mars VS xgboost_ray

Compare mars vs xgboost_ray and see what are their differences.

mars

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

xgboost_ray

Distributed XGBoost on Ray (by ray-project)
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mars xgboost_ray
0 1
2,672 132
0.1% 3.0%
5.7 5.8
3 months ago 26 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.

mars

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.

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.

What are some alternatives?

When comparing mars and xgboost_ray 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

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.

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

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

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

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"

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

lambda-packs - Precompiled packages for AWS Lambda