ranking VS spotlight

Compare ranking vs spotlight and see what are their differences.

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ranking spotlight
1 -
2,714 2,934
0.1% -
6.3 0.0
about 2 months ago over 1 year ago
Python Python
Apache License 2.0 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.

ranking

Posts with mentions or reviews of ranking. We have used some of these posts to build our list of alternatives and similar projects.
  • [D] learning to Rank
    1 project | /r/MachineLearning | 21 Feb 2021
    There are many different models and loss functions used for ranking (Tensorflow Ranking offers a bunch, probably also available for Jax / Pytorch / etc., or easily convertible).

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 ranking and spotlight you can also consider the following projects:

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

torchsort - Fast, differentiable sorting and ranking in PyTorch

fastFM - fastFM: A Library for Factorization Machines

RecBole - A unified, comprehensive and efficient recommendation library

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

BERT-QE - Code and resources for the paper "BERT-QE: Contextualized Query Expansion for Document Re-ranking".

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

recommenders - Best Practices on Recommendation Systems

TensorRec - A TensorFlow recommendation algorithm and framework in Python.

rexmex - A general purpose recommender metrics library for fair evaluation.

libffm - A Library for Field-aware Factorization Machines