Streamlit documentation

Streamlit is an open-source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science. In just a few minutes you can build and deploy powerful data apps. So let's get started!

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Get started

If you're new to Streamlit and don't know where to start, this is a good place.

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API reference

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

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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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Streamlit library includes our Get started guide, API reference, and more advanced features of the core library including caching, theming, and Streamlit Components.

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Streamlit Community Cloud is an open and free platform for the community to deploy, discover, and share Streamlit apps and code with each other. Create a new app, share it with the community, get feedback, iterate quickly with live code updates, and have an impact!

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

What's new

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Resize dataframes

🗂 st.dataframe supports the use_container_width parameter to stretch across the full container width. Learn more in the docs.

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Zoomable maps

🗺️ st.map adds zoom buttons to the map by default.

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Widget label visibility

🏷 Widgets can customize how to hide their labels with the label_visibility parameter. Click to see an example!

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Built-in charts improvements

📊 Built-in charts (e.g. st.line_chart) get a brand-new look and parameters x and y! Check out our blog post for more information.

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Redesigned status elements

☎️ st.info, st.success, st.error, and st.warning got a redesign and have a new keyword-only parameter: icon

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Replay cached st commands

⏯ Functions cached with st.experimental_memo or st.experimental_singleton can now contain static st commands. This allows caching text, charts, dataframes, and more!

How to build your own Streamlit component

Learn how to make a component from scratch!

Next: Read More

Make dynamic filters in Streamlit and show their effects on the original dataset

Quickly and easily add dynamic filters to your Streamlit app

Next: Read More

Auto-generate a dataframe filtering UI in Streamlit with filter_dataframe!

Learn how to add a UI to any dataframe

Next: Read More
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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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