While not a Matlab nor Julia user, I think you may be neglecting the nearly 40 years of code, toolboxes, and countless examples of common engineering problems solved in Matlab. Engineers tend to be more of a practical sort than developers, and just want to apply a known solution to a problem than mess around with newish software languages.
This is true, but even engineers see the advantages of Julia. My engineering school has went from almost pure Matlab usage to many key engineering courses switching to Julia due to its simplicity and friendliness.
It's also SOTA for many engineering applications, particularly for acausal modelling and scientific machine learning (see https://sciml.ai), which has led to big companies like Pfizer adopting it [1]. And for engineers writing novel libraries, it clearly has a strong edge. See for example the work by NASA's JPL [2, 3], the FAA [4] or the CliMa project [5].
One enormous difference is that MATLAB is paid, which, ironically, makes it much much easier to use in a corporate context.
For MATLAB it isn't just toolboxes, but also integrations with other tools. So it depends on what you are trying to do, but if your problem is taking in data, computing, putting out data, Julia can absolutely compete with MATLAB, even on the most practical "I really just want this to just work and look at the results", level.
BenFranklin100|1 year ago
agucova|1 year ago
It's also SOTA for many engineering applications, particularly for acausal modelling and scientific machine learning (see https://sciml.ai), which has led to big companies like Pfizer adopting it [1]. And for engineers writing novel libraries, it clearly has a strong edge. See for example the work by NASA's JPL [2, 3], the FAA [4] or the CliMa project [5].
[1]: https://juliahub.com/case-studies/pfizer/ (see also https://info.juliahub.com/case-studies) [2]: https://exoplanets.nasa.gov/news/1669/seven-rocky-trappist-1... [3]: https://ntrs.nasa.gov/citations/20170008266 [4]: https://youtu.be/19zm1Fn0S9M [5]: https://clima.caltech.edu/
constantcrying|1 year ago
For MATLAB it isn't just toolboxes, but also integrations with other tools. So it depends on what you are trying to do, but if your problem is taking in data, computing, putting out data, Julia can absolutely compete with MATLAB, even on the most practical "I really just want this to just work and look at the results", level.