Skip to main content

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!

Example of live coding an app in Streamlit|635x380

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.

Final App Animation

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.

Streamlit App

Once you deploy your app, you can embed this badge right into your GitHub readme.md as follows:

[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/yourGitHubName/yourRepo/yourApp/)

More Information

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

streamlit-nightly-1.17.1.dev20230122.tar.gz (9.0 MB view details)

Uploaded Source

Built Distribution

streamlit_nightly-1.17.1.dev20230122-py2.py3-none-any.whl (9.3 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file streamlit-nightly-1.17.1.dev20230122.tar.gz.

File metadata

File hashes

Hashes for streamlit-nightly-1.17.1.dev20230122.tar.gz
Algorithm Hash digest
SHA256 5e47c4195e4b8ccdab33be04d80e72f2e471710a5e80036833f2ed4be9374c7c
MD5 fe593c68c03780e4bb93bee0ce228aa9
BLAKE2b-256 63aef6906b17725647b9b8d7de0130206f263ee92180bdb2e41aa5812b78875b

See more details on using hashes here.

File details

Details for the file streamlit_nightly-1.17.1.dev20230122-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_nightly-1.17.1.dev20230122-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 54fdc2f0308182e18a4cddd1ebff7be36add2614b1246e56b2f651f3644bb3d0
MD5 dc11d3d58944b89de4f48e2dc6801519
BLAKE2b-256 bab292a087aeb2f152b9ba0f74777f4e0d457c9d54ceed37022e1e4ce6e2b164

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page