The fastest way to build data apps in Python
Project description
Welcome to Streamlit :wave:
The fastest 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!
Installation
pip install streamlit
streamlit hello
Streamlit can also be installed in a virtual environment on Windows, Mac, and Linux.
A little example
Streamlit makes it incredibly easy to build interactive apps:
import streamlit as st
x = st.slider('Select a value')
st.write(x, 'squared is', x * x)
A bigger example
Streamlit's simple and focused API lets you build incredibly rich and powerful tools. This demo project lets you browse the entire Udacity self-driving-car dataset and run inference in real-time using the YOLO object detection net.
The complete demo is implemented in less than 300 lines of Python. In fact, the app contains only 23 Streamlit calls which illustrates all the major building blocks of Streamlit. You can try it right now at share.streamlit.io/streamlit/demo-self-driving.
The Streamlit GitHub badge
Streamlit's GitHub badge helps others find and play with your Streamlit app.
Once you deploy your app, you can embed this badge right into your GitHub readme.md as follows:
[](https://share.streamlit.io/yourGitHubName/yourRepo/yourApp/)
More Information
- Our launch post explaining why we created Streamlit
- Our Community Cloud platform announcement
- Our amazing community where Streamlit users share apps, ask questions, and help each other out
- Streamlit documentation and blog for the latest Streamlit info
- More demo projects to inspire you
- And if you would like to contribute, see instructions here
Community Cloud
With Community Cloud you can deploy, manage, and share your apps with the world, directly from Streamlit — all for free. Sign-up here.
License
Streamlit is completely free and open-source and licensed under the Apache 2.0 license.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file streamlit-nightly-1.17.1.dev20230116.tar.gz.
File metadata
- Download URL: streamlit-nightly-1.17.1.dev20230116.tar.gz
- Upload date:
- Size: 9.0 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 333809b92ca8d21d715a02b0b12dfbc595fe2103751375c4bbb6d188604f64d0 |
|
| MD5 | 90b9e0118a1640aff7ca9d85606c14b4 |
|
| BLAKE2b-256 | 5519bc239e30d6d52f4b777277562c63650c0a5e49f8c0442751bb0a1e8ae8fc |
File details
Details for the file streamlit_nightly-1.17.1.dev20230116-py2.py3-none-any.whl.
File metadata
- Download URL: streamlit_nightly-1.17.1.dev20230116-py2.py3-none-any.whl
- Upload date:
- Size: 9.3 MB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | fd421b12a9e87725f4e77bb3356c40989b15ef94dbc8f3c81a18f9cef24a76da |
|
| MD5 | c70051343acd836f8c719c860e46c318 |
|
| BLAKE2b-256 | eb147f91193b18c26d144778300e5334b2d92672b657449614ea6fa27293a5ee |
