Skip to main content

A faster way to build and share data apps

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-1.29.1.dev20231216.tar.gz (8.0 MB view details)

Uploaded Source

Built Distribution

streamlit_nightly-1.29.1.dev20231216-py2.py3-none-any.whl (8.4 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file streamlit-nightly-1.29.1.dev20231216.tar.gz.

File metadata

File hashes

Hashes for streamlit-nightly-1.29.1.dev20231216.tar.gz
Algorithm Hash digest
SHA256 d4441c91f0bd10027b1d562c1e691d09ac272db1c22094a3d0970eb83d35f688
MD5 2242fb051c05feb2ae4da44fca832fad
BLAKE2b-256 dd6f8615a468a8244ce722131ba6395c442c1c454d63044e8b1d44bde9653dc9

See more details on using hashes here.

File details

Details for the file streamlit_nightly-1.29.1.dev20231216-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_nightly-1.29.1.dev20231216-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 7420ea2bc53069e503281e9fab900f86293aa7c27402ee14803cca15855a50b2
MD5 8663d0d5bddefac186bb398282123343
BLAKE2b-256 a4cf880f0e33d53888340bca239ffcd3e3ecf437c8a4f74cbdc0d20942ed23ab

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