Speed up Rich

[USLTD]

Although Python is beautiful and easy it has one flaw that it shares with other Interpreted Languages - it is slow.
Therefore this discussion will be about possible ways to make Rich faster and their pros and cons. Currently here are ways:

1. Cython EASY

+ Write Python code that calls back and forth from and to C or C++ code natively at any point.
+ Easily tune readable Python code into plain C performance by adding static type declarations, also in Python syntax.
- Only for Python implementations implemented with C/C++ like CPython
- Requires C/C++ Knowledge

2. Converting Rich to Python C/C++ module HARD

+ Faster than Cython
@@Possibly no GIL restrictions@@
- Only with C/C++-based Python implementations
- Requires entire C/C++ knowledge
- Hard to maintain

4. Convert Rich's low-level core functions to any of low-level language (C/C++, Rust) Core: HARD. Wrappers: Easy~Medium

+ Speed
+ No GIL restrictions
- Hard to maintain (Although easier then 2nd)
- Huge huge language knowledge
- Highly possible to need wrappers