Interactive Graphics What to Use?

[Larry Eisenberg]

Hi,

I am looking to code up some interactive network graphics, but I am not sure which python packages to use, including whether or not I should use Networkx. The networks will most likely be Trees. The program would be acessed via a browser So far these are some of the choices that I know of:

1) Networkx with Bokeh - Melanie Walsh has sue examples

2) Networkx with pyvis

3) Dash however I was looking to use Django and I am not sure if that would work as Dash is built on a Flask framework according Jishul Wang.

4) Plotly but my impression is that this would not be an efficient choice: more code required

I appreciate any suggestions members of the group might have. Thanks.

[Layne Sadler]

One tool not mentioned in the NetworkX drawing docs is Vis.js networks, which are interactive with support for custom events. JS is nice because JQuery is meant for customizing mouse/browser-based interactions.

Some notes from previous surveys of other tools: Plotly does not allow you to hover over lines drawn between points, which makes visualizing edges a challenge.  Dash can be embedded in Django: https://pypi.org/project/django-plotly-dash/ . Dash and Plotly are one and the same. Similar to R Shiny and ggplot2. Neo4j's neoviz is not supported because they want to monetize bloom.

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[Ross Barnowski]

I don't have much experience with browser visualization, so I can't comment on the relative merits of the approaches discussed above.

I did however want to call attention to the javascript plotting example in the gallery, which demonstrates using NetworkX + D3.js for visualization. At the very least that example will hopefully give you an idea of whether that particular approach would meet your needs.

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[Chris Myers]

I have not done anything integrating networkx with bokeh, but I have done some other things with bokeh.  Depending on what type of interactivity you are looking for, you might be interested in bokeh's capabilities to run a server rather than just a static (but interactive) html page, by which you can write Python callbacks to manipulate or display different data based upon user interactions.  Running a bokeh server is described at https://docs.bokeh.org/en/2.3.2/docs/user_guide/server.html and can support running an application either locally in the browser (via localhost) or as a full-fledged web app.

Chris

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[Larry Eisenberg]

Many thanks Layne, Ross and Chris.   I very much appreciate your comments.   I guess I have some work to do.  If I find out anything that may be of interest I will let you know.