[Numpy-discussion] Announcing Bokeh 0.2: interactive web plotting for Python

[Jason Grout]

On 10/24/13 1:42 PM, Peter Wang wrote:
> On Thu, Oct 24, 2013 at 10:11 AM, Jason Grout
> <jason-sage at creativetrax.com <mailto:jason-sage at creativetrax.com>> wrote:
>
>     It would be really cool if you could hook into the new IPython comm
>     infrastructure to push events back to the server in IPython (this is not
>     quite merged yet, but probably ready for experimentation like this).
>     The comm infrastructure basically opens up a communication channel
>     between objects on the server and the browser.  Messages get sent over
>     the normal IPython channels.  The server and browser objects just use
>     either send() or an on_message() handler.  See
>     https://github.com/ipython/ipython/pull/4195
>
>
> Yeah, I think we should definitely look into integrating with this
> mechanism for when we are embedded in a Notebook.  However, we always
> want the underlying infrastructure to be independent of IPython
> Notebook, because we want people to be able to build analytical
> applications on top of these components.

That makes a lot of sense.  And looking at the code, it looks like you 
are cleanly separating out the session objects controlling communication 
from the plot machinery.  That will hopefully make it much easier to 
have different transports for the communication.


>
>     Here's a very simple example of the Comm implementation working with
>     matplotlib images in the Sage Cell server (which is built on top of the
>     IPython infrastructure): http://sagecell.sagemath.org/?q=fyjgmk (I'd
>     love to see a bokeh version of this sort of thing :).
>
>
> This is interesting, and introducing widgets is already on the roadmap,
> tentatively v0.4.  When running against a plot server, Bokeh plots
> already push selections back to the server side.  (That's how the linked
> brushing in e.g. this example works:
> https://www.wakari.io/sharing/bundle/pwang/cars)
>
> Our immediate short-term priorities for 0.3 are improving the layout
> mechanism, incorporating large data processing into the plot server, and
> investigating basic interop with Matplotlib objects.
>
>

Great to hear.


Jason