It's still a massive work in progress, but I though people here might be interested in the progress made thus far:https://app.pymedphys.com/It is a file processing application. It has input files and output files. Users select input files from their computer, select a script to run (or edit a script to create their own) and then it produces the output files which can be downloaded.At the moment...
Over at https://github.com/pymedphys/pymedphys I have create a Python Monorepo. It piggy backs of tools found within the nodejs world such as Lerna.It has multiple packages all with interdependencies that are automatically graphed with clickable, navigable svgs https://pymedphys.com/developer/dependencies.html.Bumping the version is as simple as running `yarn bump:minor` for example. This then...
An example of using JupyterLab services is provided on their GitHub:
https://github.com/jupyterlab/jupyterlab/tree/master/package...
Because of the way they built their packages I have been able to stand on the shoulder of giants and build the following tool:
https://github.com/SimonBiggs/scriptedforms
I am very grateful to the JupyterLab team. They have built something brilliant.
https://github.com/SimonBiggs/scriptedforms
The majority of that was built with typescript.
But, the reason it is so useful is because it can run Python.
I imagine that the higher liability CPU would likely be slow, old, and very very expensive. But that is the compromise required on behalf of the consumer.