Source: https://github.com/eu-parc/dataguard
Documentation: https://eu-parc.github.io/dataguard/

• Flexible validation checks: Define simple checks using built-in commands (equality, comparisons, nullability, etc.)
• Complex check expressions: Combine multiple checks with conjunctions (and), disjunctions (or), and conditionals (when-then)
• N-ary expressions: Support for 2 or more expressions in conjunction/disjunction operations (v0.5.0+)
• Nested expressions: Compose complex conditions by nesting check expressions
• Custom validation functions: Define your own validation logic following the framework's signature pattern
• DataFrame-level checks: Apply validations across entire dataframes or specific column groups
• Config-based filtering: Filter rows and columns using the same expression notation as checks — simple predicates or compound conjunctions/disjunctions/conditionals
• Detailed error reporting: Collect and format validation errors with custom messages and severity levels
• Polars support: Built on Polars for efficient data processing at scale

To install the library for development.

$ uv sync

$ make test

$ make format

$ make lint