Frouros
An open-source Python library for detecting concept and data drift in machine learning systems.
What is Frouros?
Frouros is an open-source Python library specifically designed for detecting drift in machine learning systems. It helps identify when a deployed model's performance degrades due to changes in data distribution (data drift) or changes in the relationship between input and output (concept drift). This enables proactive model maintenance and retraining to ensure reliable predictions over time.
Machine learning engineers, data scientists, and MLOps practitioners who need to monitor production ML models for performance degradation and maintain model reliability in changing environments.
Developers choose Frouros for its comprehensive, focused collection of drift detection algorithms in a single library, its framework-agnostic design that works with any ML stack, and its principled approach to a single critical task in the ML lifecycle.
Overview
Frouros: an open-source Python library for drift detection in machine learning systems.
Use Cases
Best For
- Monitoring production ML models for performance degradation over time
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