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Python utilities for AWS Lambda functions including but not limited to tracing, logging and custom metric

Project description

AWS Lambda Powertools (Python)

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A suite of Python utilities for AWS Lambda functions to ease adopting best practices such as tracing, structured logging, custom metrics, and more. (AWS Lambda Powertools Java is also available).

📜Documentation | API Docs | 🐍PyPi | Feature request | 🐛Bug Report | Hello world example | Detailed blog post

Join us on the AWS Developers Slack at #lambda-powertools - Invite, if you don't have an account


  • Tracing - Decorators and utilities to trace Lambda function handlers, and both synchronous and asynchronous functions
  • Logging - Structured logging made easier, and decorator to enrich structured logging with key Lambda context details
  • Metrics - Custom Metrics created asynchronously via CloudWatch Embedded Metric Format (EMF)
  • Bring your own middleware - Decorator factory to create your own middleware to run logic before, and after each Lambda invocation
  • Parameters utility - Retrieve and cache parameter values from Parameter Store, Secrets Manager, or DynamoDB
  • Batch processing - Handle partial failures for AWS SQS 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


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




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

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