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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

piperider

Code review for data in dbt

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

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.

validoopsie

A simple and easy to use Data Validation library for Python.

koality

Library for data checks and data quality monitoring based on duckdb.

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