Registro público
Informe de salud del softwareesquema 0.11.0 · métricas 1.13.0 · 2026-07-17 06:23 UTC

aws-powertools / powertools-lambda-python

A developer toolkit to implement Serverless best practices and increase developer velocity.

PythonMIT-0★ 3271 estrellas⑂ 482 forksdesde nov 2019Ver en GitHub ↗

aws-powertools/powertools-lambda-python tiene un índice de salud de 90 sobre 100, lo que lo sitúa en la banda Excelente. Su puntuación más alta es Vitality (98/100) y la más baja, AI Readiness (61/100). Se actualizó por última vez hace 3 días. 2 personas concentran la mayor parte del trabajo reciente.

90
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.

90
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

Powertools for AWSOrganización
295 seguidores9 repositorios públicosdesde mar 2023

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
PyPIaws_lambda_powertools3.31.1-528hace 3 díasaws-lambda-powertoolsawstracinglogginglambdapowertoolsfeature-flagsidempotencymiddleware

Métricas por categoría

Vitalidad

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

98Excelente · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 3 días
32.5/36Cadencia de commits — 47/52 semanas con commits
18/18Volumen de commits — 847 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year847
human_commit_share
days_since_last_push3
active_weeks_last_year47
Cómo se puntúa
27/27Publica versiones — 100 versiones publicadas
36/36Recencia de las versiones — última versión hace 3 días
27/27Cadencia de publicación — una versión cada ~26,2 días
10/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Datos de entrada utilizados
releases_count100
latest_release_tagv3.31.1
releases_from_tagsno
days_since_latest_release3
mean_days_between_releases26,2

Comunidad y Adopción

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

90Excelente · 18% del índice global
Cómo se puntúa
57/60Estrellas — 3271 estrellas
22.4/25Forks — 482 forks
9.2/15Observadores — 46 observadores
Datos de entrada utilizados
forks482
stars3271
watchers46
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (MIT-0)
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

Sostenibilidad y Gobernanza

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

77Bueno · 24% del índice global
Cómo se puntúa
25.2/54Factor bus — la mitad de los commits recae en 2 contribuyente(s)
12.8/22.5Distribución de commits — el principal contribuyente firma el 43% de los commits
13.5/13.5Amplitud de contribuyentes — 100 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations
Datos de entrada utilizados
bus_factor2
contributors_sampled100
top_contributor_share0,432
Cómo se puntúa
45.9/46.8Resolución de issues — 98% de issues cerradas
31.1/38.3Aceptación de PR — 5314/6531 PR decididos fusionados
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Datos de entrada utilizados
merged_prs5314
open_issues28
closed_issues1526
issue_closed_ratio0,982
closed_unmerged_prs1217
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
17.8/25Alcance del propietario — 295 seguidores de aws-powertools
13.9/25Trayectoria — 9 repos públicos, cuenta de ~3 años
Datos de entrada utilizados
followers295
owner_typeOrganization
is_verified
owner_loginaws-powertools
public_repos9
account_age_days1207
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 3 días
20/20Historial de versiones — 528 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesaws_lambda_powertools
ecosystemspypi
any_deprecatedno
min_days_since_publish3

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 — 29 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter — .flake8, .pylintrc, ruff.toml, 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://docs.powertools.aws.dev/lambda/python/latest/
10/10Descripción del repositorio
10/10Topics — 5 topics
0/10Wiki
Datos de entrada utilizados
topicsaws, aws-lambda, lambda, python, serverless
has_wikino
homepagehttps://docs.powertools.aws.dev/lambda/python/latest/
has_readme
has_docs_dir
has_description

Seguridad

¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?

93Excelente · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal 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
1.2/2.5CII-Best-Practices — badge detected: Passing
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 13 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
5/5Fuzzing — project is fuzzed
2.5/2.5Licencia — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
7.5/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
5.2/7.5Vulnerabilities — 3 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate9,3

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.

