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.


Singleton cache validation

@st.experimental_singleton supports an optionalvalidate parameter that accepts a validation function for cached data and is called each time the cached value is accessed.


Colored text support in Markdown

Streamlit now supports colored text in all commands that accept Markdown, including st.markdown, st.header, and more! Click to read the documentation.


Snowpark and PySpark support

All Streamlit commands that accept pandas DataFrames as input also support Snowpark and PySpark DataFrames.


Streamlit theme for Plotly & Altair

1.16.0 includes a new default theme for Altair and Plotly charts in Streamlit apps through the theme="streamlit"keyword argument in st.altair_chart, st.vega_lite_chart, and st.plotly_chart.


Markdown in widget labels

Widget labels can contain inline Markdown. Click to check out the demo app and see how it works.


Widget label visibility

All widgets and commands that support the labelparameter can customize how to hide their labels with thelabel_visibility parameter. Click to see an example!

Create a color palette from any image

Learn how to come up with the perfect colors for your data visualization

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How to make a culture map

Analyze multidimensional data with Steamlit!

Next: Read More

Build an image background remover in Streamlit

Skip the fees and do it for free! 🎈

Next: Read More
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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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