Data Testing Python Packages

airflow-provider-great-expectations

Great Expectations Airflow operator

pointblank

Data validation toolkit for assessing and monitoring data quality.

piperider-nightly

Code review for data in dbt

soda-spark

Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes

re-data

re_data - fix data issues before your users & CEO would discover them 😊

dataops-testgen

DataOps Data Quality TestGen is part of DataKitchen's Open Source Data Observability. DataOps TestGen delivers simple, fast data quality test generation and execution by data profiling,  new dataset hygiene review, AI generation of data quality validation tests, ongoing testing of data refreshes, & continuous anomaly monitoring

piperider

Code review for data in dbt

validoopsie

Validoopsie is a simple and light data validation library.

great-assertions

This library is inspired by the Great Expectations library. The library has made the various expectations found in Great Expectations available when using the inbuilt python unittest assertions.

koality

Library for data quality monitoring based on duckdb.

dbt-dqlens

Data quality for dbt, without writing tests. Auto-generates dbt tests by profiling your database.

data-check

data and pipeline testing with and for SQL

airflow-provider-great-expectations-cta

Great Expectations Airflow operator

provero

A vendor-neutral, declarative data quality engine

piperider-cli

Code review for data in dbt