gdnative VS Nim

It's a little less standard use, but Godot has been used to build application guis, which could be paired with rust bindings to implement app logic. I can't speak to reproducibility/scalability, but Godot's ui is extremely solid, and I'd probably choose that over Bevy until Bevy's ui progress matures.

Adding onto this, I successfully written a game in Godot using gdnative / gdext. I started with a split approach using gdscript and rust for CPU intensive but found that the API layer was slow at transferring large amounts of data (serialization?). I ended up rewriting it in all rust and it worked like a charm. I was able to target native and web assembly, the web assembly was much slower but worked on the browser.

Check this: https://github.com/tomuxmon/bevy_roguelike if you are still into bevy. Scheduling is a bit bork and I have not found time to port it to latest bevy. But most of the systems should work fine(if used on latest bevy). But again. If you want faster result go with something like Godot. In fact, just go with Godot. It is mature, easy to start, no lock in(free and MIT license), a lot of learning material. Also with Godot you can also use Rust https://godot-rust.github.io/. Ditch Unity (do not have time to explain 😅). Have fun!

Bevy Godot-Rust

> Same for Godot.

While likely true that it's "Unlikely to ever be as supported" as the 4 officially supported languages[0] ("GDScript, C#, and, via its GDExtension technology, C and C++."), Godot's GDExtension technology is specifically intended for use in adding support for other languages.

The most relevant tracking issue for Rust is presumably:

* <https://github.com/godot-rust/gdnative/issues/824>

Which links to:

* <https://github.com/godot-rust/gdextension>

[0] https://docs.godotengine.org/en/4.0/getting_started/step_by_...

...Godot v3.x has Rust support via godot-rust and Godot v4.0 is released as of this month?

I was curious, and looked it up. Nothing built in, but there's an interesting project that works with godot: https://godot-rust.github.io/

There's people working on it: https://godot-rust.github.io/

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.