61Moderado · 0% del índice global
Cómo se puntúa
0/45Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor
0/15Documentación legible por máquinas (llms.txt)
0/40Historial de commits legible — sin datos
Datos de entrada utilizados
has_llms_txtno
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluidos de la puntuación (sin datos o no aplicable): Historial de commits legible. Los pesos restantes se han renormalizado.
Cómo se puntúa
18/18Arranque con un solo comando — Makefile, noxfile.py
22/22Pruebas automatizadas
11/11Configuración de lint / formato — .flake8, .pylintrc, ruff.toml, tox.ini
11/11Verificación estática de tipos — aws_lambda_powertools/py.typed, mypy.ini, tests/e2e/utils/py.typed, tests/functional/py.typed
10/10Entorno reproducible — Dockerfile, lockfile
0/10Práctica demostrada con agentes — sin datos
5/8Mantenimiento automatizado — automatización de dependencias configurada, no observada en los commits muestreados
6/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
Datos de entrada utilizados
has_nixno
has_tests
lockfilespackage-lock.json, poetry.lock
has_dockerfile
typed_languageno
bootstrap_filesMakefile, noxfile.py
has_devcontainerno
has_linter_config
typecheck_configsaws_lambda_powertools/py.typed, mypy.ini, tests/e2e/utils/py.typed, tests/functional/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluidos de la puntuación (sin datos o no aplicable): Práctica demostrada con agentes. Los pesos restantes se han renormalizado.
Cómo se puntúa
27/45Código verificable por tipos — Python con configuración de verificación de tipos (aws_lambda_powertools/py.typed, mypy.ini, tests/e2e/utils/py.typed, tests/functional/py.typed)
54.7/55Tamaños de archivo manejables — 7/1314 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes1.510.271
source_files_sampled1314
oversized_source_files7
Cómo se puntúa
40/40Esquema de API (OpenAPI/GraphQL/proto) — examples/event_handler_graphql/src/advanced_batch_query.graphql, examples/event_handler_graphql/src/getting_started_schema.graphql, examples/event_handler_graphql/src/nested_mappings_schema.graphql, examples/kafka/consumer/schemas/user.proto, tests/e2e/event_handler_appsync/files/schema.graphql, tests/functional/kafka_consumer/_protobuf/confluent_protobuf.proto, tests/functional/kafka_consumer/_protobuf/user.proto, tests/functional/kafka_consumer/_protobuf/user_prof.proto
0/20Servidor MCP
40/40Ejemplos ejecutables — examples
Datos de entrada utilizados
example_dirsexamples
has_mcp_signalno
api_schema_filesexamples/event_handler_graphql/src/advanced_batch_query.graphql, examples/event_handler_graphql/src/getting_started_schema.graphql, examples/event_handler_graphql/src/nested_mappings_schema.graphql, examples/kafka/consumer/schemas/user.proto, tests/e2e/event_handler_appsync/files/schema.graphql, tests/functional/kafka_consumer/_protobuf/confluent_protobuf.proto, tests/functional/kafka_consumer/_protobuf/user.proto, tests/functional/kafka_consumer/_protobuf/user_prof.proto

Datos clave

3271estrellas de GitHub
100contribuidores
847commits en los últimos 12 meses
3días desde el último push
100versiones publicadas
2factor bus
28issues abiertas
npm, PyPIecosistemas de paquetes

Advertencias de recopilación de datos

  • Could not fetch pypi package 'aws-lambda-powertools-python-layer' from its registry
  • Could not fetch npm package 'aws-lambda-powertools-python-e2e' from its registry

Más detalle

OpenSSF Scorecard 9.3 / 10
9.3agregado

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 · 2026-07-17 06:22 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
5CII-Best-Practicesbadge detected: Passing
10Code-Reviewall changesets reviewed
10Contributorsproject has 13 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
10Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7Vulnerabilities3 existing vulnerabilities detected
Dependencias directas 15
RegistroPaqueteRestricción de versiónManifiesto
PyPIaws-cdk-lib^2.223.0layer_v3/pyproject.toml
PyPIjmespath^1.0.1pyproject.toml
PyPItyping-extensions^4.11.0pyproject.toml
PyPIaws-xray-sdk^2.8.0pyproject.toml
PyPIfastjsonschema^2.14.5pyproject.toml
PyPIpydantic^2.4.0pyproject.toml
PyPIpydantic-settings^2.6.1pyproject.toml
PyPIboto3^1.34.32pyproject.toml
PyPIredis>=4.4,<9.0pyproject.toml
PyPIvalkey-glide>=1.3.5,<3.0pyproject.toml
PyPIaws-encryption-sdk>=4.0.5,<5.0.0pyproject.toml
PyPIjsonpath-ng^1.6.0pyproject.toml
PyPIdatadog-lambda>=8.114.0,<9.0.0pyproject.toml
PyPIavro^1.12.0pyproject.toml
PyPIprotobuf>=6.30.2,<8.0.0pyproject.toml
Todas las dependencias 229

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 21 paquetes directos y 208 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
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PyPIprotobuf7.35.1directa
PyPIpydanticdirecta
PyPIpydantic2.13.4directa
PyPIpydantic-settings2.14.2directa
PyPIredis8.0.1directa
PyPItyping-extensions4.14.0directa
PyPItyping-extensions4.15.0directa
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Gogithub.com/aws/aws-sdk-go-v2/aws/protocol/eventstream1.6.4indirecta
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Gogithub.com/aws/aws-sdk-go-v2/credentials1.17.32indirecta
Gogithub.com/aws/aws-sdk-go-v2/feature/ec2/imds1.16.13indirecta
Gogithub.com/aws/aws-sdk-go-v2/internal/configsources1.3.17indirecta
Gogithub.com/aws/aws-sdk-go-v2/internal/endpoints/v22.6.17indirecta
Gogithub.com/aws/aws-sdk-go-v2/internal/ini1.8.1indirecta
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Gogithub.com/aws/aws-sdk-go-v2/service/lambda1.58.3indirecta
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Gogithub.com/aws/smithy-go1.20.4indirecta
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  "generated_at": "2026-07-17T06:23:14.951443Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/aws-powertools/powertools-lambda-python.svg",
  "full_name": "aws-powertools/powertools-lambda-python",
  "license_state": "standard",
  "license_spdx": "MIT-0"
}

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

Los datos ausentes se excluyen y los pesos se renormalizan; nunca se puntúan como cero. La metodología es versionada y abierta: métricas v1.13.0, esquema v0.11.0 — metodología completa · wiki de métricas.

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