How to efficiently get patched data in python

I am trying to implement an alternative table widget for Panel as a Bokeh extension.

Currently I’m working on the flow:

1. A user updates some data in the client table.
2. Via javascript code I patch the ColumnDataSource on the Bokeh model
3. Via python code I update the source DataFrame value on my Panel Python widget.

I can support 1+2. Now I’m looking at 3. For inspiration I’m looking at the panel.widgets.DataFrame implementation. And from that it looks like what I can get is information that the data changed and then all the data. Then I have to find out which (single value) actually changed and update the data.

This seems inefficient. Is there a way to react to a patching event where I get information on the column/ key, index and new value only?

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Additional Context

I guess one way is just on my model to add a _patched_data property that I can listen to changes of.