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 😊

piperider

Code review for data in dbt

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

koality

Library for data quality monitoring based on duckdb.

validoopsie

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

great-assertions

Lightweight assertions inspired by the great-expectations library

dbression

Rage-quit your flaky DB regressions — modern, lightweight, multi-DB regression testing

data-check

data and pipeline testing with and for SQL

ematix-probe

Declarative data-quality + load probes for Python. Rust + tokio under the hood.

airflow-provider-great-expectations-cta

An Apache Airflow provider for Great Expectations

provero

Declarative data quality engine. Define checks in YAML, run anywhere.

dbt-dqlens

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

piperider-cli

PiperRider CLI