CITATION.cff

cff-version: 1.2.0
title: >-
  Frouros: An open-source Python library for drift detection
  in machine learning systems
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Jaime
    family-names: Céspedes Sisniega
    email: cespedes@ifca.unican.es
    orcid: 'https://orcid.org/0000-0002-6010-1212'
    affiliation: >-
      Institute of Physics of Cantabria, Spanish National
      Research Council — IFCA (CSIC—UC)
  - given-names: Álvaro
    family-names: López García
    email: aloga@ifca.unican.es
    orcid: 'https://orcid.org/0000-0002-0013-4602'
    affiliation: >-
      Institute of Physics of Cantabria, Spanish National
      Research Council — IFCA (CSIC—UC)
identifiers:
  - type: doi
    value: 10.1016/j.softx.2024.101733
    description: SoftwareX
  - type: doi
    value: 10.48550/arXiv.2208.06868
    description: arXiv
repository-code: 'https://github.com/IFCA-Advanced-Computing/frouros'
url: 'https://frouros.readthedocs.io'
repository: 'https://github.com/ElsevierSoftwareX/SOFTX-D-24-00119'
repository-artifact: 'https://pypi.org/project/frouros'
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, covering both concept and data drift. We have designed it to be compatible with any machine learning framework and easily adaptable to real-world use cases. The library is developed following best development and continuous integration practices to ensure ease of maintenance and extensibility.
keywords:
  - Machine learning
  - Drift detection
  - Concept drift
  - Data drift
  - Python
license: BSD-3-Clause
commit: 4e1e27ee73507b15090f0038d8dda7c67485b728
version: 0.8.0
date-released: '2024-04-03'