Utility to compare data between homogeneous or heterogeneous environments to ensure source and target tables match
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Data validator agains Splunk Common Information Model (CIM)
Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.
Declarative data quality engine. Define checks in YAML, run anywhere.
- airflow
- anomaly-detection
- data-contracts
- data-quality
Validates tabular CSV data using predefined validations, inspired from its Python homologue "Great Expectations".
- common-lisp
- csv
- data-validation
- great-expectations
Open, audit-grade agentic data quality framework with portable industry packs