cython

The difference is that Cython is a super set of Python, while RPerl is subset of Perl.

I could see myself compile with Cython here and there if the performance gains would be meaningful but I do not want to write Cython.

That could cause confusion with CPython (the main python implementation) and possibly also Cython (C extensions for Python).

Nobody today chooses Python for it's native performance anyways (although Cython and PyPi have made great strides for common cases).

FreeNAS then wrote Cython bindings to all this for use in their system services.

I meant only that Cython results would tell me more about relative CClasp performance than a comparison CPython does.

With Cython you can take fully dynamic Python and slowly convert it into some static equivalent (cdef) that runs as fast as C / C++.

I use two transpilers in my day to day work, cython and coffeescript.

I would love the Cython team to work on the performance without modifications.

Most packages use Cython for this reason instead.

We eventually chose Cython because at least we can get big speedups (depending on the code and how much can be properly cythonized, of course).

Does that work with Cython compiled dependencies?

Considering that Python 3 remains slower than Python 2 on many benchmarks, what you're suggesting would be an interesting feature for Cython/Python 3 -- "Compile your Python 3 code with Cython and get 100%* speedup (*on average)".

I still see value in learning Cython as a complement to Python, for the cases where you need to get "closer to the metal".

In my job we have some big projects on Python 2 and Cython gives us access to some of the "new Py3 features": types (real types, not just hints) and async IO (through C primitives).

You can also write very fast code in Cython, which has basically the same syntax as Python.

Why not just write your own parser that reads types annotations and then outputs Cython-equivalent variables declartions?

I would like to see the numbers of the Python code compiled without modifications with Cython.