{"library":"pydeequ","type":"library","category":null,"description":"PyDeequ is a Python API for Deequ, a library built on top of Apache Spark for defining 'unit tests for data', which measure data quality in large datasets. The current version is 1.5.0, released on April 1, 2025. PyDeequ follows a regular release cadence, with updates approximately every few months.","language":"python","status":"active","version":"1.5.0","tags":["data quality","unit tests","Apache Spark","Python API"],"install":[{"cmd":"pip install pydeequ","imports":["from pydeequ.analyzers import AnalysisRunner"]}],"homepage":"https://pydeequ.readthedocs.io","github":"https://github.com/awslabs/python-deequ","docs":"https://pydeequ.readthedocs.io","changelog":null,"pypi":"https://pypi.org/project/pydeequ/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":7.7,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/pydeequ/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}