Julia interoperation and IO

IO and interoperation for Julia. Closely related: Julia GUIs and networking.

API, FFIs

Sort of easy, but there is a tedious need to define the call signature at call time. Survivable.

This package provides an interface from R to Julia, based on the XR structure, as implemented in the XR package, in this repository.

RCall embeds R into julia, which is weird and not quite what I need to appeal to R users.

OTOH JuliaCall, which embed Julia in R, might be the goods.

PyCall.jl invokes python. It has annoying defaults. See the IJulia setup for some examples of how it goes.

The names are nearly all self explaining

CSV.jl
Matlab? mat.jl
ProtoBuf.jl does, amazingly, ProtoBuf
FlatBuffers (like Protobuf but fast, no copying/unpacking)
Feather.jl (access to the Apache Arrow format used to exchange dataframes)
Rdata.jl does R
NetCDF and NCDatasets both provide access to NetCDF.
HDF5.jl - see also JLD2.jl which writes a simple HDF5 subset.
MsgPack.jl (MsgPack is a binary JSON competitor made famous by zerorpc)
Query.jl provides a LINQ-type query interface to pretty much all the data sources you can imagine anyone having bothered to implement — including ODE solvers (⁉️) and various databases.
BigArrays.jl provides an array interface over databases, seemingly targeting out-of-memory mathematics

simple enough, as I note at (julia plotting](./plotting_in_julia.html#svg-latex):

run(`inkscape -D -z --file=image.svg --export-pdf=image.pdf --export-latex`)

I should make an example of one which creates a temporary pipe and streams data to it.