Pleco

Straightforward data validation since the Jurassic.

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This is a work in progress, use it at your own risk!

Goals

• Intuitive and simple to use - the opposite of Great Expectations
• Consistently structured - e.g., don't make type checks and value checks behave differently (looking at you Pandera)
• Focused on doing one thing well - loading, partitioning, reporting, etc. belong to others
• 100% coverage of Great Expectations core

Progress and Potential Path Forward

• Foundational interfaces: Expectation and Runner
• Initial Pandas support: PandasRunner, 22% coverage of core expectations
• Initial Polars support
• Initial PySpark support
• Compatability package that allows users to define expectations exactly how they're defined in Great Expectations
• 100% coverage of single-column expectations from Great Expectations
• 100% coverage of multi-column expectations from Great Expectations