awslabs

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.

Fast and Accurate ML in 3 Lines of Code

An integrated shell for working with the AWS CLI.

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM

AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.

A simple, high-throughput file client for mounting an Amazon S3 bucket as a local file system.

Run Express and other Node.js frameworks on AWS Serverless technologies such as Lambda, API Gateway, Lambda@Edge, and more.

Probabilistic time series modeling in Python

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

AWS SDK for the Rust Programming Language

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

A library to display an interactive editor for any graph-like data.

Hands on labs and code to help you learn, measure, and build using architectural best practices.

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

A Java wrapper to run Spring, Spring Boot, Jersey, and other apps inside AWS Lambda.

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

Diagram-as-code for AWS architecture.

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

This repository has samples that demonstrate various aspects of the AWS SDK for iOS, you can get the SDK source on Github https://github.com/aws-amplify/aws-sdk-ios/

This repository has samples that demonstrate various aspects of the AWS SDK for Android, you can get the SDK source on Github https://github.com/aws-amplify/aws-sdk-android/

PlantUML sprites, macros, and other includes for Amazon Web Services services and resources

Multi Model Server is a tool for serving neural net models for inference

JavaScript library files for Offline, Sync, Sigv4. includes support for React Native

CLI for AWS Fargate

ECS Reference Architecture for creating a flexible and scalable deployment pipeline to Amazon ECS using AWS CodePipeline

GoFormation is a Go library for working with CloudFormation templates.

Workload Discovery on AWS is a solution to visualize AWS Cloud workloads. With it you can build, customize, and share architecture diagrams of your workloads based on live data from AWS. The solution maintains an inventory of the AWS resources across your accounts and regions, mapping their relationships and displaying them in the user interface.