RecSys-Libraries

A list of libraries for recommender systems. Feel free to send a request to add/update the information.
The list is sorted in alphabetical order

Name	Language	Type	License	Reference
Crab	Python	RS	BSD
CARSKit	Java	CARS	GPL	Yong Zheng, Bamshad Mobasher, Robin Burke. "CARSKit: A Java-Based Context-aware Recommendation Engine", Proceedings of the 15th IEEE International Conference on Data Mining (ICDM) Workshops, pp. 1668-1671, Atlantic City, NJ, USA, Nov 2015
DeepCTR	Python	ML	Apache 2.0	Weichen Shen, DeepCTR: Easy-to-use,Modular and Extendible package of deep-learning based CTR models, 2017
EasyRec	Python	RS	Apache-2.0	EasyRec: An easy-to-use, extendable and efficient framework for building industrial recommendation systems, AAAI'23
ELLIOT	Tensorflow	RS	Apache 2.0	Anelli, Vito Walter and Bellogin, Alejandro and Ferrara, Antonio and Malitesta, Daniele and Merra, Felice Antonio and Pomo, Claudio and Donini, Francesco Maria and Di Noia, Tommaso, Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation, SIGIR'21
fastFM	Python	ML		Bayer, Immanuel. "fastFM: A library for factorization machines." Journal of Machine Learning Research 17.184 (2016): 1-5.
Gorse	Go	RS	Apache 2.0
LightFM	Python	RS	Apache 2.0	Maciej Kula, Metadata Embeddings for User and Item Cold-start Recommendations. Proceedings of the 2nd Workshop on New Trends on Content-Based Recommender Systems co-located with 9th {ACM} Conference on Recommender Systems (RecSys 2015), Vienna, Austria, September 16-20, 2015.
LibRec	Java	RS	GPL	Guo, Guibing, et al. "LibRec: A Java Library for Recommender Systems." UMAP Workshops. 2015.
LensKit	Java	RS	LGPL	Ekstrand, Michael D., et al. "LensKit: a modular recommender framework." Proceedings of the fifth ACM conference on Recommender systems. ACM, 2011.
LODRecLib	Java	LODRS	MIT	Noia, Tommaso Di, et al. "Sprank: Semantic path-based ranking for top-n recommendations using linked open data." ACM Transactions on Intelligent Systems and Technology (TIST) 8.1 (2016): 9.
libFM	C++	ML	GPL	Steffen Rendle (2012): Factorization Machines with libFM, in ACM Trans. Intell. Syst. Technol., 3(3), May
MTRecLib	PyTorch	MTRS		"Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising" KDD'21
Merlin	Python	RS	Apache 2.0
MyMedialite	C#	RS	GPL	Gantner, Zeno, et al. "MyMediaLite: A free recommender system library." Proceedings of the fifth ACM conference on Recommender systems. ACM, 2011.
Mahout	Java	ML	Apache 2.0
MMRec	Python	MMRS	GPL 3.0	Hongyu Zhou, et al. "A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions". arXiv:2302.04473
NeuRec	Python, Tensorflow	RS	MIT
OpenLearning4DeepRecSys	Tensorflow	RS
python-recsys	Python	RS
QRec	Tensorflow	RS
recmetrics	Python	Metrics	MIT
recommenders	Python	RS	MIT
Recommender-System	Tensorflow	RS	MIT
RankSys	Java	RS	MPL	https://github.com/RankSys/RankSys/wiki/References
RankLib	Java	RS	BSD
RecBole	PyTorch	RS	MIT	Wayne Xin Zhao et. al, RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms, CIKM'21
recommenderlab	R	RS		Michael Hahsler (2022) recommenderlab: An R framework for developing and testing recommendation algorithms. arXiv:2205.12371
SELFRec	PyTorch, Tensorflow	SSL		Yu, Junliang et. al, Self-Supervised Learning for Recommender Systems: A Survey
Suprise	Python	RS	BSD-3-Clause	Nicolas Hug, Surprise: A Python library for recommender systems
Tensorflow Recommenders	Tensorflow	RS	Apache 2.0
TensorRec	Tensorflow	RS	Apache 2.0
tffm	Tensorflow	RS	MIT