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.


Skip local installation and code in the cloud!

Streamlit Community Cloud makes it easy to spin up a GitHub Codespace to start building and editing Streamlit apps &mdahs; all in the cloud!


Status container

Introducing st.status to display output from long-running processes and external API calls


Toggle switch

Introducing st.toggle — an alternative tost.checkbox when you need an on/off switch.


Color parameter for simple charts

Set the series color in st.line_chart,st.bar_chart, and st.area_chartwith a new color parameter.


More colors in markdown

Enjoy more ways to color your text with gray/grey and rainbow options wherever color in markdown is supported.


Colored header dividers

Add colored dividers to st.header andst.subheader. Dividers can be blue, green, orange, red, violet, gray/grey, or rainbow!

View all updates

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!

View forum

Other Media