Strengths
- Integrates with pandas and polars without replacing them, fitting into existing workflows.
- Provides end-to-end tools covering data exploration, cleaning, and feature engineering.
- Supports complex multi-table preprocessing pipelines with hyperparameter tuning.
- Offers high customization through column selectors and parameters.
Limitations
- Limited to dataframe-based machine learning preprocessing; does not support low-level array operations.
- Requires user familiarity with pandas or polars to use effectively.