Bokeh Server on Anaconda Cloud Notebook?

Community Support
1

I did a class project using Bokeh in various forms, and it’s currently hosted locally. I’d like to put it on the web, to make it accessible to others.

I copied one segment of the project into a notebook, and added the last two lines to make it display correctly.

However, the Bokeh plot does not update in response to user inputs. It is static.

Is there a way to make the plot dynamic? Can this be done in Python, or does it require javascript? Looking for ideas on how to put this on the web.

My Notebook

2

Hi,

Anaconda Cloud only hosts static, rendered notebooks. Standalone Bokeh plots that are interactive via CustomJS, etc. will function there, but anything that requires running real python code (e.g. Bokeh server applications) will not. Live notebooks are supported in the Anaconda Enterprise platform, but this is a commercial product. Live notebooks may come in the future to a publicly available Anaconda service, but I can't offer any speculation about timeframes. In the mean time, for a free service to run notebooks, MyBinder works well. For example, you can see and run the bokeh-notebooks repo here:

  https://mybinder.org/v2/gh/bokeh/bokeh-notebooks/master?filepath=tutorial%2F00%20-%20Introduction%20and%20Setup.ipynb

You could do the same for any GitHub repo with your own notebooks in it.

Thanks,

Bryan

···

On Dec 22, 2017, at 21:26, Asher <[email protected]> wrote:

I did a class project using Bokeh in various forms, and it's currently hosted locally. I'd like to put it on the web, to make it accessible to others.

I copied one segment of the project into a notebook, and added the last two lines to make it display correctly.

However, the Bokeh plot does not update in response to user inputs. It is static.

Is there a way to make the plot dynamic? Can this be done in Python, or does it require javascript? Looking for ideas on how to put this on the web.

My Notebook

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3

Thank you Brian! Will try mybinder, that looks promising. I chose Bokeh thanks to your DataCamp tutorial :).