma el 19% de los commits
13.5/13.5Amplitud de contribuyentes — 100 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 130 contributing companies or organizations
Datos de entrada utilizados
bus_factor4
contributors_sampled100
top_contributor_share0,194
Cómo se puntúa
40.6/46.8Resolución de issues — 87% de issues cerradas
30.8/38.3Aceptación de PR — 965/1199 PR decididos fusionados
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Datos de entrada utilizados
merged_prs965
open_issues152
closed_issues1001
issue_closed_ratio0,868
closed_unmerged_prs234
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
24.1/25Alcance del propietario — 2269 seguidores de jazzband
25/25Trayectoria — 76 repos públicos, cuenta de ~10 años
Datos de entrada utilizados
followers2269
owner_typeOrganization
is_verified
owner_loginjazzband
public_repos76
account_age_days3929
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 156 días
20/20Historial de versiones — 123 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagespip-tools
ecosystemspypi
any_deprecatedno
min_days_since_publish156

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 — 4 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 — 13 out of 13 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://pip-tools.rtfd.io
10/10Descripción del repositorio
10/10Topics — 9 topics
0/10Wiki
Datos de entrada utilizados
topicspython, packaging, pip, pip-tools, pip-compile, setuptools, requirements, lockfile, hashes
has_wikino
homepagehttps://pip-tools.rtfd.io
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?

73Bueno · 16% del índice global
Cómo se puntúa
0/7.5Binary-Artifacts — binaries present in source code
0/7.5Branch-Protection — sin datos
2.5/2.5CI-Tests — 13 out of 13 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 130 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 26 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — sin datos
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate7,3
Excluidos de la puntuación (sin datos o no aplicable): branch_protection, signed_releases. Los pesos restantes se han renormalizado.

Preparación para IA

¿Hasta qué punto está el repositorio preparado para desarrollarse y mantenerse con agentes de codificación de IA? 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.

43En 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
0/18Arranque con un solo comando
22/22Pruebas automatizadas
11/11Configuración de lint / formato — .flake8, tox.ini
11/11Verificación estática de tipos — piptools/py.typed
0/10Entorno reproducible
0/10Práctica demostrada con agentes — sin datos
0/8Mantenimiento automatizado — sin datos
7/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
Datos de entrada utilizados
has_nixno
has_tests
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_config
typecheck_configspiptools/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Excluidos de la puntuación (sin datos o no aplicable): Práctica demostrada con agentes, Mantenimiento automatizado. Los pesos restantes se han renormalizado.
Cómo se puntúa
27/45Código verificable por tipos — Python con configuración de verificación de tipos (piptools/py.typed)
54.2/55Tamaños de archivo manejables — 1/66 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes135.221
source_files_sampled66
oversized_source_files1
Cómo se puntúa
0/40Esquema de API (OpenAPI/GraphQL/proto)
0/20Servidor MCP
40/40Ejemplos ejecutables — examples
Datos de entrada utilizados
example_dirsexamples
has_mcp_signalno
api_schema_files

Datos clave

8010estrellas de GitHub
100contribuidores
398commits en los últimos 12 meses
0días desde el último push
74versiones publicadas
4factor bus
152issues abiertas
PyPIecosistemas de paquetes

Más detalle

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 · 2026-07-18 12:35 UTC

0Binary-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
10CI-Tests13 out of 13 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 130 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 26 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Dependencias directas 7
RegistroPaqueteRestricción de versiónManifiesto
PyPIbuild>= 1.0.0pyproject.toml
PyPIclick>= 8pyproject.toml
PyPIpip>= 22.2pyproject.toml
PyPIpyproject_hookspyproject.toml
PyPItomlipyproject.toml
PyPIsetuptoolspyproject.toml
PyPIwheelpyproject.toml
Todas las dependencias 84

