What are the challenges and advantages?
Highly performant, It runs within docker container. Documentation is highly available.
Challenges: Getting more people to use it and collaborate with it.
SwiftUI has become more trendy, that other frameworks don't get wide relevance.
another library which brings more interesting projects is: CoreML On-Device ML training and inference
The first version used Vapor before we had async/await. That was painful at times but doable.
Earlier this year I got some time to rewrite it in modern Swift with async/await. It’s a total game changer. Almost as easy as writing in Python.
Maybe even easier than Python sometimes, because with Swift you have a decent type system watching your back. If it compiles, then you’re probably most of the way there.
They use Vapor and seem to be doing alright.
Also key were these Docker images: https://github.com/wlisac/swift-on-balena
https://www.omnigroup.com/blog/under-the-hood-with-omnifocus...