Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver interactive data apps – in only a few lines of code.

You'll learn what makes Streamlit the most powerful way to build data apps, including the ability to display and style data, draw charts and maps, add interactive widgets, customize app layouts, …

Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code. Build and deploy powerful data apps in …

The easiest way to learn how to use Streamlit is to try things out yourself. As you read through this guide, test each method. As long as your app is running, every time you add a new …

Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver interactive data apps – in only a few lines of code.

Jul 23, 2024 · Streamlit is revolutionizing the way we build and share data applications. Its speed, intuitive syntax, and seamless composability make it an invaluable tool for anyone working …

Build simple apps and walk through examples to learn about Streamlit's core features and execution model. Create multipage apps When you're done developing your app, see our …

Learn the fundamental concepts of Streamlit. How is a Streamlit app structured? How does it run? How does it magically get your data on a webpage? description. Advanced concepts. After you …

Streamlit's architecture allows you to write apps the same way you write plain Python scripts. To unlock this, Streamlit apps have a unique data flow: any time something must be updated on …

Bring together Streamlit's architecture and execution model to design your app. Work with Streamlit commands to render dynamic and interactic content for your users. Learn how to …