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.dev20230208.tar.gz (9.2 MB view details)

Uploaded Source

Built Distribution

streamlit_nightly-1.17.1.dev20230208-py2.py3-none-any.whl (9.6 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file streamlit-nightly-1.17.1.dev20230208.tar.gz.

File metadata

File hashes

Hashes for streamlit-nightly-1.17.1.dev20230208.tar.gz
Algorithm Hash digest
SHA256 31c243802532c207a5b5668d444effd3e9d0c3d4d3026336722c99fa17dfd0ea
MD5 2ef92ab46e1e866e260ff27563b5e913
BLAKE2b-256 292e14f4c837ef025a2f62892b22cbd4b558db9b25bad4c0cbe4e20df5a3a3bb

See more details on using hashes here.

File details

Details for the file streamlit_nightly-1.17.1.dev20230208-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_nightly-1.17.1.dev20230208-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 4fdf1e614513ae60c7c1ff84fed7be6396d017841ce91bd774fbe17d450074a5
MD5 66d4321abc29c32156d939f7151050a3
BLAKE2b-256 4641df1e5bb82feb2161e915e4de4d9ca4d99931ba62ac628c2129aa7b25cfdb

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