great_expectations
https://github.com/great-expectations/great_expectations
Python
Always know what to expect from your data.
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- Issues
- Incorrect validation_result["results"]["exception_info"] structure when raised_exception == True
- Unquoted strings in `unexpected_index_query` values of gx.ValidationDefinition.run() result
- [BUG] Databricks is not able to recognize complex datatypes (`struct`, `map`, `array`)
- [BUG] Custom expectation takes too long to execute when the {batch} parameter is used in a custom query but when you pass the table name to the query instead execution time becomes lesser
- Cascading and spillover of exception_traceback info all over other expectations
- All expectations fail if one fails with 'unrecognized condition_parser None for Spark execution engine'
- Missing Failed Row Identification in Results for expect_column_values_to_be_type and expect_column_values_to_be_in_type_list Expectations
- Add Option to Disable Persistence in Spark Expectations for Serverless Compatibility
- unexpected_index_query
- Use Narwhals instead of Pandas
- Docs
- Python not yet supported