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Powertools for AWS Lambda (Python)

Buildcodecov.ioPythonSupportPyPI versionPyPi monthly downloadsOpenSSF ScorecardDiscord

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) 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.

About

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

docs.powertools.aws.dev/lambda/python/latest/

Resources

Readme
License

Code of conduct

Code of conduct

Contributing

Contributing

Security policy

Security policy
Activity
Custom properties

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

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Repository files navigation
Powertools for AWS Lambda (Python)
Buildcodecov.ioPythonSupportPyPI versionPyPi monthly downloadsOpenSSF ScorecardDiscord
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) 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.
About
A developer toolkit to implement Serverless best practices and increase developer velocity.
docs.powertools.aws.dev/lambda/python/latest/
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
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Repository files navigation
Powertools for AWS Lambda (Python)
Buildcodecov.ioPythonSupportPyPI versionPyPi monthly downloadsOpenSSF ScorecardDiscord
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) 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.
About
A developer toolkit to implement Serverless best practices and increase developer velocity.
docs.powertools.aws.dev/lambda/python/latest/
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
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Contributors
Languages

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Repository files navigation
Powertools for AWS Lambda (Python)
Buildcodecov.ioPythonSupportPyPI versionPyPi monthly downloadsOpenSSF ScorecardDiscord
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) 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.
About
A developer toolkit to implement Serverless best practices and increase developer velocity.
docs.powertools.aws.dev/lambda/python/latest/
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
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'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
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var u = new URL(url, window.location.origin);
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function cleanLinks() {
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if (clean !== a.href) a.href = clean;
});
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})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
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try {
var __m = "youtube.com";
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Powertools for AWS Lambda (Python)
Buildcodecov.ioPythonSupportPyPI versionPyPi monthly downloadsOpenSSF ScorecardDiscord
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) 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.
About
A developer toolkit to implement Serverless best practices and increase developer velocity.
docs.powertools.aws.dev/lambda/python/latest/
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
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, 'i');
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// Auto-enable theater mode on YouTube
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function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
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}
// Try immediately
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if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
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}, 1000);
// Also try on player load
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observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
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try {
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Powertools for AWS Lambda (Python)
Buildcodecov.ioPythonSupportPyPI versionPyPi monthly downloadsOpenSSF ScorecardDiscord
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) 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.
About
A developer toolkit to implement Serverless best practices and increase developer velocity.
docs.powertools.aws.dev/lambda/python/latest/
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
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// Remove or un-stick sticky/fixed headers that block content
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Powertools for AWS Lambda (Python)
Buildcodecov.ioPythonSupportPyPI versionPyPi monthly downloadsOpenSSF ScorecardDiscord
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) 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.
About
A developer toolkit to implement Serverless best practices and increase developer velocity.
docs.powertools.aws.dev/lambda/python/latest/
Resources
Readme
License
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
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, 'i');
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// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
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style.textContent = '
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filter: invert(1) hue-rotate(180deg) !important;
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pre code, pre code * {
filter: none !important;
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filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
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/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
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console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
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} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
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Repository files navigation
Powertools for AWS Lambda (Python)
Buildcodecov.ioPythonSupportPyPI versionPyPi monthly downloadsOpenSSF ScorecardDiscord
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) 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.
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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.
About
A developer toolkit to implement Serverless best practices and increase developer velocity.
docs.powertools.aws.dev/lambda/python/latest/
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