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Data validation for scientists, engineers, and analysts seeking correctness.

Pandera is a Union.ai open source project that provides a flexible and expressive API for performing data validation on dataframe-like objects. The goal of Pandera is to make data processing pipelines more readable and robust with statistically typed dataframes.

Pandera supports multiple dataframe libraries, including pandas, polars, pyspark, and more. To validate pandas DataFrames, install Pandera with the pandas extra:

With pip:

With uv:

With conda:

First, create a dataframe:

Validate the data using the object-based API:

Or validate the data using the class-based API:

See the official documentation to learn more.