Dec 27, 2015 · 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.

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.

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, cache …

Learn the fundamental concepts of Streamlit including data flow, widgets, layout, and the development workflow for building interactive apps.

After you understand the rerun logic of Streamlit, learn how to make efficient and dynamic apps with caching and Session State. Get introduced to handling database connections.

Complete development resources for building beautiful, performant web apps with Streamlit including concepts, API reference, tutorials, and quick references.

Explore step-by-step tutorials for building Streamlit apps including authentication, database connections, data visualization, and advanced features.

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.

Learn how to install Streamlit with comprehensive guides to use pip, conda, Anaconda Distribution, cloud environments, and command line tools.

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.