[machinelabo]

> I think Julia should really seek to displace MATLAB as a near term goal .

Have you studied MATLAB and its ecosystem? It ranges from real time control to image recognition to sophisticated engineering-specific toolboxes (RF, 5G, LTE, etc.). They also have proprietary algorithms that do things no Julia package can do. Sure, there is PDE solvers and the ecosystem is growing for Julia, but it is at-least an order of magnitude smaller than MATLAB if not more. I urge you to explore the documentation, APIs and toolbox details on MATLAB: https://www.mathworks.com/products.html

Take a look at the LIDAR toolbox for example: https://www.mathworks.com/products/lidar.html

or LTE: https://www.mathworks.com/products/lte.html

and I've used DSP toolbox the most: https://www.mathworks.com/products/dsp-system.html

I am not condoning use of MATLAB, just stating the facts having used Julia and MATLAB extensively. I personally like Julia language FWIW. At work, we use MATLAB and happily pay for it. Their support is absolutely top-notch and for us it is the reason alone to use MATLAB. Julia has support but not even close to MATLAB's direct line to compiler engineers (yes, I've had them fix a bug and do a release in an afternoon).

[vcxy]

You're absolutely right. I'll agree with the person you replied to as well though: displacing (at least some portion of) MATLAB use cases really would be a good goal for Julia.

Personally, I managed to switch over 100% and DifferentialEquations.jl is the reason that made sense for my work.