pixie VS shady

We have written pixie: https://github.com/treeform/pixie . Pixie is a 2D graphics library similar to Cairo and Skia written entirely in Nim. Which I think is a big accomplishment. It even has python bindings: https://pypi.org/project/pixie-python/

I made it because I really like pixie/boxy/windy combo, but there is no gamepad support built-in.

With Nim, you can continuously optimize and improve the hot spots in your code. For example, in the Pixie graphics library, path filling started with floating point code, switched to floating point SIMD, then to 16-bit integer SIMD. Finally, this SIMD was written for both x86 and ARM.

The author Fidget actually has a number of other great libraries that are part of the rendering stack. Notably, Pixie for text and shape rendering in 2D, Boxy for rendering textures to the GPU via opengl, and then Windy for an OS window context and user events, and a number of other libraries related to 3D rendering.

Perhaps not the "best" source code I've ever read, but libVF.io had some beautiful code for what's generally gnarly system-glue code. The iommu setup code is a good example and inspires me to think that system-glue code doesn't need to be gross or impenetrable: https://github.com/Arc-Compute/LibVF.IO/blob/master/src/libv...

Another one I've appreciated reading (and learned more about 2d graphics from) is Pixie, a 2d graphics library written in Nim. Here's the implementation of a fair subset of SVG paths: https://github.com/treeform/pixie/blob/master/src/pixie/path...

And one last one for basic algorithms: https://github.com/nim-lang/Nim/blob/version-1-6/lib/pure/al...

Of course Knuth's original code is still some of the best classic code. K&R's original C book is a classic.

I recently helped work on a new open source JPEG decoder in Nim. (Over here on GitHub: https://github.com/treeform/pixie/blob/master/src/pixie/file...)

This video was extremely helpful to understand the "why" of all the things the spec was trying to explain. It made a huge difference in us being able to get things working.

We talk a bit about JPEG and actually writing our decoder in Nim here: https://www.youtube.com/watch?v=vYwD7OynFcg

Overall, our concluding opinion is that JPEG has some extremely cool and really smart ideas for how to compress images but the binary file format itself has some very painful things in it (progressive and restart markers as a couple examples).

I am working on OpenStreetMap renderer in Nim - see https://github.com/severak/lunarender3/ (but work somewhat stalled)

I needed some language which is:

- compiled to binaries

- and really fast

- has needed libraries (HTTP server, protocol buffers, sqlite and image generation)

- it's easy to set up

It was nice experience and Nim simply worked for my needs. People on Nim forum were nice and helped me when I ran into problems. It has nice and usable built-in library and I was really impressed by graphic library pixie - https://github.com/treeform/pixie

I would use Nim again when I when I will see this application is suited for it (e.g. some command line apps).

> but not so small that there are no useful libraries written...

Says the person responsible for a ton of really useful, well-done Nim libraries, such as this amazing Cairo/Skia-like library: https://github.com/treeform/pixie#readme

Thank you for all the things you've made for Nim!

A 2d graphics library like Nim’s pixie

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.