mars VS python-performance-playground

Compare mars vs python-performance-playground 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)
Python Numpy Tensor Pandas Machine Learning scikit-learn Tensorflow Pytorch Xgboost Lightgbm Ray Statsmodels joblib Dataframe Dask
Source Code
mars-project.readthedocs.io
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python-performance-playground

Performance analysis of Python snippets for scientific computing (by fandreuz)
Dask high-performance-computing numba Numpy Python Performance analysis
Source Code
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mars python-performance-playground
- 1
2,677 4
0.3% -
5.7 0.0
4 months ago over 1 year ago
Python Python
Apache License 2.0 MIT License
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.

python-performance-playground

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

What are some alternatives?

When comparing mars and python-performance-playground you can also consider the following projects:

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

numpy-groupies - Optimised tools for group-indexing operations: aggregated sum and more

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

xarray - N-D labeled arrays and datasets in Python

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

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

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

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"

xgboost_ray - Distributed XGBoost on Ray

lambda-packs - Precompiled packages for AWS Lambda

movie-recommender - Movie recommender system based on Non-Negative Matrix Factorization and Singular Value Decomposition, with a Flask web interface

mars vs modin python-performance-playground vs numpy-groupies mars vs eland mars vs xarray mars vs Python-Schema-Matching mars vs scikit-survival mars vs alpha-zero-boosted mars vs dmatrix2np mars vs Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale mars vs xgboost_ray mars vs lambda-packs mars vs movie-recommender