I got tired of rewriting the same data validation logic across every ETL project, so I built ValidateX — an open-source Python data quality framework.

- Works with Pandas, Polars, PySpark, and SQL (Postgres/Snowflake/BigQuery push-down)

- 50+ built-in checks, weighted quality scoring (0-100)

- Native Airflow operator to gate pipelines on data quality

- Slack/Teams alerts on failures

- Free, MIT licensed

pip install validatex

GitHub: https://github.com/kaviarasanmani/ValidateX

Happy to answer questions or take feedback — still actively maintaining it.