sokol-odin VS Nim

* etc

There is also the second issue that C is technically TWO languages: the C programming language and the C preprocessor. People mix the two together and things cannot be easily translated. A good basic example of this is people using `#define` for constants, and thus that name has no semantic meaning in the language itself. A translator has to try and make some semantic meaning from the intersection of these two languages, even if people don't make a distinction when making APIs.

And Odin's `foreign` system allows [1] for a lot of really nice things that most other languages cannot do so tersely. Here are two examples of demonstrating bindings of C libraries that feel as if they were native Odin libraries WITHOUT any wrappers:

* https://github.com/floooh/sokol-odin/blob/main/sokol/gfx/gfx... (and the rest)

I maintain auto-generated bindings for my C libraries for Zig and Nim (and Odin and Rust - although the Rust bindings definitely need some love to make them a lot more idiomatic).

I think looking at the examples (which is essentially the same code in different languages) gives you a high level idea, but they only scratch the surface when it comes to language features (things like the Zig code not using comptime features):

Zig: https://github.com/floooh/sokol-zig/tree/master/src/examples

Nim: https://github.com/floooh/sokol-nim/tree/master/examples

Odin: https://github.com/floooh/sokol-odin/tree/main/examples

Rust: https://github.com/floooh/sokol-rust/tree/main/examples

I'm actually dabbling with Odin a bit in the scope of language bindings for the sokol headers:

https://github.com/floooh/sokol-odin

It's a very enjoyable language!

I recently wrote a bindings generator to Odin for my C libraries, and the FFI is very well thought out, down to defining things like linker dependencies in the code. For instance see here:

https://github.com/floooh/sokol-odin/blob/main/sokol/gfx/gfx...

The only minor downside (compared to Zig) is that Odin still requires a separate C/C++ toolchain to actually build the C dependencies. But I guess that's a typical 1st-world-problem ;)

(but AFAIK Odins FFI system isn't in any way related or depending on LLVM).

22. Nim - $80,000

I think the right answer to your question would be NimLang[0]. In reality, if you're seeking to use this in any enterprise context, you'd most likely want to select the subset of C++ that makes sense for you or just use C#.

[0]https://nim-lang.org/

I don't think it's a rust-inspired language, but since it has strong typing and compiles to javascript, did you give a look at nim [0] ?

For what it takes, I find the language very expressive without the verbosity in rust that reminds me java. And it is also very flexible.

[0] : https://nim-lang.org/

I see a valid cert for https://nim-lang.org/

FYI, on the front page, https://nim-lang.org, in large type you have this:

> Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula.

You better off with using a compiled language.

If you interested in a language that's compiled, fast, but as easy and pleasant as Python - I'd recommend you take a look at [Nim](https://nim-lang.org).

And to prove what Nim's capable of - here's a cool repo with 100+ cli apps someone wrote in Nim: [c-blake/bu](https://github.com/c-blake/bu)

Chapel has at least several full-time developers at Cray/HPE and (I think) the US national labs, and has had some for almost two decades. That's much more than $100k.

Chapel is also just one of many other projects broadly interested in developing new programming languages for "high performance" programming. Out of that large field, Chapel is not especially related to the specific ideas or design goals of Mojo. Much more related are things like Codon (https://exaloop.io), and the metaprogramming models in Terra (https://terralang.org), Nim (https://nim-lang.org), and Zig (https://ziglang.org).

But Chapel is great! It has a lot of good ideas, especially for distributed-memory programming, which is its historical focus. It is more related to Legion (https://legion.stanford.edu, https://regent-lang.org), parallel & distributed Fortran, ZPL, etc.