A faster way to build and share data apps.
Streamlit lets you turn data scripts into shareable web apps in minutes, not weeks. It’s all Python, open-source, and free! And once you’ve created an app you can use our Community Cloud platform to deploy, manage, and share your app.
Open a terminal and run:
$ pip install streamlit
$ streamlit hello
If this opens our sweet Streamlit Hello app in your browser, you're all set! If not, head over to our docs for specific installs.
The app features a bunch of examples of what you can do with Streamlit. Jump to the quickstart section to understand how that all works.
Create a new file streamlit_app.py
with the following code:
import streamlit as st
x = st.slider("Select a value")
st.write(x, "squared is", x * x)
Now run it to open the app!
$ streamlit run streamlit_app.py
Streamlit comes in with a ton of additional powerful elements to spice up your data apps and delight your viewers. Some examples:
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Input widgets | Dataframes | Charts | Layout | Multi-page apps | Fun |
Our vibrant creators community also extends Streamlit capabilities using 🧩 Streamlit Components.
There's so much you can build with Streamlit:
- 🧬 Science & technology apps
- 💬 NLP & language apps
- 👀 Computer vision apps
- 🏦 Finance & business apps
- 🗺 Geography & society apps
- and more!
Check out our gallery! 🎈
Deploy, manage and share your apps for free using our Community Cloud! Sign-up here.
- Streamlit docs, community forum and blog.
- Extend Streamlit's capabilities by installing or creating your own Streamlit Components.
- Help others find and play with your app by using the Streamlit GitHub badge in your repository:
[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](URL_TO_YOUR_APP)
Streamlit is completely free and open-source and licensed under the Apache 2.0 license.