- Added `is_custom` check for row-level validations on `pyspark` based on a custom function defined by the user
0.11.0
- Release promoted for `zenodo`
0.10.5
- Preparation for Zenodo - Fix BQ unit test cases
0.10.4
- Added is `is_empty` rule. Thanks minzastro - Bump versions from duckdb and dagster
0.10.3
- Added `approximate` flag into the `is_complete` implementation for `pyspark` to run comparisson with `pydeequ` - Resolved JOSS issues for documentation and references against other data quality frameworks - Updated the `test/performance` folder with recent versions of all frameworks and accurate `docker` containers for each test
0.10.2
- Added documentation to main classes `Check` and `Rule` - Changed to `base=2` the implementation of `has_entropy` for `pyspark` as it does reflect with the common uses