Bokeh integration #17
Description
Bokeh is a Python/javascript based data presentation tool.
It allows creation of WEB based interfaces, where data can be pushed from server Python code to client javascript code. I used Bokeh to create an oscilloscope with a Jupyter server running on Red Pitaya.
The client was able to achieve 18fps (frames per second). Unfortunately I was unable to polish the code further then a buggy demo.
In addition to Bokeh running in Jupyter, it also allows the creation of standalone applications, where the entire screen is dedicated to the application. But again, I was unable to get it to work.
If Bokeh supported waveforms, it would be possible to create a web based logic analyzer.
Another application would be a WEB based waveform viewer for the Python based logic analyzer sigrok.
Support for zooming is already part of Bokeh, I see a far zoom-out as the main problem, since it requires a lot of data to be compressed onto a limited screen. If this is not optimized, viewing can become slow.
This is an example I stated from, most other examples I linked to are just source code, this one is active.
https://demo.bokeh.org/sliders
You probably already know EPWave, but this one is not open source.