Declarative widgets
Buttons, uploads, sliders, and charts each take one function call.
Open source · Data apps
Streamlit
Streamlit watches your script. Widgets become inputs and each rerun redraws the page, keeping the programming model simple.
- GitHub stars
- 45.7K
- Language
- Python
- License
- Apache-2.0
- Runs on
- Python 3.9+
01
/ 03What it is
From script to shareable app, without frontend code.
Streamlit watches your script. Widgets become inputs and each rerun redraws the page, keeping the programming model simple.
Reruns on change
Inputs rerun the script, keeping state management understandable.
Easy to share
The same file runs locally, on a server, or in Community Cloud.
02
/ 03Capabilities
Everything a strong demo needs.
Build interfaces entirely in Python.
Inputs and layout
Buttons, tabs, columns, sidebars, and uploads in pure Python.
Charts and dataframes
Render pandas data and interactive charts with one call.
Chat interfaces
Built-in chat primitives are ideal for LLM demos and assistants.
03
/ 03How to use
Install, write a script, and run.
A small Python file is enough for the first app.
01
Install Streamlit
The package includes the streamlit command.
terminal
pip install streamlit02
Run an app
Create a file, then launch its development server.
app.py
import streamlit as st
st.title("Hello, Streamlit")
name = st.text_input("Your name")
if name:
st.write(f"Hi {name}!")
# terminal: streamlit run app.pyKeep exploring
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