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!

arrow_forward

Get started

If you're new to Streamlit and don't know where to start, this is a good place.

dvr

API reference

Learn about our APIs, with actionable explanations of specific functions and features.

grid_view

App gallery

Try out awesome apps created by our users, and curated from our forums or Twitter.

How to use our docs

description

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

cloud

Streamlit Cloud empowers your data team to directly serve the needs of the rest of the company. Quickly go from data to app, from prototype to production. Share apps in one click and collaborate instantly with live code updates.

school

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.

JULO improves financial inclusion in Indonesia with Streamlit

Learn how JULO went from manual underwriting to automated credit scoring and a 22-member data team.

Next: Read More

Make your st.pyplot interactive!

Learn how to make your pyplot charts interactive in a few simple steps.

Next: Read More

Observing Earth from space with Streamlit

Learn how Samuel Bancroft made the SatSchool app to teach students Earth observation.

Next: Read More

What's new

view_quilt

st.tabs

đź—‚ Introducing st.tabs to have tab containers in your app. Tabs are a navigational element that allows users to easily move between groups of related content.

help

st.metric tooltip

st.metric supports tooltips with the help keyword parameter.

radio_button_checked

Horizontal radio buttons

st.radio has a horizontal keyword-only parameter to display options horizontally.

auto_stories

Multipage apps

Quickly and easily add more pages to your Streamlit apps with native multipage apps support! Click to learn more.

table_chart

Redesigned st.dataframe

st.dataframe now supports column and table resizing, data search, and copy-to-clipboard functionality. Read more in our docs.

settings_suggest

Added support for Python 3.10

Streamlit Cloud supports Python 3.7 - Python 3.10, and defaults to version 3.9. Select a Python version for your app by clicking "Advanced settings" before you deploy the app.

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!

Other Media

Next: Get started