deep-diff2 VS macrobase-diff

At Latacora, we use a giant pile of Clojure (almost everything, with specific measured exceptions, is). As a side effect, we have a lot of data. Not necessarily a lot in the sense of "big S3 bill", but definitely a lot in the sense of "you might not expect this being in a machine-readable format".

Things like: what Lambdas existed in a customer AWS account 6 months ago in us-east-2 that had access to a specific SQS queue (because we learned later that one of the consumers of that queue would actually consume Python pickles if you asked nicely, and hence get you RCE).

As a side effect, we do a lot of data diffing: just mostly on more vanilla Clojure structures rather than data sets in the Datasette/CSV/... sense.

For example: https://github.com/latacora/recidiffist (which we also have wired up to Terraform + S3, so if you write some files to S3, you can get the structured diffs right next to it for free). It's one of those things that's incredibly simple and works ridiculously well. Well, if you do it consistently anyway.

Also https://github.com/lambdaisland/deep-diff2 for when we're more interested in presenting it to humans.

some years ago when I was digging into DIFF and Macrobase (the one from Ballis lab) I made a simple reproduction of DIFF algo https://github.com/PiotrZakrzewski/macrobase-diff