Rumale VS XGBoost

Compare Rumale vs XGBoost and see what are their differences.

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Rumale XGBoost
1 -
746 98
- -
8.1 5.6
about 2 months ago 5 months ago
Ruby Ruby
BSD 3-clause "New" or "Revised" 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.


Posts with mentions or reviews of Rumale. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-11.
  • UMAP clustering in Ruby
    9 projects | | 11 Oct 2022
    Ruby users often use Rumale for machine learning. t-SNE is included in Rumale, but UMAP is not.


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

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

What are some alternatives?

When comparing Rumale and XGBoost you can also consider the following projects:

tensorflow.rb - tensorflow for ruby

weka - Machine Learning & Data Mining with JRuby

Ruby Linear Regression - Linear regression implemented in Ruby.

LightGBM - High performance gradient boosting for Ruby

Eps - Machine learning for Ruby

Edits - Edit distance algorithms inc. Jaro, Damerau-Levenshtein, and Optimal Alignment

ruby-dnn - ruby-dnn is a ruby deep learning library.

rb-libsvm - Ruby language bindings for LIBSVM