Incremental metrics in pydeequ

Question

In aws deequ framework for scala, there is this very nice example of stateful calculation, which makes deequ a very interesting candidate for our data engineering pipelines: https://github.com/awslabs/deequ/blob/master/src/main/scala/com/amazon/deequ/examples/algebraic_states_example.md

However, currently our complete pipeline is in Python and I did not find this feature in pydeequ.

I mostly find this stackoverflow post, which to me seems to go past the problem: PyDeequ - incremental metrics collection (the problem in my mind is not appending the report, but keeping the internal state of the checks in a state, where I don't have to query the complete dataset to get a metric like a mean for example).

Is there a simple way of reproducing something similar in Python as in the link above?

Thank you very much in advance!