Streamlit documentation

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. Let's get started!


Get started with Streamlit! Set up your development environment and learn the fundamental concepts, and start coding!


Develop your Streamlit app! Our API reference explains each Streamlit function with examples. Dive deep into all of our features with conceptual guides. Try out our step-by-step tutorials.


Deploy your Streamlit app! Streamlit Community Cloud our free platform for deploying and sharing Streamlit apps. Streamlit in Snowflake is an enterprise-class solution where you can house your data and apps in one, unified, global system. Explore all your options!


Knowledge base is a self-serve library of tips, tricks, and articles that answer your questions about creating and deploying Streamlit apps.


Modal dialogs

Introducing st.experimental_dialog to create modal dialogs that can rerun independently from the rest of your app.


Google Material Symbols

st.toast, st.chat_message, and alert messages now support Material Symbols for their icons.


Markdown support for text highlighting

You can set the background color for you text in markdown.


Media autoplay

You can enable autoplay for You can also mute videos.


Clear specific cached values

When clearing cached values for a function, you can now pass function arguments to clear a specific cached value.



You can now set all query parameters with a single command.

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Join the community

Streamlit is more than just a way to make data apps, it's also a community of creators that share their apps and ideas and help each other make their work better. Please come join us on the community forum. We love to hear your questions, ideas, and help you work through your bugs — stop by today!

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