xgboost_ray VS MLBox

Compare xgboost_ray vs MLBox and see what are their differences.

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xgboost_ray MLBox
1 1
118 1,441
5.1% -
6.0 0.0
11 days ago about 2 months ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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.

xgboost_ray

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

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

MLBox

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

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

What are some alternatives?

When comparing xgboost_ray and MLBox you can also consider the following projects:

lazypredict - Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

AlphaPy - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

swifter - A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

gmr - Gaussian Mixture Regression

draf - Demand Response Analysis Framework (DRAF)