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!
How to use our docs
Get started with Streamlit! Set up your development environment and learn the fundamental concepts, and start coding!
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.
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!
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
Add borders to columns and metrics
st.columns and st.metric have a newborder parameter to show an optional border.
Primary color in Markdown
Now you can use the color "primary" in Markdown to color or highlight text with your app's primary color.
push_pinPin or freeze dataframe columns
Column configuration has a new pinned parameter to pin columns on the left as users scroll horizontally.
Tertiary buttons
Buttons have a new, "tertiary" type for a more subtle appearance.
more_horizPills
You can create a single- or multi-select group of pill-buttons.
view_weekSegmented control
You can create a segmented button or button group.
Latest blog posts
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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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