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-1.15.2.tar.gz (8.9 MB view details)

Uploaded Source

Built Distribution

streamlit-1.15.2-py2.py3-none-any.whl (9.2 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file streamlit-1.15.2.tar.gz.

File metadata

  • Download URL: streamlit-1.15.2.tar.gz
  • Upload date:
  • Size: 8.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for streamlit-1.15.2.tar.gz
Algorithm Hash digest
SHA256 31b2fa33848f8dbcf526e6c93017cf58c81a8479844c4f6ff553382e1bac6152
MD5 8f35127a09654d5117cad16de4ee3de7
BLAKE2b-256 83dcef888623845f6c60628a36383c9eb164b158166caa2ce4360fdbcfde03fc

See more details on using hashes here.

File details

Details for the file streamlit-1.15.2-py2.py3-none-any.whl.

File metadata

  • Download URL: streamlit-1.15.2-py2.py3-none-any.whl
  • Upload date:
  • Size: 9.2 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for streamlit-1.15.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 40933b64e7b3a1770d798918cbd2ae52a6671a52266ac069f62e1b66f38e0662
MD5 c52fefb1ed6bbebc6ab61f91658187d7
BLAKE2b-256 8797ef59a7415eb136f50e801ddcf889750041ea78481a0b2dc7ddbf5c30596a

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