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!

Setup and installation

Get set up to start working with Streamlit.

API reference

Learn about our APIs, with actionable explanations of specific functions and features.

App gallery

Try out awesome apps created by our users, and curated from our forums or Twitter.

How to use our docs

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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.

What's new

Parallel fragments

Set parallel=True on st.fragment to run independent fragments concurrently during full-app reruns.

Background cache refresh

Refresh expired cached values in the background while your app continues serving the previous value.

ButtonColumn

Add clickable buttons to st.dataframe and st.data_editor to trigger actions from a row.

Advanced app configuration

Use st.App to configure custom HTTP routes, middleware, lifecycle hooks, and ASGI integrations.

Lazy-loading dataframes

Large dataframes load rows on demand, keeping the browser responsive as users scroll or sort.

Dynamic containers

st.tabs, st.expander, and st.popover can track open/closed state and trigger reruns with the on_change parameter.

Latest blog posts

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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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