DataGuard
Source: https://github.com/eu-parc/dataguard
Documentation: https://eu-parc.github.io/dataguard/
Features
- 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
Installation
To install the library for development.
Synchronize the project dependencies
$ uv sync
Tests
$ make test
Format
$ make format
lint
$ make lint
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