I've used it a few times, I had a little script that processed a big important JSON file in functional test. PyPy is pretty easy to setup, and it's free 5-10x t

I've used it a few times, I had a little script that processed a big important JSON file in functional test. PyPy is pretty easy to setup, and it's free 5-10x that lets you iterate faster as soon as you start to have bigger input files At some point if it's a heavy process that has to run often, I would probably have rewritten it in Rust or something else, but in this case that script only needed to run a few times, and it needed to be correct, hence the heavy tests before running it for real I think of PyPy more as making the dev feedback loop faster, rather than something I'd run in prod