I have a dashboard built on plotly dash. The dashboard updates in real-time and it includes a lot of processing of independent files. For example, there are five different time series in the dashboard and they could feasibly update separately and in parallel because they are completely independent from one another.
I am hosting the dashboard locally on a windows machine. Based on the commentary in the dash plotly forum, it sounds like the best way to get parallel processing is by using a job cue like waitress or celery.
What is the best tool to use to take advantage of parallel processing?
These are three options:
from What's the best way to take advantage of parallel processing with dash on windows?
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