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.

Looking to deploy at work? Try Streamlit in Snowflake. You can code in the browser, collaborate with Git, and deploy in one click. With the security and reliability of Snowflake.

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, …

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

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.

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.

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

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.