I learned 7 programming languages so you don't have to

1. crystal

   1 246 19,735 9.8 Crystal

   The Crystal Programming Language

   

2. InfluxDB

   influxdata.com featured

   InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.

   

3. Rust-CUDA

   2 42 4,300 8.8 Rust

   Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.

   

4. PackageCompiler.jl

   3 26 1,471 7.9 Julia

   Compile your Julia Package

   

   Also, you can precompile a whole package and just ship the binary. We do this all of the time.

   https://github.com/JuliaLang/PackageCompiler.jl

   And getting things precompiled: https://sciml.ai/news/2022/09/21/compile_time/

5. karax

   4 15 1,103 5.2 Nim

   Karax. Single page applications for Nim.

   

   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

6. html2karax

   5 2 31 0.0 Nim

   Converts static html to Karax in Nim

   

   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

7. shady

   6 6 160 3.0 Nim

   Nim to GPU shader language compiler and supporting utilities. (by treeform)

   

   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

8. naylib

   7 1 267 9.2 C

   Yet another raylib Nim wrapper

   

   Also on the game development front, I maintain a raylib wrapper https://github.com/planetis-m/naylib As long utilities like c2nim https://github.com/nim-lang/c2nim exist, it's trivial to create bindings of C/C++ libraries. One thing I want to experiment more is making it more automatic by writing a callback exposed by c2nim that transform the generated code using Nim's AST. But regardless in that project I was able to write safe language abstractions on top of the bindings that provide a more native experience. It has scope-based memory management, generics and ... function overloading.

9. CodeRabbit

   coderabbit.ai featured

   CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

   

10. c2nim

    8 7 513 4.1 Nim

    c2nim is a tool to translate Ansi C code to Nim. The output is human-readable Nim code that is meant to be tweaked by hand before and after the translation process.

    

    Also on the game development front, I maintain a raylib wrapper https://github.com/planetis-m/naylib As long utilities like c2nim https://github.com/nim-lang/c2nim exist, it's trivial to create bindings of C/C++ libraries. One thing I want to experiment more is making it more automatic by writing a callback exposed by c2nim that transform the generated code using Nim's AST. But regardless in that project I was able to write safe language abstractions on top of the bindings that provide a more native experience. It has scope-based memory management, generics and ... function overloading.

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