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README
Welcome to Streamlit 👋
A faster way to build and share data apps.
What is Streamlit?
Streamlit lets you transform Python scripts into interactive web apps in minutes, instead of weeks. Build dashboards, generate reports, or create chat apps. Once you’ve created an app, you can use our Community Cloud platform to deploy, manage, and share your app.
Why choose Streamlit?
- Simple and Pythonic: Write beautiful, easy-to-read code.
- Fast, interactive prototyping: Let others interact with your data and provide feedback quickly.
- Live editing: See your app update instantly as you edit your script.
- Open-source and free: Join a vibrant community and contribute to Streamlit's future.
Installation
Open a terminal and run:
bash
$ 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.
Quickstart
A little example
Create a new file named streamlit_app.py in your project directory with the following code:
python
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
Give me more!
Streamlit comes in with a ton of additional powerful elements to spice up your data apps and delight your viewers. Some examples:
Input widgets
Dataframes
Charts
Layout
Multi-page apps
Fun
Our vibrant creators community also extends Streamlit capabilities using 🧩 Streamlit Components.
Get inspired
There's so much you can build with Streamlit:
- 🤖 LLMs & chatbot apps
- 🧬 Science & technology apps
- 💬 NLP & language apps
- 🏦 Finance & business apps
- 🗺 Geography & society apps
- and more!
Check out our gallery! 🎈
Community Cloud
Deploy, manage and share your apps for free using our Community Cloud! Sign-up here.
Resources
- Explore our docs to learn how Streamlit works.
- Ask questions and get help in our community forum.
- Read our blog for tips from developers and creators.
- 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:
markdown
Contribute
🎉 Thanks for your interest in helping improve Streamlit! 🎉
We have paused accepting pull requests from outside the Streamlit maintainer team. You can still
make a valuable contribution by reporting bugs,
requesting features,
improving or upvoting existing issues,
commenting on open specs, creating
custom components,
and contributing to streamlit-extras.
Read our contribution guTop issues
#904Let file_uploader return path, instead of reading the file in89 comments · 2020-01-01#19802nd Sidebar (on right side)68 comments · 2020-09-08#611Export to standalone HTML file65 comments · 2019-11-03#1370Make Streamlit easy to deploy as a standalone executable (e.g. PyInstaller, Electron)38 comments · 2020-04-21#4173st.file_uploader returns HTTP code 400 with invalid session_id when deployed on Kubernetes36 comments · 2021-12-14#1326Improve "missing ScriptRunContext" threading error34 comments · 2020-04-08#5370Display multiindex dataframe as “sparsified” table32 comments · 2022-09-19#2820Duplication of ghost app elements 30 comments · 2021-02-19
Latest release
1.67.0 1.67.0 2026-11-05What's Changed New Features 🎉 [feature] Update default light and dark named theme colors by @mayagbarnes in https://github.com/streamlit/streamlit/pull/17450 [feature] Add required parameter to st.date_input by @lukasmasuch in https://github.com/streamlit/streamlit/pull/17165 [feature] Allow a pixel width on st.dialog by @lukasmasuch in https://github.com/streamlit/streamlit/pull/17412 [feature] Update default theme surfaces and sidebar fallback by @mayagbarnes in https://github.com/streamlit/streamlit/pull/17467 [feature] Use theme primary for st.map default markers by @mayagbarnes in h