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.dev20230207.tar.gz (9.2 MB view details)

Uploaded Source

Built Distribution

streamlit_nightly-1.17.1.dev20230207-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.dev20230207.tar.gz.

File metadata

File hashes

Hashes for streamlit-nightly-1.17.1.dev20230207.tar.gz
Algorithm Hash digest
SHA256 2876a9b3963aac861b28790d52db60962e0437cc88c63d81d1e20194269a9e78
MD5 0838039140db955345822115de8f7f66
BLAKE2b-256 36e0d67b9482f863a9091083305990460fdcad119faab39cf0313a376c9c993d

See more details on using hashes here.

File details

Details for the file streamlit_nightly-1.17.1.dev20230207-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_nightly-1.17.1.dev20230207-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 1f2ca0a457cb5d2e177846dc6ed0efce5cf691fd94008a3d82f07fbab1227e56
MD5 c9c57800479bd97d19d44c8cfe88a89e
BLAKE2b-256 cde630d4636f672f42a090c2cc6374ef57e2beae51580fd4ef708d833d6a5e6d

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