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.

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

In this guide, you're going to use Streamlit's core features to create an interactive app; exploring a public Uber dataset for pickups and drop-offs in New York City.

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.

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 …

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.

Learn to build conversational LLM applications with Streamlit using chat elements, session state, and Python to create ChatGPT-like experiences.

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.

Build your first Streamlit apps with step-by-step tutorials for creating single-page and multi-page applications.