Jupyter on AWS
A secure, scalable, and collaborative Jupyter experience on AWS
Move from interactive exploration to production.
Fully managed deployment of Jupyter with security, reliability, and scale.
Connect and use AWS services from anywhere Jupyter runs.
Customize Jupyter with open-source extensions
Use cases
Generative AI
Build applications faster and more securely with Amazon CodeWhisperer on JupyterLab and Jupyter Notebooks.
Machine Learning
Query, prepare, and transform data at scale. Build, train, and deploy ML models with Jupyter using Amazon SageMaker Studio.
Teach and learn
Use Jupyter to teach or learn programming, machine learning, data science, and scientific computing.
How to get started
Explore more about Jupyter
Check out the global team building open source Jupyter projects for users anywhere.
Learn ML with Amazon SageMaker Studio Lab
Learn and experiment with Jupyter for ML using a no-setup, free development environment.
Scale ML workflows with Amazon SageMaker Studio
Run end-to-end ML development workflow with access to the most comprehensive set of tools in a single web-based visual interface.