rbokeh

Actually, we'd LOVE to get a bokeh.rb project going! Most of the power of Bokeh is in the BokehJS runtime, and in our M-VM-V-C architecture for visualization. The Python code is just generating a JSON representation of the plot, but it's relatively straightforward to do that from any language. You can see front-end implementations in other languages: * R: https://github.com/bokeh/rbokeh * Scala: https://github.com/bokeh/bokeh-scala * Julia: https://github.com/bokeh/Bokeh.jl The Facebook data science folks even implemented a small Bokeh wrapper in Lua, as part of their iTorch package: https://github.com/facebook/iTorch/blob/master/Plot.lua So, you can see that you can get started with a basic wrapper, and then build up from there. The Lua wrapper is only ~850 lines. If you want to pop over to the mailing list or on our Github, we'd

You might take a look at Bokeh (http://bokeh.pydata.org) and either the PyData stack or R (Bokeh can be used from R as well: https://github.com/bokeh/rbokeh). Bokeh inside a Jupyter notebook with widgets and/or emerging "Bokeh Apps" is a powerful application stack. Anaconda is a single download that can help you get started with all the tools (including R): http://continuum.io/downloads It still requires some coding but it is very powerful. There are a lot of examples in the Bokeh gallery and in examples directory: https://github.com/bokeh/bokeh/tree/master/examples . There are several devs on Bokeh mailing list eager to help and the company behind Bokeh (http://continuum.io) can provide more significant help if you need it.