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!
If you're new to Streamlit and don't know where to start, this is a good place.
Learn about our APIs, with actionable explanations of specific functions and features.
How to use our docs
Streamlit library includes our Get started guide, API reference, and more advanced features of the core library including caching, theming, and Streamlit Components.
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.
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.
Wissam Siblini uses Streamlit for pathology detection in chest radiographs
Learn how Wissam detected thoracic pathologies in medical images.Next: Read More
The Stable solves its data scalability problem with Streamlit
How Mark von Oven of The Stable helped his Analytics team go from idea to app in just a few days.Next: Read More
How to build a real-time live dashboard with Streamlit
5 easy steps to make your own data dashboard.Next: Read More
You can now upload images to your apps straight from your camera with the new st.camera_input feature. It's great for computer vision apps.
Sign in with email
You can now sign in to Streamlit Cloud by using an email! Read more about how to use this feature in our docs.
Streamlit Cloud supports a 'favorite' feature that lets you quickly access your apps from the app dashboard. Favorited apps appear with a yellow star ⭐ beside them.
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!