Get started
This Get Started guide explains how Streamlit works, how to install Streamlit on your preferred operating system, and how to create your first Streamlit app!
Main concepts introduces you to Streamlit's data model and development flow. 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 computation, and define themes.
Installation helps you set up your virtual environment and walks you through installing Streamlit on Windows, macOS, and Linux. Regardless of which package management tool and OS you're using, we recommend running the commands on this page in a virtual environment.
Create an app using Streamlit's core features to fetch and cache data, draw charts, plot information on a map, and use interactive widgets, like a slider, to filter results.