LightFM vs spotlight

LightFM

A Python implementation of LightFM, a hybrid recommendation algorithm. (by lyst)

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spotlight

Deep recommender models using PyTorch. (by maciejkula)

Recommender Systems recommender-system Deep Learning learning-to-rank Python Machine Learning matrix-factorization Pytorch

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LightFM		spotlight
	Project
-	Mentions	-
4,600	Stars	2,934
0.7%	Growth	-
4.8	Activity	0.0
4 months ago	Latest Commit	over 1 year ago
Python	Language	Python
Apache License 2.0	License	MIT License

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

LightFM

Posts with mentions or reviews of LightFM. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning LightFM yet.
Tracking mentions began in Dec 2020.

spotlight

Posts with mentions or reviews of spotlight. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning spotlight yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing LightFM and spotlight you can also consider the following projects:

Surprise - A Python scikit for building and analyzing recommender systems

fastFM - fastFM: A Library for Factorization Machines

tensorflow - An Open Source Machine Learning Framework for Everyone

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

MLflow - Open source platform for the machine learning lifecycle

TensorRec - A TensorFlow recommendation algorithm and framework in Python.

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

libffm - A Library for Field-aware Factorization Machines

Keras - Deep Learning for humans

PERSIA - High performance distributed framework for training deep learning recommendation models based on PyTorch.