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.dev20230113.tar.gz (9.0 MB view details)

Uploaded Source

Built Distribution

streamlit_nightly-1.17.1.dev20230113-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.dev20230113.tar.gz.

File metadata

File hashes

Hashes for streamlit-nightly-1.17.1.dev20230113.tar.gz
Algorithm Hash digest
SHA256 fb1ac154eaae9fef229e081488c9ad58a76e2a60ba057305e51927039bfd2a4f
MD5 4369bf198236fedd9f5d9d9c3035b2ca
BLAKE2b-256 1e64d07cf997cd8f46e5f8365142473ed23fcca3aad6228550a7799f37a30ae2

See more details on using hashes here.

File details

Details for the file streamlit_nightly-1.17.1.dev20230113-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_nightly-1.17.1.dev20230113-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 a5e5e631a8116c3fbecd924b5d917ae3bd22c8ce86502cb75ebbac594ee8d1ae
MD5 b5ee02242a33b31bbb8665ed3d1974f3
BLAKE2b-256 a5e7def24cae4bac13a879ad54d093134622fff9119b465cfc5a3014a5c671ec

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