NannyML

Open-source ML monitoring tool detecting model performance degradation without labels

AI Infrastructure & MLOpsFreemium

NannyML is an open-source machine learning monitoring tool that can detect model performance degradation in production even without ground truth labels, using statistical estimation techniques to infer performance changes from prediction distributions. This is critical for real-world ML deployments where true labels are delayed or unavailable. It also provides data drift detection and feature importance tracking. MLOps engineers and data scientists monitoring production models use NannyML to catch model decay early and trigger retraining before business impact becomes significant.

Key Features

• ✓Label-free monitoring
• ✓Performance estimation
• ✓Drift detection
• ✓Feature importance
• ✓Open-source