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-1.26.1.dev20230915.tar.gz (7.3 MB view details)

Uploaded Source

Built Distribution

streamlit_nightly-1.26.1.dev20230915-py2.py3-none-any.whl (7.6 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file streamlit-nightly-1.26.1.dev20230915.tar.gz.

File metadata

File hashes

Hashes for streamlit-nightly-1.26.1.dev20230915.tar.gz
Algorithm Hash digest
SHA256 1a0c0fcf94a3a10cb14a550a93f72e6d4e3d8d654fc20d77c51e6423584823e4
MD5 7de6f989ae0d8795a0327ba78969b312
BLAKE2b-256 438df17925feb488575acc31e9df7ed7e102f683cef9e44f316f94f110720c43

See more details on using hashes here.

File details

Details for the file streamlit_nightly-1.26.1.dev20230915-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_nightly-1.26.1.dev20230915-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 df743a1b8878ba2a23e495f35c4bbf0b19d241c3cc11361259c646aa8124aa29
MD5 ae1347768e700979fd64f2added93949
BLAKE2b-256 c2ec21173288885b774acf6cf922fd6d07ba53f14321f183fc82f19487834e75

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