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 13 paquetes directos y 71 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIbuilddirecta
PyPIbuild1.5.0directa
PyPIclickdirecta
PyPIclick8.3.1directa
PyPIpipdirecta
PyPIpip26.1.1directa
PyPIpyproject-hooksdirecta
PyPIpyproject-hooks1.2.0directa
PyPIsetuptoolsdirecta
PyPIsetuptools80.10.2directa
PyPItomlidirecta
PyPIwheeldirecta
PyPIwheel0.47.0directa
PyPIaccessible-pygments0.0.5indirecta
PyPIalabaster1.0.0indirecta
PyPIbabel2.18.0indirecta
PyPIbeautifulsoup44.14.3indirecta
PyPIboltons25.0.0indirecta
PyPIbracex2.6indirecta
PyPIcertifi2026.1.4indirecta
PyPIcharset-normalizer3.4.4indirecta
PyPIclick-extra7.5.3indirecta
PyPIcloup3.0.8indirecta
PyPIcoloramaindirecta
PyPIcorniceindirecta
PyPIdeepmerge2.0indirecta
PyPIdistro1.9.0indirecta
PyPIdjangoindirecta
PyPIdocutils0.22.4indirecta
PyPIenum34indirecta
PyPIextra-platforms8.0.0indirecta
PyPIfake-direct-runtime-depindirecta
PyPIfuro2025.12.19indirecta
PyPIidna3.16indirecta
PyPIimagesize1.4.1indirecta
PyPIipaddressindirecta
PyPIjinja23.1.6indirecta
PyPIjsonschemaindirecta
PyPImarkdown-it-py4.0.0indirecta
PyPImarkupsafe3.0.3indirecta
PyPImdit-py-plugins0.5.0indirecta
PyPImdurl0.1.2indirecta
PyPImyst-parser5.0.0indirecta
PyPIpackaging26.0indirecta
PyPIpbr7.0.3indirecta
PyPIpygments2.20.0indirecta
PyPIpygments-ansi-color0.3.0indirecta
PyPIpyramidindirecta
PyPIpython-dateutilindirecta
PyPIpython-memcachedindirecta
PyPIpyyaml6.0.3indirecta
PyPIpyzmqindirecta
PyPIrequests2.33.0indirecta
PyPIroman-numerals4.1.0indirecta
PyPIsetuptools-scm9.2.2indirecta
PyPIsimplejsonindirecta
PyPIsixindirecta
PyPIsmall-fake-aindirecta
PyPIsmall-fake-a0.1indirecta
PyPIsmall-fake-bindirecta
PyPIsmall-fake-b0.1indirecta
PyPIsmall-fake-with-unpinned-depsindirecta
PyPIsnowballstemmer3.0.1indirecta
PyPIsoupsieve2.8.4indirecta
PyPIsphinx9.1.0indirecta
PyPIsphinx-basic-ng1.0.0b2indirecta
PyPIsphinx-issues5.0.1indirecta
PyPIsphinxcontrib-apidoc0.6.0indirecta
PyPIsphinxcontrib-applehelp2.0.0indirecta
PyPIsphinxcontrib-devhelp2.0.0indirecta
PyPIsphinxcontrib-htmlhelp2.1.0indirecta
PyPIsphinxcontrib-jsmath1.0.1indirecta
PyPIsphinxcontrib-programoutput0.18indirecta
PyPIsphinxcontrib-qthelp2.0.0indirecta
PyPIsphinxcontrib-serializinghtml2.0.0indirecta
PyPIsphinxcontrib-towncrier0.5.0a0indirecta
PyPIsqlalchemyindirecta
PyPItabulate0.9.0indirecta
PyPItowncrier25.8.0indirecta
PyPItyping-extensions4.15.0indirecta
PyPIurllib32.7.0indirecta
PyPIwcmatch10.1indirecta
PyPIwcwidth0.5.3indirecta
PyPIxmltodictindirecta
Informe JSON sin procesar legible por máquina
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                "key": "ships_releases",
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                "detail": "74 releases published",
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                  {
                    "code": "releases_published",
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                      "count": 74
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              {
                "key": "release_cadence",
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                  {
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                "max_points": 27
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                "key": "openssf_scorecard_signed_releases",
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          {
            "key": "abandonment",
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            "inputs": {
              "cap": null,
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                    "code": "abandonment_unverified",
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        ],
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      },
      {
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                    "code": "stars",
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              {
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                      "count": 664
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                "max_points": 25
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              {
                "key": "watchers",
                "name": "Watchers",
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                    "code": "watchers",
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                      "count": 95
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                "max_points": 15
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          },
          {
            "key": "community_health",
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            "note": null,
            "notes": [],
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              "has_contributing": true,
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            "components": [
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                "key": "license",
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                "status": "met",
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                  {
                    "code": "license_standard",
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                  {
                    "code": "license_spdx",
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                "key": "contributing_guide",
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              {
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                "max_points": 80
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                "key": "registry_dependents",
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                "max_points": 20
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        "name": "Sustainability & Governance",
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                "key": "openssf_scorecard_contributors",
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                "max_points": 10
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                "key": "pr_acceptance",
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            "key": "stewardship",
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              "followers": 2269,
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                "key": "verified_domain",
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                "key": "not_deprecated",
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        ],
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        ],
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                "key": "cii_best_practices",
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              },
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                "key": "code_review",
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                "key": "contributors",
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              },
              {
                "key": "dependency_update_tool",
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              },
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                "key": "fuzzing",
                "name": "Fuzzing",
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              },
              {
                "key": "license",
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                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 26 issue activity found in the last 90 days -- score normalized to 10",
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              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
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                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 7",
                "points": 3.5,
                "status": "partial",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is run on all commits",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "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",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 6
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "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",
        "value": 43,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "legible_commit_history"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 1,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
                  }
                ],
                "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",
                "name": "Legible commit history",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice",
                    "automated_maintenance"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 62,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "piptools/py.typed"
              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": ".flake8, tox.ini",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": ".flake8, tox.ini"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "piptools/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "piptools/py.typed"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 7",
                "points": 7,
                "status": "partial",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 81,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 135221,
              "source_files_sampled": 66,
              "oversized_source_files": 1
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (piptools/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "piptools/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "1/66 source files over 60KB",
                "points": 54.2,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 66,
                      "oversized": 1
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "examples"
              ],
              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "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": [],
  "report_type": "repository",
  "generated_at": "2026-07-18T12:36:07.988437Z",
  "schema_version": "0.12.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/j/jazzband/pip-tools.svg",
  "full_name": "jazzband/pip-tools",
  "license_state": "standard",
  "license_spdx": "BSD-3-Clause"
}

Las puntuaciones son señales, no garantías. Reflejan prácticas públicamente visibles en GitHub; no son una auditoría de código ni una garantía de seguridad.

Los datos ausentes se excluyen y los pesos se renormalizan; nunca se puntúan como cero. La metodología es versionada y abierta: métricas v1.13.0, esquema v0.12.0 — metodología completa · wiki de métricas.

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