Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver interactive data apps – in only a few lines of code.

Go through our Knowledge Base for tips, step-by-step tutorials, and articles that answer your questions about creating and deploying Streamlit apps. Read more documentation!

Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver interactive data apps – in only a few lines of code.

Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code. Build and deploy powerful data apps in minutes.

You'll learn what makes Streamlit the most powerful way to build data apps, including the ability to display and style data, draw charts and maps, add interactive widgets, customize app layouts, cache …

Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver interactive data apps – in only a few lines of code.

Build your first Streamlit apps with step-by-step tutorials for creating single-page and multi-page applications.

Explore step-by-step tutorials for building Streamlit apps including authentication, database connections, data visualization, and advanced features.

Looking to deploy at work? Try Streamlit in Snowflake. You can code in the browser, collaborate with Git, and deploy in one click. With the security and reliability of Snowflake.

Learn how to install Streamlit with comprehensive guides to use pip, conda, Anaconda Distribution, cloud environments, and command line tools.