Skip to main content

The fastest way to build data apps in Python

Project description


Streamlit logo

Welcome to Streamlit 👋

A faster 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.

Installation

Open a terminal and run:

$ pip install streamlit
$ streamlit hello

If this opens our sweet Streamlit Hello app in your browser, you're all set! If not, head over to our docs for specific installs.

The app features a bunch of examples of what you can do with Streamlit. Jump to the quickstart section to understand how that all works.

Streamlit Hello

Quickstart

A little example

Create a new file streamlit_app.py with the following code:

import streamlit as st
x = st.slider("Select a value")
st.write(x, "squared is", x * x)

Now run it to open the app!

$ streamlit run streamlit_app.py

Little example

Give me more!

Streamlit comes in with a ton of additional powerful elements to spice up your data apps and delight your viewers. Some examples:

Input widgets Dataframes Charts Layout Multi-page apps Fun

Our vibrant creators community also extends Streamlit capabilities using  🧩 Streamlit Components.

Get inspired

There's so much you can build with Streamlit:

Check out our gallery! 🎈

Community Cloud

Deploy, manage and share your apps for free using our Community Cloud! Sign-up here.

Resources

  • Streamlit docs, community forum and blog.
  • Extend Streamlit's capabilities by installing or creating your own Streamlit Components.
  • Help others find and play with your app by using the Streamlit GitHub badge in your repository:
[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](URL_TO_YOUR_APP)

Streamlit App

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-1.19.1.dev20230227.tar.gz (9.3 MB view details)

Uploaded Source

Built Distribution

streamlit_nightly-1.19.1.dev20230227-py2.py3-none-any.whl (9.6 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file streamlit-nightly-1.19.1.dev20230227.tar.gz.

File metadata

File hashes

Hashes for streamlit-nightly-1.19.1.dev20230227.tar.gz
Algorithm Hash digest
SHA256 ca60ac5b8de3df9778b9960f60c92d3c649db7bd0f07b297721847cd68c3f871
MD5 0da0b7d67f4c34c6991a2dc466cfd16f
BLAKE2b-256 b1c96d71378a5c4558aac9589d5fa06402bbcdcb0b05bfb1804bbb2022586f72

See more details on using hashes here.

File details

Details for the file streamlit_nightly-1.19.1.dev20230227-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_nightly-1.19.1.dev20230227-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 0ac18759dbbf56aca583aa91c1efca8fcb3e23c48a7363816fc1639b07a3254b
MD5 2904004862a62779907eb01665ffc1a1
BLAKE2b-256 e709840cec4de9e68cd68575a24a6807b0a341acffe250de677e6b1c36b65ded

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