Java (JIT) beats C++ and even Scala.
What is Julia HO and why is it so ridiculously fast?
The speed difference between Python and Pypy is massive. Is there any reason not to use Pypy? Shouldn't it be the standard?
see: https://github.com/jinyus/related_post_gen/#user-content-fn-...
In addition, vanilla python is finally starting to tackle the worst performance problems (like the GIL getting removed for instance), so they might catch up to pypy eventually. There's also several different JITs installable into cpython systems these days too which is less painful than switching to pypy.
Personally, I am saddened pypy didn't replace standard python, but even in my own career I couldn't find a big speed difference in practice because all the heavy lifting utilizes C, C++, or fortran libraries wrapped by thin python apis.