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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User authentication

Authenticate users with an OpenID Connect provider.

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Markdown in tables

st.table supports Markdown text in all cells, headers, and indices.

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Dataframe improvements

Users can sort and pin columns. Rows are highlighted on hover.

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Spinner elapsed time

st.spinner can optionally show elapsed time with the new parameter show_time.

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Markdown image captions

st.image supports Markdown text incaption.

height

Code height

You can set the height of st.code with the new parameter height.

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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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