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!

description

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.

cloud

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.

integration_instructions

ASGI entry point & Starlette support

Streamlit supports an experimental ASGI entry point with Starlette for custom HTTP routes, middleware, and FastAPI integration.

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Session-scoped caching

st.cache_data and st.cache_resource can now be scoped to a session for per-user caching.

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Configurable sidebar width

Set the default width of the sidebar with st.set_page_config.

security

Access OIDC tokens

Expose OIDC ID and access tokens in st.user.tokens for advanced auth workflows.

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Caller's rights connections

Create session-scoped caller's rights connections in Streamlit in Snowflake and Snowpark Container Services.

edit

Granular row editing

Configure st.data_editor to allow only adding or only deleting rows.

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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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