Julia interoperation and IO

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


See the API list


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.


rJulia provides an interface between R and Julia. It allows a user to run a script in Julia from R, and maps objects between the two languages.


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

Data loading/saving/exchange

The names are nearly all self explaining

  • CSV.jl
  • Matlab? mat.jl
  • ProtoBuf.jl does ProtoBuf
  • FlatBuffers (like Protobuf but fast, no copying/unpacking)
  • Feather.jl (access to the apache arrow format used to schange dataframes)
  • Rdata.jl does R
  • 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 targetting out-of-memory mathematics