Streamlit: Build interactive data apps in Python
Python framework for reactive data web applications.
Learn more about Streamlit
import streamlit as st\nst.title('Hello World')\nst.write('My first app')
Script-based architecture
Streamlit apps are written as linear Python scripts rather than requiring a separate frontend framework or client-server architecture. The framework handles re-execution and state management automatically when users interact with widgets.
Live editing workflow
Changes to the Python script are reflected in the browser immediately through file watching and hot reloading. This allows developers to iterate on app logic and UI simultaneously without manual restart cycles.
Integrated deployment platform
Community Cloud provides a managed hosting option specifically designed for Streamlit apps, handling deployment, scaling, and sharing without requiring separate infrastructure configuration or DevOps setup.
import streamlit as st
import pandas as pd
st.title('Sales Dashboard')
st.write('Welcome to the dashboard')
data = pd.DataFrame({
'product': ['A', 'B', 'C'],
'sales': [100, 250, 175]
})
st.dataframe(data)See how people are using Streamlit
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