Frouros: A Python library for drift detection in machine learning systems

TL;DR

Frouros is an open-source Python library that integrates classical and recent algorithms to detect concept and data drift in machine learning systems, designed for compatibility, ease of use, and adaptability.

Contribution

It introduces a versatile, well-maintained library that simplifies drift detection integration across various machine learning frameworks.

Findings

Supports multiple drift detection algorithms

Designed for compatibility with any ML framework

Facilitates real-world application and extensibility

Abstract

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.