zippy VS shady

Nothing is without the cons. I would say:

* Libraries: there is no NPM ecosystem to get anything you need.

* Stack-overflow: If you looking for a aswers there might not be anyone who encounters it before. You might have to dig really deep to find some thing.

* Some times you might run into a compiler bug usually related with performance of the generated code. Like it generates correct code bug it's slow for no reason and minor changes to the code make it fast again.

* Relying on OpenSSL especially v3 especially on windows is a big problem, but thats more on openSSL i think. I actually wrote a library around this that uses platforms HTTP/SSL instead: https://github.com/treeform/puppy

* Not having HTTP gzip support in standard library. You can always work around with zippy though: https://github.com/guzba/zippy

* async stack traces are really hard to read.

* not enough docs around the different ways to do threading. There is no one solution some times you want a quick thing, some times you are doing CPU tasks other times you are doing network tasks (where async is better). But many big languages struggle here, there is no one fits all threading solution.

It's definitely not style case insensitivity which everyone loves to bike-shed about.

One last example of Nim’s performance is taking a look at zlib. It has been around for so long and is used everywhere. It has to be as fast as possible, right? After all it uses SIMD and is very tight and battle test code. Well, then the Zippy library gets written in Nim and mostly beats or ties with zlib!

I have used Nim for personal projects for 6 years now and it continues to surprise me on how well versed it is for many problem domains. I am fond of it's SPA framework, karax https://github.com/karaxnim/karax for which I wrote a translation utility https://github.com/nim-lang-cn/html2karax Latest Nimv2 release candidate has improved in the ergonomics and syntax that affect compilation to js, so I was able to cleanup my webapp's code to be less verbose. On GPU programming there has been a few projects that touch GPU programming, most notably https://github.com/treeform/shady

This includes the GPU! Yep, that’s right. You can write shaders in Nim. This makes shader code much easier to write because you can debug it on the CPU and run it on the GPU. Being able to run the shader on CPU means print statements and unit tests are totally doable.

You can do a lot with Nim at compile time, check out my talk on Nim Metaprogramming not just for FizzBuzz, but real world applications: https://fosdem.org/2022/schedule/event/nim_metaprogramming/

I am working an a macro to compile Nim code into GLSL. So not only can you write Nim to C or Nim to JS, it can also (in limited way) do Nim to GLSL GPU Shaders. See here: https://github.com/treeform/shady

I am also working on a macro system similar to SWIG, where using a some macros one can write a Nim library and generate wrappers for your NIM library for many languages like C, Python, JS, Ruby. See here: https://github.com/treeform/genny

See this as one of the examples: https://github.com/treeform/shady

It makes debugging shaders much easier as you can use print statements and unit tests. You can also share code between CPU and GPU side.