LightFM VS implicit

Compare LightFM vs implicit and see what are their differences.

LightFM

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

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets (by benfred)
Our great sponsors
  • SonarQube - Static code analysis for 29 languages.
  • Scout APM - Less time debugging, more time building
  • JetBrains - Developer Ecosystem Survey 2022
LightFM implicit
0 3
4,057 2,819
1.5% -
6.4 8.2
3 months ago 9 days ago
Python Python
MIT 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.

implicit

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

What are some alternatives?

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

Surprise - A Python scikit for building and analyzing recommender systems

tensorflow - An Open Source Machine Learning Framework for Everyone

spotlight - Deep recommender models using PyTorch.

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

MLflow - Open source platform for the machine learning lifecycle

Keras - Deep Learning for humans

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

fastFM - fastFM: A Library for Factorization Machines

TensorRec - A TensorFlow recommendation algorithm and framework in Python.

Crab - Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).

matrix-factorization - Library for matrix factorization for recommender systems using collaborative filtering

scikit-learn - scikit-learn: machine learning in Python