So I tried this after I installed julia on my system (Fedora) and installed the Plots package. It took about a second or so, not too bad, slower than ROOT or ma

So I tried this after I installed julia on my system (Fedora) and installed the Plots package. It took about a second or so, not too bad, slower than ROOT or matplotlib but not too different from octave... but the default backend is not interactively zoomable at all as far as I can tell? Ok, I can do Pkg.add("PyPlot") to use matplotlib, but now this takes an extra ~10 seconds? It would probably have been faster to mmap a shared file, dump the data there, then, fork a new python process and plot it... maybe I try the plotly backend (which doesn't need any new packages, that's nice), but now it opens in my browser? By now my .julia directory has balloned to 2.8 GB (!!!) and I'm bored of this test and go back to making my quick plots in ROOT :). edit: oops, maybe PythonPlot is what i should use, not PyPlot. But when I try that I see: ┌ Warning: `PythonPlot` 1.0.3 is not compatible with this version of `Plots`. The declared compatibility is 1 - 1.0.2.[ and doesn't seem to be any faster