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.dev20230308.tar.gz (9.3 MB view details)

Uploaded Source

Built Distribution

streamlit_nightly-1.19.1.dev20230308-py2.py3-none-any.whl (9.7 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file streamlit-nightly-1.19.1.dev20230308.tar.gz.

File metadata

File hashes

Hashes for streamlit-nightly-1.19.1.dev20230308.tar.gz
Algorithm Hash digest
SHA256 4ac6bb336504196fdb8513377a8dfbc5cb7d42c1c64c67048aa8a0c027cb2445
MD5 745ff3581b6b8bd94ef18f2dcd182652
BLAKE2b-256 1372d00958aac417f69225cfbae58cddb67bbc342a5494b9cf1e835886967efe

See more details on using hashes here.

File details

Details for the file streamlit_nightly-1.19.1.dev20230308-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_nightly-1.19.1.dev20230308-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 ba0318db07bb9a4ecd732d6eae97f0753a1cc5d0e2aefa54db2914227c34b13f
MD5 12cad1b8adfab05fe698f7ca00b08605
BLAKE2b-256 e72710e45427589606ff186b309563c40e75d3e815701f803a24cd18aace4b54

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