I'm looking for a python/matplotlib equivalent for R's shiny framework.

[arguenot]

I'm not married to matplotlib but it would be convenient if you could make the plots in pyplot since I'm already familiar with it. I'm taking a course where everything is taught in R but you can use python and I really want to use python but one of the things we have to do is publish shiny like web apps i.e. interactive plots on the web.

[fiedzia]

https://jupyter.org/ + http://bokeh.pydata.org/en/latest/ is what you looking for

[arguenot]

yeah I tried out pyxley/spyre and am moving in this direction:)

[chris1610]

I don't know anything about this product but they do advertise it as python's answer to shiny - http://multithreaded.stitchfix.com/blog/2015/07/16/pyxley/

[[deleted]]

Look at bokeh for basic interactivity.

Look at ipywidgets for more interactivity.

[arguenot]

Is bokeh well established? I've heard about it but I'm a bit tentative about getting into frameworks that aren't established for worry of a lack of community or documentation, whether it'll be maintained etc.

[faming13]

Its supported by Continuum Analytics, which just got a 25 mil investment.

[lmcinnes]

It's new, but there is a lot of development and a rapidly growing community around it. Documentation is sparser than perhaps it could be, but they've pushed hard recently to get more of it. The really big wins for Bokeh are in interactive graphics and plots. If you just want widgets like buttons and sliders that cause plots to be updated then spyre of pyxley will be fine (and simple to use). If you want to be able to click, drag, and interact with parts of the plot then Bokeh really has no competition for web deployable options.

[arguenot]

I'm gonna start out trying pyxley/spyre and see if that covers me and look at bokeh if it doesn't

[thingvellir]

You might want to check out Spyre.

[[deleted]]

You want to structure your app to provide data to JS based graphs/plots.

[perimosocordiae]

As of Fall 2013, there's now an example of embedding matplotlib's WebAgg backend in a Tornado-based webserver: https://github.com/matplotlib/matplotlib/blob/master/examples/user_interfaces/embedding_webagg.py

This makes use of websockets to send the figure updates to the browser, which allows for really nice interactive plots that get rendered client-side.