Data validation in Python: a look into Pandera and Great Expectations

@faun ・ May 05,2023

Data validation is crucial for downstream processing of data, as poor data quality can have significant impacts on production systems.

Pandera and Great Expectations are popular Python libraries for performing data validation.
Pandera provides an easy way to define validation checks against the columns in your data using a DataFrameSchema, while Great Expectations is a more complex tool that requires creating a Data Context, DataSource, and Expectation Suite.
Both libraries generate data validation tests automatically and provide the ability to customize these tests.
Use these tools to ensure that your data meets the expectations of downstream consumers, identify data issues, and maintain data quality.