aws-lambda-powertools

PyPI v3.27.0

4,787,223 weekly downloads · MIT · 2 Dependencies

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Summary

Powertools for AWS Lambda (Python) is a developer toolkit to implement Serverless best practices and increase developer velocity.

Install pip install aws-lambda-powertools

Registry values

Reproduced verbatim from the official registry, with the source named on each value.

Weekly downloads 4,787,223 Source: PyPI (Python Package Index)
Releases 523 Last release: 2026-04-06 Source: PyPI (Python Package Index)
Dependencies 2 Source: PyPI (Python Package Index)

Description

Powertools for AWS Lambda (Python) is a developer toolkit to implement Serverless best practices and increase developer velocity.

Registry-supplied description, cleaned to plain text. Source: PyPI (Python Package Index).

Package details

Package
aws-lambda-powertools
Registry
PyPI
Version
3.27.0
Weekly downloads
4,787,223 (weekly)
License
MIT
Dependencies
2: jmespath, typing-extensions
Releases
523
Last release
2026-04-06
First published
2019-11-16
Keywords
aws_lambda_powertools, aws, tracing, logging, lambda, powertools, feature_flags, idempotency, middleware
Repository
https://github.com/aws-powertools/powertools-lambda-python

Why a field shows "—": A dash means the value is not published by the source registry for that package. Quanteta never fills in a guessed value — a missing field stays blank.

Derived indices (computation method published)

Quanteta-computed from the registry values below. This is a derived index, not a measured registry metric. See the formula on the Data & Sources page.

Q-Vitality Quanteta 41.2 / 100 Maintenance activity index (release cadence + download level).
Q-Trust Quanteta 8.2 / 100 Adoption / stability index (community size + download stability + age).
Q-Risk Quanteta 32.4 / 100 Dependency-surface index. Higher = more risk factors detected.

Data & Sources