Multiprocessing is pretty heavyweight, everything needs to be serialized, you can't share Python objects directly or with good performance across processes, the

Multiprocessing is pretty heavyweight, everything needs to be serialized, you can't share Python objects directly or with good performance across processes, there is (fairly new) shared memory support, but it's just a bag of bytes. It's not particularly good on the cross-platform angle, while it does work on Windows, the startup time for each process is like starting a fresh interpreter, because that's exactly what it is doing. Multiprocessing can work if you have all your logic in Python already, and there is no notable shared state between the processes, and you don't need to coordinate much at all. So pretty much just the very simplest problems in concurrency. Everything else might technically be possible, but will likely be very slow and annoying.