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-1.16.1.dev20230105.tar.gz (9.0 MB view details)

Uploaded Source

Built Distribution

streamlit_nightly-1.16.1.dev20230105-py2.py3-none-any.whl (9.3 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file streamlit-nightly-1.16.1.dev20230105.tar.gz.

File metadata

File hashes

Hashes for streamlit-nightly-1.16.1.dev20230105.tar.gz
Algorithm Hash digest
SHA256 77aa7fc38ce56fd30626e593c44dc75a2833f532a5a6c5da60cafa1cc5698e28
MD5 d67966fa2688ed3cd5ed6a3bf7f3a661
BLAKE2b-256 507cc98dac3463fda990203a6148aebb0d41e1e5313b710a916afaf0fd6ae902

See more details on using hashes here.

File details

Details for the file streamlit_nightly-1.16.1.dev20230105-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_nightly-1.16.1.dev20230105-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 ab69316ffe2e15eac42337530db35d29cfa14181f54c34af1eaeda675d8f28d4
MD5 2d9dec9d4ab5b485b88f08dcb1daedfb
BLAKE2b-256 f8892c23f868f9a6f5a7020f6c6a71b669f7cae813e65922caf30f22e6ade8d9

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