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Recap

Tool https://github.com/recap-cloud/recap is described in https://www.dataengineeringweekly.com/p/recap-a-data-catalog-for-people-who.

Quotes

Traditional catalogs focus on data discovery and curation. Recap focuses on metadata
that software needs–schema, access controls, data profiles, indexes, and queries. Recap
could be part of a traditional data catalog, something you could use to build a data
catalog, but it isn’t a data catalog.

Tools can leverage metadata:

Data quality, data contract, data discovery, compliance, governance, and ETL tools all
need metadata–row counts, cardinality, distribution, max, min, number of nulls, and so on.

While tools can often scan metadata and extract the information on their own, repeated scanning increases the cost.
A solution is to re-use once scanned data.

What is often missing is reasonable API:

They still lack many features that engineers want: a decent CLI, a nice library, a small operational
footprint, deep and robust data statistics, and a composable architecture. 
...
It runs with no web front-end, no scheduler, no orchestrator, and no external system dependencies.

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