Genie.jl VS Nim

Julia seems to be doing a better job catching up to R in this space than Python. I haven't used it personally, but the demos of Genie Framework are impressive: https://github.com/GenieFramework/Genie.jl / https://genieframework.com/

Hi everyone! I’m Adrian, co-founder of Genie Cloud. Genie Cloud is the no-code platform to quickly build & deploy Julia web apps. It is designed for R&D and data science teams using Julia, who need to share their work with interactive web apps.

Genie Cloud is very simple: import (or write) the Julia code, build the GUI with the drag & drop editor, and deploy the apps in one-click. No frontend code, server stack or hosting to worry about. With Genie Cloud you can build anything, from interactive dashboards to ML demos to production-grade apps.

Genie Cloud is built on top of the open source Genie Framework (https://genieframework.com/), the most popular Julia web framework (I’m also the creator and maintainer of Genie Framework).

At the moment we are in private beta. You can learn more and sign up to get access here: https://www.geniecloud.io/. Looking forward to your thoughts and questions!

I used Julia through my PhD but then started working at a consulting company and had to use Python except for few proof of concepts I built in Julia. Luckily for me, now I'm working at Genie so I finally get to use Julia professionally :)

Have you checked https://genieframework.com/? It's the most popular web dev framework in Julia.

Hi! Genie Builder is a free VSCode plugin that makes it easy to build web GUIs for Julia applications (and in future, Python apps too). Users can simply drag & drop UI elements to create interactive dashboards and data apps, without writing any frontend code.

The tool is designed for data scientists and researchers who need to expose their data models to business users with an interactive web application, but lack the software development skills to build one.

Genie Builder completely eliminates the need to learn frontend development to code the UI. And very soon, we’re also going to support one-click cloud deployments to make it easy to build AND deploy data apps - no frontend nor devops skills required.

I’m Adrian, the creator of the open-source Genie web framework ([https://genieframework.com/](https://genieframework.com/)). Genie offers low-code libraries for building data applications - just like Streamlit or Dash, but for JuliaLang. We developed Genie Builder because of feedback from our open source community who needs more productive data tooling.

Yep, I'm a PHP dev and often do simple JS/jQuery to support my backend code. I have a very general interest in data science and embedded programming, meaning one day I might start doing something with them, but for now, I'm interested in those languages for web development. The following frameworks were especially interesting

Go: https://github.com/gin-gonic/gin

Rust: https://rocket.rs/

Julia: https://genieframework.com/

Check Genie. They're working on an app builder called Genie Cloud.

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.