At RelationalAI we use Julia. We're building a system that deeply merges a relational database management system and machine learning. The system is essentially entirely in Julia and currently is about 85K lines of code.

Our talks at JuliaCon have been on how to use Julia for systems programming (eg https://www.youtube.com/watch?v=AaQ7XuAR2yY ), which is not an obvious thing you would do.

We sponsored JuliaCon 2018/2019 and work with Julia Computing to fund improvements to Julia.

Let me know if you have any questions!

You can see some examples here: https://juliacomputing.com/case-studies/

Additionally, a lot of use cases were discussed at the recent JuliaCon (and in years past): https://www.youtube.com/user/JuliaLanguage/videos

There are a lot of backend data science applications using Julia. I was involved in a 3D printing startup and we developed a path planner beginning with Julia 0.3. You generally have to precompile your dependencies into the base library, but once this is all containerized things run great (pretty much as fast as C++ in our case with a little bit of JIT overhead in the cornercases), and you just have to create some sort of API for the service. For backend, long-running, services it is a great language now. The client-side application/static compilation story is massively improving and is fortunately mostly possible outside of the core languages development. E.g. the infrastructure is there in the core language for static compilation, but the interfaces are still developing.

Do you have a guide on how to compile packages into base image?

There are some docs here: https://docs.julialang.org/en/v1/devdocs/sysimg/index.html

There is also now PackageCompiler that provides a nicer API without requiring you to build from source: https://github.com/JuliaLang/PackageCompiler.jl

I know that http://ternaryintelligence.com/ use Julia (because they use a package of mine and have reached out [and allowed me to state that they do so]), but it's also quite clear from past juliacons that http://relational.ai/ do.

I'm currently using Julia for a robot motion planning software , as well as a for a data science project. Julia is the preferred language of our company Laurium Labs https://www.lauriumlabs.com

Hire me!!!

I am just curious. This is something like ROS?

I'm working on a music composition tool called ngrid (http://ngrid.io). I'm using Julia to prototype some complicated DSP algorithms.

I've tried doing these algorithms in other languages (Swift, Rust, C, Python), all of them were getting in the way. Julia is really liberating, I feel like I can concentrate on the hard parts as opposed to fighting the language.

Surprised Rust was getting in the way (at least among the languages on that list), but it's awesome to hear how well Julia is doing.

I'll use Rust eventually, but Rust is super nitpicky. Julia is less nitpicky. I think that Rust is the perfect language for shipping things, Julia is the perfect language for prototyping. Rust is better for systems, like asynchronous, must-be-correct systems. Julia is forgiving but I'm not sure I can ship SDKs/APIs in it.

> Rust is the perfect language for shipping things, Julia is the perfect language for prototyping.

You hit the nail on the head. This is exactly what I do in many of my workflows. Fortunately, Julia is so good on its own that I don't have to do this very often. I can't wait until static compilation is done!

We use Julia for data science work and specific computationally intensive parts of our backend at Zoba: https://www.zoba.com/

We use Julia in production at Invenia. https://www.invenia.ca/

Off-topic: I highly suggest you to change font (at least, body font) on your website. It is very difficult to read.

I am using Julia at Eli Lilly for fitting Bayesian models with MCMC.

I can't find the github repo that contains a list of Julia companies. I want to help add all of these viaa PR

Julia has a ton of applications. At the most narrow, just think of areas Matlab shined: academic implementations, engineering code, etc.