| Name | databricks-labs-dqx JSON |
| Version |
0.7.1
JSON |
| download |
| home_page | None |
| Summary | Data Quality eXtended (DQX) is a Python library for data quality checks and data quality monitoring |
| upload_time | 2025-07-23 16:42:02 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | None |
| keywords |
databricks
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
|
DQX by Databricks Labs
===
<p align="center">
<a href="https://github.com/databrickslabs/dqx">
<img src="https://raw.githubusercontent.com/databrickslabs/dqx/refs/heads/main/./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.
[](https://github.com/databrickslabs/dqx/actions/workflows/push.yml)
[](https://codecov.io/github/databrickslabs/dqx)
[](https://pypi.org/project/databricks-labs-dqx/)
# Documentation
The complete documentation is available at: [https://databrickslabs.github.io/dqx/](https://databrickslabs.github.io/dqx/)
# Contribution
Please see the contribution guidance [here](https://databrickslabs.github.io/dqx/docs/dev/contributing/) 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](https://github.com/databrickslabs/dqx/issues).
They will be reviewed as time permits, but no formal SLAs for support exist.
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