Just thought I'd chime in that there is a StaticArrays.jl package that lets you make arrays which are stack allocated like value types in other languages, and y

Just thought I'd chime in that there is a StaticArrays.jl package that lets you make arrays which are stack allocated like value types in other languages, and you can make arrays of static arrays that layout exactly like arrays of structs in C/C++, and can be memory mapped from disk and so-on. (Such arrays of static arrays do eventually get GC'd, but that is not necessarily very frequent). They also support the same set of abstractions as other arrays including performant (SIMD) math/linear algebra that in my (biased) opinion is perfect for 3D graphics. (As an aside, we also take this further with abstractions of 3x3 rotation matrices using a variety of internal representations such as quaternions in Rotations.jl, and allow composing coordinate transformations in CoordianteTransformations.jl, etc, etc). Touching on the original authors post about the package ecosystem, I feel it can't be understated enough how easily different packages can compose and be used together in Julia. I like to say there is a product rule here where functionality/productivity grows as the square of the number of packages/features you can use together naturally (regardless of programming language). We can use static arrays, rotations, coordinate transformations, etc in combination with differential equation packages to simulate a system or with an optimization package to optimize a coordinate transformation for SLAM given certain measurements, and so-on, at full run-time speed but comparatively little user effort.