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-1.28.3.dev20231128.tar.gz (8.0 MB view details)

Uploaded Source

Built Distribution

streamlit_nightly-1.28.3.dev20231128-py2.py3-none-any.whl (8.4 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file streamlit-nightly-1.28.3.dev20231128.tar.gz.

File metadata

File hashes

Hashes for streamlit-nightly-1.28.3.dev20231128.tar.gz
Algorithm Hash digest
SHA256 61564e59bb2949f9282d9d8525dd33e30e1122526833ebf6891027074f59fff8
MD5 1e9d2b2bfa5f388813b1e540d6b0d63a
BLAKE2b-256 4a57730d0f2e1f5de0445c73f0c71e819fba4a08357c36b8bf87947504356c0a

See more details on using hashes here.

File details

Details for the file streamlit_nightly-1.28.3.dev20231128-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_nightly-1.28.3.dev20231128-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 2195f29ee22740ed5b5569edaac5cbb7d70e9a287dd509fa15440751ee15c833
MD5 8249761ca0e939b50ce0946cc3b75fa5
BLAKE2b-256 a9c3b60e76347e5ec43f0e69e147f70084cf186f80e93f0519b9c30f64ce8034

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