could you give a brief overview of: - what libs were you using - what kind of algos / models were most useful for what kind of data?

I have an IoT use-case, I wanted to look both at NNs and more classical stats models to see if it has value

Can't for obvious reasons. But no specialized libraries used. The usual Python stack that comes packaged for any respectable OS distribution these days, mixed in with other close-to-the-metal languages for performance or API compatibility reasons.

Look up nonparametric statistical process control and you will find useful papers. The algorithms are actually quite simple to implement. If the algorithms are not simple then probably they are not worth your time. The analysis in the paper might be complicated, don't worry about that, look for simplicity of the algorithms.