handy_sql_queries VS recidiffist

Compare handy_sql_queries vs recidiffist and see what are their differences.

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handy_sql_queries recidiffist
2 1
1 15
- -
4.5 10.0
10 months ago over 5 years ago
Clojure
The Unlicense Eclipse Public License 1.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

handy_sql_queries

Posts with mentions or reviews of handy_sql_queries. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-26.

recidiffist

Posts with mentions or reviews of recidiffist. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-26.
  • Data diffs: Algorithms for explaining what changed in a dataset (2022)
    8 projects | news.ycombinator.com | 26 Jul 2023
    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.

What are some alternatives?

When comparing handy_sql_queries and recidiffist you can also consider the following projects:

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

datacompy - Pandas and Spark DataFrame comparison for humans and more!

ExplainDaV

macrobase-diff - Minimal implementation of Macrobase Diff

dbt-audit-helper - Useful macros when performing data audits

diffable-sql

Apache Calcite - Apache Calcite