PyPy work well with CPython modules but the performance is not that great, with CFFI performance is really good in PyPY, HPy project will change this https://hpyproject.org/

Last I checked, Pypy wasn’t compatible with many important packages in the Python ecosystem. As of a couple years ago, there was no trustworthy, supported package for talking to a Postgres database with Pypy because psycopg2 wasn’t supported.

I've been using PyPy and psycopg2cffi in production for the last 5-6 years or so without any issues.

https://pypi.org/project/psycopg2cffi/

Interesting. I wasn't able to get that working when I tried several years ago. I forget the specific issue.

When is the last time you checked ?

I have run it with pandas+numpy and postgres+timescale without issue for the last year.

Several years ago now.

postgresql can work with psycopg2 but is not the same performance as psycopg2cffi , i will integrate some databases to PyPy, and also HPy project will bring any Cython library to PyPy with basically the same performance or better.

I heard that very argument about GCC. C++ without __attribute__ is not practical for embedded development therefore C++ for PLCs is what GCC does. And yet, the general consensus now is that C++ is ISO/IEC 14882, and what GCC does is just an implementation.

With Python, you don't even have to go "alternative" to use LLVM compiler infrastructure. You can use CPython + Numba and compile your kernels for both CPU and GPGPU on the go. Which is very practical.

Which is ironic, to compile a CUDA kernel in C++, you would have to use an alternative NVidia implementation of the language.