v0.12.2

• Inclusion of bio checks
• Added kwargs to add_rule on Check
• Idea for LogicCheck to create test results combination and result dependency via propositional logic

v0.12.1

• Fixed dagster check utilities
• Upgrade polars to v1.0.0 breaking changes due to count_match deprecation to count_matches
• Mapping between Dagster AssetCheckSeverity and Cuallee CheckLevel for Warning and Error

v0.11.1

• Added is_custom check for row-level validations on pyspark based on a custom function defined by the user

v0.11.0

• Release promoted for zenodo

v0.10.5

• Preparation for Zenodo
• Fix BQ unit test cases

v0.10.4

• Added is is_empty rule. Thanks @minzastro
• Bump versions from duckdb and dagster

v0.10.3

• 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

v0.10.2

• 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

v0.10.1

• Upgrade to duckdb==0.10.2
• Community guidelines in README. Thanks @devarops
• Fix pipeline with new SF account

v0.10.0

• Addition of daft data frame support. Attribution to @dsaad68 👏
• @dsaad68 largest contribution to the project ever! 🏆
• Thanks for covering all: test, docs and code 💯