NannyML

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 ⚡️