recidiffist
ExplainDaV
recidiffist | ExplainDaV | |
---|---|---|
1 | 1 | |
15 | 10 | |
- | - | |
10.0 | 10.0 | |
over 5 years ago | over 1 year ago | |
Clojure | Python | |
Eclipse Public License 1.0 | - |
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recidiffist
-
Data diffs: Algorithms for explaining what changed in a dataset (2022)
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.
ExplainDaV
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Data diffs: Algorithms for explaining what changed in a dataset (2022)
Of interest might be Explain-Da-V[0] which will be presented at VLDB this year.
[0] https://github.com/shraga89/ExplainDaV
What are some alternatives?
handy_sql_queries
deep-diff2 - Deep diff Clojure data structures and pretty print the result
spark-extension - A library that provides useful extensions to Apache Spark and PySpark.
lakeFS - lakeFS - Data version control for your data lake | Git for data
macrobase-diff - Minimal implementation of Macrobase Diff
Apache Calcite - Apache Calcite