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 minutes.

The goal is to use Streamlit to create an interactive app for your data or model and along the way to use Streamlit to review, debug, perfect, and share your code.

Use core features to work with Streamlit's execution model Build simple apps and walk through examples to learn about Streamlit's core features and execution model.

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 …

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.

Develop Get all the information you need to build beautiful, performant web apps with Streamlit! book Concepts. Learn how Streamlit works with in-depth guides to our execution model and …

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 …

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.