Cython vs. Python vs. Zig vs. dbForge Studio for SQL Server Comparison Chart

Cython is an optimizing static compiler for both the Python programming language and the extended Cython programming language (based on Pyrex). It makes writing C extensions for Python as easy as Python itself. Cython gives you the combined power of Python and C to let you 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. Use combined source code level debugging to find bugs in your Python, Cython, and C code. Interact efficiently with large data sets, e.g. using multi-dimensional NumPy arrays. Quickly build your applications within the large, mature, and widely used CPython ecosystem. The Cython language is a superset of the Python language that additionally supports calling C functions and declaring C types on variables and class attributes.

Zig is a general-purpose programming language and toolchain for maintaining robust, optimal and reusable software. Focus on debugging your application rather than debugging your programming language knowledge. A fresh approach to metaprogramming based on compile-time code execution and lazy evaluation. No hidden control flow. No hidden memory allocations. No preprocessor, no macros. Call any function at compile-time. Manipulate types as values without runtime overhead. Comptime emulates the target architecture. Use Zig as a zero-dependency, drop-in C/C++ compiler that supports cross-compilation out-of-the-box. Leverage zig build to create a consistent development environment across all platforms. Add a Zig compilation unit to C/C++ projects; cross-language LTO is enabled by default.