mars VS xarray

Compare mars vs xarray 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)

xarray

N-D labeled arrays and datasets in Python (by pydata)
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mars xarray
- 7
2,675 3,404
0.2% 1.5%
5.7 9.7
4 months ago 3 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.

xarray

Posts with mentions or reviews of xarray. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-02.

What are some alternatives?

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

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

iris - A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data

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

tensorflow - An Open Source Machine Learning Framework for Everyone

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

dask-awkward - Native Dask collection for awkward arrays, and the library to use it.

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

Dask - Parallel computing with task scheduling

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

fugue - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

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

wxee - A Python interface between Earth Engine and xarray for processing time series data