Streamlit is an open-source Python framework for building interactive web apps. You write pure Python, and Streamlit handles the UI, state, and rendering. No HTML, CSS, or JavaScript required.
It’s commonly used for data dashboards, internal tools, analytics apps, and machine learning demos.
Data teams often struggle to share work beyond notebooks. Streamlit makes it easy to turn experiments into usable apps that non-technical stakeholders can interact with.
You get fast iteration, low maintenance, and a clean path from prototype to production. It’s especially valuable for teams that live in Python and don’t want to build a frontend stack.
You write a Python script using Streamlit’s API (st.write, st.chart, st.dataframe, etc.). When the script runs, Streamlit renders it as a reactive web app. Changes to inputs automatically rerun the app.
