Bokeh and Bokeh.jl are both very cool – thanks so much for all the work on the package!
There seem to still be visualization tasks that have scale and performance requirements such that HTML and JavaScript don't cut it. Web technologies are also generally not up to the task of producing publication-quality graphics, e.g. for research publications. The gaps are probably both diminishing, but I don't think we're quite there yet. On Mon, Feb 23, 2015 at 12:38 PM, Samuel Colvin <[email protected]> wrote: > To coincide (approximately) with the release of Bokeh v0.8.0 I've released > a significantly improved version of Bokeh.jl: > > http://bokeh.github.io/Bokeh.jl/ > > This is the first plotting library I've built and the first proper Julia > package. I would therefore really appreciate any feedback on the plotting > interface and the structure of the package itself. > > Bokeh.jl is still a bit rough round the edges and missing some basic > features, but the examples above demonstrate what it can do. > > Bokeh <http://bokeh.pydata.org/en/latest/> is an interactive plotting > library originally developed for python which uses HTML & Javascript as > it's backend to display and manipulate plots. > > Whether by using Bokeh or other libraries, web technologies are the > obvious option for Julia to get great visualization/graphics/UI without the > pain. > > I suggest (and I assume I'm about to get shot down) that the Julia > community stops messing around with any OS specific graphics code and > adopts HTML for all future visualizations. Are there any cases where that > wouldn't work? >
