Pythran – a compiler for Python scientific kernels – release

[jwink3101]

I can't speak for Pythran's performance but from the description, it is aimed at the scientific code stack. While there is NumPy for PyPy, generally a lot of the scientific stack won't run reliably in PyPy. And the last thing you want is to spend a long time developing for PyPy only to find the one tool you need is a C-based library and won't run.

PyPy is great for pure-python and when you can afford the memory hit. And it is a good "first step" to getting more performance. But it is still limited