Hello everyone. Julia [1], a scientific/numerical computing-focussed programming language, recently went 1.0. It primarily focuses on user-local module installation (into $HOME/.julia), similar to conda, rustup, zef, etc. This is obviously fine for individuals but not great for deployment on a larger scale. Currently, no distributions that I'm aware of (i.e. Debian, Fedora, Gentoo, Arch) package modules for system-wide installation. I spent a few hours this afternoon putting together a package chain for IJulia [2] (which adds a Julia back-end/kernel to Jupyter). As there's no precedent or approach (I'm aware of) for system-wide Julia module installation I'm looking for some testing and feedback to ensure this approach will operate in an equivalent way to the standard Pkg.add("IJulia"). From the limited testing I've done IJulia _appears_ to work OK but I've not tried anything particularly fancy. I'm also interested in any general PKGBUILD feedback, including any depends which should be makedepends or checkdepends. If you find an easy way to tell what should be what then I'm all ears! Of particular note is the very hacky way of creating files which would otherwise be generated by Pkg.build()... there _must_ be a cleaner way of doing that. Best, Jonathon [1] https://julialang.org/ [2] https://aur.archlinux.org/packages/julia-ijulia