xgboost_ray VS mars

Compare xgboost_ray vs mars and see what are their differences.


Distributed XGBoost on Ray (by ray-project)


Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions. (by mars-project)
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xgboost_ray mars
1 0
118 2,643
5.1% 0.3%
6.0 7.5
11 days ago 7 days ago
Python Python
Apache License 2.0 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 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.


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

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

What are some alternatives?

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

modin - Modin: Scale your Pandas workflows by changing a single line of code

eland - Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

xarray - N-D labeled arrays and datasets in Python

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

Python-Schema-Matching - A python tool using XGboost and sentence-transformers to perform schema matching task on tables.

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.

dmatrix2np - Convert XGBoost's DMatrix format to np.array

scikit-survival - Survival analysis built on top of scikit-learn

alpha-zero-boosted - A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)

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

Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale - This is the official implementation of the AAAI 2021 accepted paper "Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale"

python-performance-playground - Performance analysis of Python snippets for scientific computing