I Use Nim Instead of Python for Data Processing

1. x86_simd.nim

   1 1 12 - Nimrod

   SIMD procedures for nim on x86

2. SaaSHub

   www.saashub.com featured

   SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

   

3. Numba

   2 127 10,137 9.8 Python

   NumPy aware dynamic Python compiler using LLVM

   

4. Cython

   3 80 9,701 9.8 Python

   The most widely used Python to C compiler

   

5. nimpy

   4 39 1,489 4.2 Nim

   Nim - Python bridge

   

6. circkit

   5 1 8 - Rust

   High-performance circular sequence manipulation

   Author here. This is basically the approach I am using these days to get maximum multithreaded performance for when it really counts (inner loops) [1]. I draft in Python and use Copilot to convert it to Rust, then optimize from there. However, Nim is still better than Rust in my opinion for simple scripts that I don't want to spend a bunch of time writing. Its only major downside is its relative lack of support for parallelism and bioinformatics (i.e., why I used Rust for a more serious project).

   [1] https://github.com/Benjamin-Lee/circkit

7. vdsearch

   6 1 14 0.9 Python

   Viroid-like circRNA discovery and analysis suite

   Author here. I love the type system. By using distinct strings to represent DNA, RNA, and protein, I can avoid silly errors while still using the optimized implementations under the hood. This is what the `bioseq` library (about two hundred lines) does [1] and I find it incredibly elegant.

   [1] https://github.com/Benjamin-Lee/vdsearch/blob/2045b29928f7b4...

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