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.dev20231222.tar.gz (8.0 MB view details)

Uploaded Source

Built Distribution

streamlit_nightly-1.29.1.dev20231222-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.dev20231222.tar.gz.

File metadata

File hashes

Hashes for streamlit-nightly-1.29.1.dev20231222.tar.gz
Algorithm Hash digest
SHA256 6369eea3fdc20a4963e5483aadd26e22656c214449f60a5549bd507f6d53eacd
MD5 8ecb2f92c44d56bb458c6a4d8b6a392d
BLAKE2b-256 6efb62d205f5b735fa3287afca4983cf67ca07517885e7dfdaaee98dcc4a5f17

See more details on using hashes here.

File details

Details for the file streamlit_nightly-1.29.1.dev20231222-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_nightly-1.29.1.dev20231222-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 6e413335067b8a1f532cab7544667af5c686329c840dda3a1280cccb226e01da
MD5 b02d7b0c6bcb19b4772da28f3815e0dd
BLAKE2b-256 335d5ec1bdba02e4da533065b9fa5cc1be67dfec0863407b5b86b3640c40e763

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