Componentpedia / Listings / aws-lambda-powertools

Last update: 02/04/2026

aws-lambda-powertools

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

Latest version: 3.26.0 registry icon
Maintenance score
100
Safety score
100
Popularity score
98
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Stability
Latest release:

3.26.0 - This version is safe to use because it has no known security vulnerabilities at this time. Find out if your coding project uses this component and get notified of any reported security vulnerabilities with Meterian-X Open Source Security Platform

Licensing

Maintain your licence declarations and avoid unwanted licences to protect your IP the way you intended.

MIT   -   MIT License

Not a wildcard

Not proprietary

OSI Compliant

Powertools for AWS Lambda (Python)

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

Also available in Java, TypeScript, and .NET.

� Doccumentation | 🐍 PyPi | 🗺️ Roadmap | 📰 Blog

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Features

Core utilities such as Tracing, Logging, Metrics, and Event Handler are available across all Powertools for AWS Lambda languages. Additional utilities are subjective to each language ecosystem and customer demand.

  • Tracing - Decorators and utilities to trace Lambda function handlers, and both synchronous and asynchronous functions
  • Logging - Structured logging made easier, and target to enrich structured logging with key Lambda context details
  • Metrics - Custom Metrics created asynchronously via CloudWatch Embedded Metric Format (EMF)
  • Event handler: AppSync - AppSync event handler for Lambda Direct Resolver and Amplify GraphQL Transformer function
  • Event handler: AppSync Events - AppSync Events handler for real-time WebSocket APIs with pub/sub pattern
  • Event handler: API Gateway, ALB, Lambda Function URL, VPC Lattice - REST/HTTP API event handler for Lambda functions invoked via Amazon API Gateway, ALB, Lambda Function URL, and VPC Lattice
  • Event handler: Agents for Amazon Bedrock - Create Agents for Amazon Bedrock, automatically generating OpenAPI schemas
  • Middleware factory - Decorator factory to create your own middleware to run logic before, and after each Lambda invocation
  • Parameters - Retrieve and cache parameter values from Parameter Store, Secrets Manager, AppConfig, or DynamoDB
  • Batch processing - Handle partial failures for AWS SQS, Kinesis Data Streams, and DynamoDB Streams batch processing
  • Typing - Static typing classes to speedup development in your IDE
  • Validation - JSON Schema validator for inbound events and responses
  • Event source data classes - Data classes describing the schema of common Lambda event triggers
  • Parser - Data parsing and deep validation using Pydantic
  • Idempotency - Convert your Lambda functions into idempotent operations which are safe to retry
  • Data Masking - Protect confidential data with easy removal or encryption
  • Feature Flags - A simple rule engine to evaluate when one or multiple features should be enabled depending on the input
  • Streaming - Streams datasets larger than the available memory as streaming data
  • Kafka - Deserialize and validate Kafka events with support for Avro, Protocol Buffers, and JSON Schema
  • JMESPath Functions - Built-in JMESPath functions to easily deserialize common encoded JSON payloads in Lambda functions

Installation

With pip installed, run: pip install aws-lambda-powertools

Tutorial and Examples

How to support Powertools for AWS Lambda (Python)?

Becoming a reference customer

Knowing which companies are using this library is important to help prioritize the project internally. If your company is using Powertools for AWS Lambda (Python), you can request to have your name and logo added to the README file by raising a Support Powertools for AWS Lambda (Python) (become a reference) issue.

The following companies, among others, use Powertools:

Sharing your work

Share what you did with Powertools for AWS Lambda (Python) 💞💞. Blog post, workshops, presentation, sample apps and others. Check out what the community has already shared about Powertools for AWS Lambda (Python) in this link.

Using Lambda Layer or SAR

This helps us understand who uses Powertools for AWS Lambda (Python) in a non-intrusive way, and helps us gain future investments for other Powertools for AWS Lambda languages. When using Layers, you can add Powertools for AWS Lambda (Python) as a dev dependency (or as part of your virtual env) to not impact the development process.

Credits

Connect

Security disclosures

If you think you’ve found a potential security issue, please do not post it in the Issues. Instead, please follow the instructions in this link or email AWS security directly.

License

This library is licensed under the MIT-0 License. See the LICENSE file.