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Yeah, that's pretty much how it works. The frontend is anything that supports PostgreSQL as a database. Right now we use Tableau but we also used to have a custom WebUI on top of this service, it was very functional-inspired.

Unfortunately Ville is on vacation right now, otherwise he'd be glad to dive more into the details of how that piece worked.

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Author here: Fortunately HN works even in the Finnish countryside. I am happy to answer any questions.

Very inspiring talk! Is it possible to deal with continuous data in those matrices or is it more oriented around discrete values?

Thanks! Our approach supports both discrete and continuous values. It is mainly optimized for the use case where you want to aggregate continuous variables over discrete filters.

Any interest in also trying Parakeet (https://github.com/iskandr/parakeet) for the backend? I'm curious to see how the performance would compare with Numba. I also have a semi-usable Builder API which constructs typed functions at a higher-level than llvmpy.

Why did you guys choose to compile through Numba rather than directly to LLVM or C?

Numba was just the fastest way to get it working. LLVM(py) is very low-level. C is still an option but Numba made interfacing with a no-brainer.

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