ApproxFun.jl

There's also a Julia implementation of this called ApproxFun: https://github.com/JuliaApproximation/ApproxFun.jl It's a bit more expressive than the Matlab version

> It's not JUST google and apple, I'm sure they have enough cash and expertise and will to create enough momentum to attract more domain experts in other areas. Maybe, but I'm doubtful. Scientific domain experts flock to languages like Python, Julia, Matlab, R, etc. because they're interactive and allow them to quickly iterate on ideas, query data, produce plots, etc. Swift is not much of an interactive language and is not built around that kind of repl driven experience. > In particular, do you have another example aside from DifferentialEquations.jl ? Sure, here's a smattering of high quality packages made by and for research scientists: https://github.com/JuliaApproximation/ApproxFun.jl https://github.com/BioJulia https://github.com/JuliaDiffEq/ModelingToolkit.jl https://github.com/crstnbr/MonteCarlo.jl https://gith

I won't comment on organizations using Julia, but some conclusions can be drawn from the presenters and sponsors at JuliaCon 2015: http://juliacon.org/2015/ Here is a brief list of some major packages that I am aware of: - https://github.com/JuliaOpt/JuMP.jl - https://github.com/JuliaOpt/Convex.jl (Stephen Boyd's current and former students) - https://github.com/ApproxFun/ApproxFun.jl (Nick Trefethen's former students) - https://github.com/dmlc/MXNet.jl - http://nemocas.org Julia has been used (and cited) in at least one Nature publication: http://www.nature.com/nature/journal/v526/n7575/full/nature1... A larger list (with associated publications): http://julialang.org/publications/ Julia is also being used for courses at a number of universities: http://julialang.org/teaching/

There are a couple of projects inspired by chebfun that are adding similar functions to other languages: * https://github.com/ApproxFun/ApproxFun.jl (Julia) * https://github.com/olivierverdier/pychebfun (Python) * http://nines.cs.kuleuven.be/software/CHEBINT/ (Octave)

There are partial versions in Python and Julia, but porting the whole thing would be an enormous amount of work, at least a year of full time effort by a solid programmer. https://github.com/cswiercz/pychebfun https://github.com/ApproxFun/ApproxFun.jl One thing I would love to see is some kind of “Chebfun viewer” partial implementation ported to several languages and environments, that wouldn’t try to provide everything from the Matlab version, but would at least cover function evaluation, and maybe a few other features, and would support importing chebfuns exported from Matlab. Especially nice environments for such a thing would be C/C++ (ideally with SIMD/GPU implementation) and in-browser JavaScript.