DQX by Databricks Labs

<p align="center"> <a href="https://github.com/databrickslabs/dqx"> <img src="docs/dqx/static/img/logo.svg" class="align-center" width="200" height="200" alt="logo" /> </a> </p>

Simplified Data Quality checking at Scale for PySpark Workloads on streaming and standard DataFrames.

📖 Documentation

The complete documentation is available at: https://databrickslabs.github.io/dqx/

🛠️ Contribution

Please see the contribution guidance here on how to contribute to the project (build, test, and submit a PR).

💬 Project Support

Please note that this project is provided for your exploration only and is not formally supported by Databricks with Service Level Agreements (SLAs). They are provided AS-IS, and we do not make any guarantees. Please do not submit a support ticket relating to any issues arising from the use of this project.

Any issues discovered through the use of this project should be filed as GitHub Issues on this repository. They will be reviewed as time permits, but no formal SLAs for support exist.