PyPy on numpy heavy code is often a lot slower than CPython | Hacker News

Hacker Newsnew | past | comments | ask | show | jobs | submit

toxik 6 months ago | parent | context | favorite | on: Warn about PyPy being unmaintained

PyPy on numpy heavy code is often a lot slower than CPython

mattip 6 months ago [–]

Yes. The C API those libraries use is a good fit to CPython, a bad fit to PyPy. Hence CFFI and HPy. Actually, many if the lessons from HPy are making their way into CPython since their JIT and speedups face the same problems as PyPy. See https://github.com/py-ni

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact