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!

description

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

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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!

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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.

How to build your own Streamlit component

Learn how to make a component from scratch!

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Make dynamic filters in Streamlit and show their effects on the original dataset

Quickly and easily add dynamic filters to your Streamlit app

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Auto-generate a dataframe filtering UI in Streamlit with filter_dataframe!

Learn how to add a UI to any dataframe

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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