Whylogs generates statistical profiles of datasets and ML model data for monitoring and quality tracking. It enables users to track changes in datasets over time, define data constraints to validate data integrity, and visualize statistical properties. The library supports privacy-preserving data collection while providing visibility into model performance for ML pipelines and data operations.