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!


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


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!


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.


App testing

Introducing a new testing framework for Streamlit apps! Build automated tests for your CI workflows.


st.connection is deexperimentalized!

Announcing the general availability of st.connection, a command to conveniently manage connections in Streamlit apps.


SnowparkConnection has been upgraded!

SnowflakeConnection has all the same great functionality plus more!


Dataframe toolbars

st.dataframeand st.data_editor have a new toolbar! Users can search and download data in addition to enjoying improved UI for row additions and deletions.


Scatter chart

Introducing st.scatter_chart — a new, simple chart element to build scatter charts Streamlit-y fast and easy!


Link button

Introducing st.link_button! Open an external link in a new tab with a bit more pizazz than a plain-text link.

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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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