I am planning to use it in a project to make the new Congressional API data more approachable for people.

https://api.congress.gov/#/

Hopefully make it easy to find all the bills that your specific congress person was involved in for example.

From what I understand, machine learning models may use this in ETL pipelines as well as serving as part of the models themselves. There's an article on that here: https://medium.com/analytics-and-data/overview-of-the-differ...

FeatureBase could be the "feature store" in the middle of the batch prediction section's diagram, or simply be a drop-in replacement for the model's registry.

many! It was originally developed for marketing use cases- helping marketers understand up-to-date use her behavior and find interesting segments.

But really it's useful anytime you need low latency analytics on fresh data.