Скачать или смотреть Validate your data anywhere: introducing the Ibis backend for Pandera

Pandera is a popular, lightweight data validation library for Python dataframes. While it started as a pandas dataframe validation library, over the years it added support for Modin, PySpark, Polars, and other backends. That said, if your data lived in a database—as data often does—you needed to extract it from the source system using one of these libraries (if possible) and only then execute your checks.

Learn from the contributor who made this possible how the new Ibis backend for Pandera works, enabling you to validate your data efficiently and at scale without ever extracting it from the source system. Since Ibis provides a unified Python dataframe API to 20+ databases and other engines, this one integration extends pandera to work with the execution backend you need.