The fusion of multiple ranked lists of elements into a single aggregate list is a well-studied research field with numerous applications in Bioinformatics, recommendation systems, collaborative filtering, election systems and metasearch engines.
FLAGR is a high performance, modular, open source library for rank aggregation problems. It implements baseline and recent state-of-the-art aggregation algorithms that accept ranked preference lists and generate a single consensus list of elements. A portion of these methods apply exploratory analysis techniques and belong to the broad family of unsupervised learning techniques.
PyFLAGR is a Python library built on top of FLAGR library core. It can be easily installed with pip and used in standard Python programs and Jupyter notebooks.
FLAGR Website: [https://flagr.site/](https://flagr.site/)
GitHub repository: [https://github.com/lakritidis/FLAGR](https://github.com/lakritidis/FLAGR)
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