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-1.15.0.tar.gz (8.9 MB view details)

Uploaded Source

Built Distribution

streamlit-1.15.0-py2.py3-none-any.whl (9.2 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file streamlit-1.15.0.tar.gz.

File metadata

  • Download URL: streamlit-1.15.0.tar.gz
  • Upload date:
  • Size: 8.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for streamlit-1.15.0.tar.gz
Algorithm Hash digest
SHA256 7738a0050fdde8226635b443a488895d5223fe5f6524575586fb1faf835ed1b6
MD5 461239f88ae6947bc39bbf4722445fe9
BLAKE2b-256 06ed6b683eefe88782e38d32da2d749667b743cc81fa15a56d5317922ca464ee

See more details on using hashes here.

File details

Details for the file streamlit-1.15.0-py2.py3-none-any.whl.

File metadata

  • Download URL: streamlit-1.15.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 9.2 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for streamlit-1.15.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 42d06bdc835607008169bf85ce6bf3ae31a3c155470bc342113f70b5155e55b7
MD5 8e7cd169021e06059c943b4317ccde96
BLAKE2b-256 2f031d3c67ff6ef11ff1f0ad28f026edca7842f8bc7a516b7b7fcf422f947395

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