Skip to main content

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

Project description

Powertools for AWS Lambda (Python)

Build codecov.io PythonSupport PyPI version PyPi monthly downloads OpenSSF Scorecard Join our Discord

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.

📜Documentation | 🐍PyPi | Roadmap | Detailed blog post

hero-image

Features

  • 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)
  • Event handler: AppSync - AWS AppSync event handler for Lambda Direct Resolver and Amplify GraphQL Transformer function
  • Event handler: API Gateway and ALB - Amazon API Gateway REST/HTTP API and ALB event handler for Lambda functions invoked using Proxy integration
  • Event handler: Agents for Amazon Bedrock - Create Agents for Amazon Bedrock, automatically generating OpenAPI schemas
  • 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
  • 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.

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) here.

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 here or email AWS security directly.

License

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aws_lambda_powertools-3.3.1a6.tar.gz (650.1 kB view details)

Uploaded Source

Built Distribution

aws_lambda_powertools-3.3.1a6-py3-none-any.whl (764.8 kB view details)

Uploaded Python 3

File details

Details for the file aws_lambda_powertools-3.3.1a6.tar.gz.

File metadata

File hashes

Hashes for aws_lambda_powertools-3.3.1a6.tar.gz
Algorithm Hash digest
SHA256 f2658fbdcebbf4c342318498be483e14d00d05cd80be3a399d7e95ae522c291d
MD5 423fcb709dbab449b6649931bd1736cf
BLAKE2b-256 30137c49993673fa30399a111ad1d5b7698407e4ec4f25713e463080d35d8590

See more details on using hashes here.

Provenance

The following attestation bundles were made for aws_lambda_powertools-3.3.1a6.tar.gz:

Publisher: pre-release.yml on aws-powertools/powertools-lambda-python

Attestations:

File details

Details for the file aws_lambda_powertools-3.3.1a6-py3-none-any.whl.

File metadata

File hashes

Hashes for aws_lambda_powertools-3.3.1a6-py3-none-any.whl
Algorithm Hash digest
SHA256 938c810b7f1a744af972095f803df36de6da0ca785e53035f3f1e7b75be96537
MD5 223dee7bdade1c3e13946ffa2723d59d
BLAKE2b-256 459dad0e968fc44a6c36d9d3c449ad5404d0792b93304d423c57ffcbc2c6c00b

See more details on using hashes here.

Provenance

The following attestation bundles were made for aws_lambda_powertools-3.3.1a6-py3-none-any.whl:

Publisher: pre-release.yml on aws-powertools/powertools-lambda-python

Attestations:

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page