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!

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

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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.

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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!

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

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Row and column selections

Get row and column selections from users to make your dataframes even more interactive.

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Chart selections

Make your charts more dynamic by using point selections in Plotly, Altair, and Vega-Lite charts.

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App logos

Add a logo to your app with st.logo.

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Google Material Symbols

st.page_link now supports Material Symbols as a page icon.

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Modal dialogs

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

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Markdown support for text highlighting

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

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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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