PyPlot.jl

Check out the PyCall[1] and PyPlot[2] packages, then. Julia has pretty good integration with python. I've been pretty happy calling matplotlib from julia. (You probably already know about these packages, but just in case you didn't...) [1]: https://github.com/stevengj/PyCall.jl [2]: https://github.com/stevengj/PyPlot.jl

Gadfly is an excellent ggplot2-style plotting package: http://gadflyjl.org Winston is a most traditional plotting API: http://winston.readthedocs.org/en/latest/examples.html You can also plot seamlessly via Python using PyPlot: https://github.com/stevengj/PyPlot.jl They are all quite well documented.

Sorry for self-reply, but ran out of edit time: a very valid concern about Julia is the lack of packages because it is new - a catch-22 situation that all new languages. This has been recognized by developers and Julia has now got some great inter-language interop packages and functionality, allowing it to harness a world of packages in other languages. * Very efficient interaction with C and Fortran libraries is a core Julia feature, with the ability to pass arrays and structs directly between C and Julia. Calling C: http://docs.julialang.org/en/latest/manual/calling-c-and-for... * Python libraries can be used through PyCall.jl, which is used most famously to call matplotlib (PyPlot.jl) but also other libraries like pandas (Pandas.jl). PyCall.jl: https://github.com/stevengj/PyCall.jl PyPlot.jl: https://github.com/stevengj/PyPlot.jl Panda

It is open-source software, not a walled garden - there are going to be multiple options, and they are not going to all be named ["PLOTTINGISHERE$i" for i in 1:4]. If you like MATLAB/pyplot/matplotlib style, PyPlot.jl is for you. If you like ggplot2, Gadfly.jl is for you. If you like gnuplot, Gaston.jl is for you. Finally, but not least, is Winston.jl, which is its own thing altogether. I think in many cases its good for packages that overlap to come together/one to become dominant, but I don't think that applies here. https://github.com/stevengj/PyPlot.jl https://github.com/dcjones/Gadfly.jl https://github.com/mbaz/Gaston.jl https://github.com/nolta/Winston.jl

FWIW, there is a Julia library that allows you to call out to R (https://github.com/lgautier/Rif.jl). I'm not sure how well-developed it is though. There are also a lot of R-inspired Julia libraries, such as Dataframes (https://github.com/JuliaStats/DataFrames.jl). There is also a pretty good Julia-Python interface (https://github.com/stevengj/PyCall.jl) and bindings to Matplotlib (https://github.com/stevengj/PyPlot.jl).