jupyterpack

A JupyterLite extension to serve in-browser Python and Javascript web application

Features

• Python Web Apps: Serve Python web applications directly in the browser using JupyterLite's in-browser Python kernel. jupyterpack currently supports Dash, Streamlit and Shiny for Python .
• JavaScript Web Apps: Bundle and serve JavaScript web applications using in-browser bundlers.

Installation

You can install jupyterpack using pip or conda

# Install using pip
pip install jupyterpack

# Install using conda
conda install -c conda-forge jupyterpack

Usage

To use jupyterpack, you need to create a .spk file that defines your web application. Here's an example structure of a React application:

my_app/
├── app.spk
├── App.js         # Your JS code
├── package.json   # Your JS dependencies
└── index.html      # HTML entry for JS apps

the app.spk is the entry point of your React app, it should contain the following content:

{
  "name": "React Example",
  "entry": "/index.html",
  "framework": "react"
}

Double clicking the spk file to open the web app as a tab of JupyterLab.

Dash application

Same as the React application, here is the structure of a Dash application:

my_app/
├── app.spk
├── server.py         # Your Dash code

the app.spk is the entry point of your Dash app, it should contain the following content:

{
  "name": "Dash Example",
  "entry": "server.py",
  "framework": "dash"
}

For the Dash code, you need to define your Dash app variable as app and do not call app.run_server directly, jupyterpack will handle the server for you. Just as the case of React app, double clicking the spk file will open the Dash app in a new JupyterLab tab.

Try it online!

You can try it online by clicking on this badge:

License

jupyterpack is licensed under the BSD-3-Clause license.