implicit VS annoy

Compare implicit vs annoy and see what are their differences.

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets (by benfred)

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk (by spotify)
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implicit annoy
3 18
2,869 10,077
- 0.9%
8.2 3.6
8 days ago about 2 months ago
Python C++
MIT License Apache License 2.0
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.

implicit

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

annoy

Posts with mentions or reviews of annoy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-17.

What are some alternatives?

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

faiss - A library for efficient similarity search and clustering of dense vectors.

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.

hnswlib - Header-only C++/python library for fast approximate nearest neighbors

fastFM - fastFM: A Library for Factorization Machines

TensorRec - A TensorFlow recommendation algorithm and framework in Python.

RecBole - A unified, comprehensive and efficient recommendation library

spotlight - Deep recommender models using PyTorch.

libffm - A Library for Field-aware Factorization Machines