I've built a fairly complex graphical user interface for a data analysis pipeline that a neuroscience lab is using. I built it with Python in a Jupyter Notebook using ipywidgets and various interactive plotting libraries such as bokeh. It's basically just a GUI for an existing Python analysis package, but many researchers don't have any or sufficient programming skills to use it and hence need a GUI.
The problem is that it's a fairly involved setup process. You have to install anaconda, install a bunch of libraries, launch a Jupyter notebook server, etc. This installation process is not feasible for people with minimal tech skills.
How can I package and deliver my Jupyter Notebook app as close to a "download and double-click the installer" type of setup as possible? It needs to be easy for non-tech people. Does the new JupyterLab offer anything here? Could I package it as an Electron app some how?
Have you tried conda constructor?
For distribution and updates of apps (.ipynb files), I once used the startup scripts of the Jupyter server to check for newer versions in a github repo and pull the new versions of the files if there were any.
Also, for a friendlier user experience inside Jupyter, check appmode.