karax VS Nim

The frontend uses Karax, which is my favorite frontend/SPA library. It is an absolute joy to use, even if it's a bit rough around the edges.

https://github.com/karaxnim/karax

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

And it's present not only in Python but in other languages as well. Check for example https://github.com/karaxnim/karax - I don't know why people would want to hide all of their HTML in Python/whatever language. Then limit their ability to script and style it in one way or another.

> the real killer feature to me is the javascript target

Agree, this is amazing because you can share code and data structures between front and backend (for example: https://github.com/karaxnim/karax).

Also, it's really nice having high level stuff like metaprogramming and static typing spanning both targets. Things like reading a spec file and generating statically checked APIs for server/client is straightforward, which opens up a lot of possibilities.

E.g. Nim focuses on enabling what it calls "single page web apps": https://github.com/karaxnim/karax.

Karax [1] being Nim's SPA framework that also supports server side rendering.

[1]: https://github.com/karaxnim/karax

I recommend you to take a look at Karax. It's a front-end framework for Nim that can compile to regular JavaScript. If you want to know how to use it with a webserver, Joker is a good example. With the Joker config, all of the compiled .js files land in /public/views, where you can take a look at them. But keep in mind that the JS that Nim produces is often rather cumbersome and hundreds of lines long, even if it's just a simple program.

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.