You're probably right about research publications, I guess plots these
don't need to be interactive which makes things easier from a cross
platform perspective.
Performance wise I'm not sure you're right, with Julia 0.3.6 and latest
packages:
julia> using Gadfly
julia> x=1:1000000
1:1000000
julia> y=sqrt(x);
julia> @time draw(PNG("test.png", 6inch, 3inch), plot(x=x, y=y))
elapsed time: 33.860814218 seconds (2043746808 bytes allocated, 3.83% gc
time)
julia> import Bokeh
julia> Bokeh.autoopen(true)
true
julia> @time Bokeh.plot(x, y)
elapsed time: 1.557460583 seconds (125617712 bytes allocated)
Plot("Bokeh Plot" with 1 datacolumns)
Timing on my phone, the Bokeh plot had opened in chrome in 6 seconds. It
was a little slow but still fine to zoom/pan etc.
One of the nice things about Bokeh is that unlike d3, plotly or Gadfly it
uses canvas not SVG for it's plots which makes it way faster.
--
Samuel Colvin
[email protected],
07801160713
On 23 February 2015 at 18:00, Stefan Karpinski <[email protected]> wrote:
> 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?
>>
>
>
