What are some tools/best practices that Causal Inferencing teams use for experimentation?

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  • causalnex

    A Python library that helps data scientists to infer causation rather than observing correlation.

  • As for causal libraries I'd recommend CausalNex, it's the only library that I know that does Judea Pearl's do() operator, and I think that's really great if you want to intervene over causal knowledge (that you'll want).

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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