Frouros: A Python library for drift detection in machine learning systems
This provides a tool for practitioners to monitor and maintain ML system performance over time, though it is incremental as it packages existing algorithms.
The authors introduced Frouros, an open-source Python library for detecting concept and data drift in machine learning systems, designed to be compatible with any framework and adaptable to real-world use cases.
Frouros is an open-source Python library capable of detecting drift in machine learning systems. It provides a combination of classical and more recent algorithms for drift detection: both concept and data drift. We have designed it with the objective of making it compatible with any machine learning framework and easily adaptable to real-world use cases. The library is developed following a set of best development and continuous integration practices to ensure ease of maintenance and extensibility. The source code is available at https://github.com/IFCA/frouros.