Right now there is no "standard" plotting library (in the sense that there
none have yet been blessed by the core team and included as a part of Julia
itself). However, Winston and Gadfly are both great options. All you have
to do is Pkg.add("Winston") or Pkg.add("Gadfly"), depending on which you
want to use, and you should be good to go. The docs for each are
http://winston.readthedocs.org/en/latest/index.html and
http://dcjones.github.io/Gadfly.jl/
respectively <http://dcjones.github.io/Gadfly.jl/>.
There has been some discussion of adding some standard packages (e.g.
plotting stuff) to the bast Julia distribution, follow along here:
https://github.com/JuliaLang/julia/issues/1906
On Friday, December 20, 2013 7:47:49 AM UTC-6, Chris Wray wrote:
>
> Hi - I've been experimenting with Julia for the last week, on and off. I'm
> an experienced R user, and get by with C++, java, python, etc.
>
> Wanted to say fantastic effort - really enjoying Julia.
> To get to grips with Julia I looked at porting some simulation stuff I had
> in R/C++ into Julia.
>
> Everything went well, except the graphics.
>
> As any experienced R user would likely do initially..I got some data:
>
> *data=Rmath.rnorm(1000,0,1)*
>
> and would like to chuck up a basic histogram (as in R):
>
> *hist(data)*
>
> From my incomplete readings, I could not tell if there is a "standard"
> graphics platform (Winston, Gadfly, etc).
>
> After numerous things did not work, I ended up using Plot.ly - via Julia,
> which although effortless, leaves me feeling I've missed something
> "native" to Base Julia, or perhaps an easier way to do this via another
> module?
>
> Is there a standard "benchmark" way to chuck up a histogram, something
> that I've missed?
> Thanks, chris
>
>