NannyML is an open-source python library for estimating post-deployment model performance (without access to targets), detecting data drift, and intelligently link data drift alerts back to changes in model performance. Built for data scientists, NannyML has an easy-to-use interface, interactive visualizations, is completely model-agnostic and currently supports all tabular use cases, classification, and regression. Key features: - Performance Estimation (without access to targets) and Calculation - Business Value Estimation and Calculation - Data Quality - Multivariate Drift Detection To get started, check our GitHub ⚡️