Add the Pointblank library to the Data Validation section #2712
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What is this Python project?
The aim of the Pointblank project is to validate DataFrames and database tables. You can add schema checks, many types of value checks, and checks for duplicates and incomplete records. It produces beautiful HTML reporting tables that can be sent to data stakeholders. This library is useful for validating data analysis code in notebooks and it also scales to data validation in pipeline processes.
What's the difference between this Python project and similar ones?
This library is focused on tables (and not other data structures). It produces reporting artifacts useful for communicating data quality issues. It is compatible with a huge number of table types since it uses Narwhals and Ibis as compatibility layers.
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