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-1.21.1.dev20230416.tar.gz (9.3 MB view details)

Uploaded Source

Built Distribution

streamlit_nightly-1.21.1.dev20230416-py2.py3-none-any.whl (9.7 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file streamlit-nightly-1.21.1.dev20230416.tar.gz.

File metadata

File hashes

Hashes for streamlit-nightly-1.21.1.dev20230416.tar.gz
Algorithm Hash digest
SHA256 b1eb66e1a38e0f6d3e0e4b4779ba2887e62a3921e24ca983a931a62ae1511b16
MD5 2d67c9b822eb405dc5cbb088d25a4edd
BLAKE2b-256 eb5bd95fc81bcb7a40c8296d31fddd8d277a533a4ecba883d543f5bf1c14b6ce

See more details on using hashes here.

File details

Details for the file streamlit_nightly-1.21.1.dev20230416-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_nightly-1.21.1.dev20230416-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 5b2de7124c772fbeda9add90489208de5cce9e15cac483090f25d922db575643
MD5 d25b9add9b5d50f2243cd446f3c986bb
BLAKE2b-256 07ba50daaf5cbab3171242a76b71e9fbf39316be0e2af04ada84c88c8bbcee2b

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