DATAFRAMELY

Summary from the TLDR newsletter

Dataframely is a Python package for validating the schema and content of 'polars' data frames. It is aimed at making data pipelines more robust, by ensuring that data meets expectations, and more readable, by adding schema information to data frame type hints. It can be used to declaratively define schemas as classes with arbitrary inheritance structures, specify column-specific validation rules, validate data frames, integrate schemas with external tools, and much more.