Modin is a drop-in replacement for pandas. While pandas is single-threaded, Modin lets you instantly speed up your workflows by scaling pandas so it uses all of your cores.
It uses Ray, Dask or Unidist to provide an effortless way to speed up your pandas notebooks, scripts, and libraries. Unlike other distributed DataFrame libraries, Modin provides seamless integration and compatibility with existing pandas code. Even using the DataFrame constructor is identical.
Modin works especially well on larger datasets, where pandas becomes slow or runs out of memory.
Modin uses a partitioning scheme that partitions a dataframe along both axes, resulting in a matrix of partitions. The row and column chunk sizes are computed independently based on the length of the appropriate axis and Modin’s special configuration variables.
This is free and open source software.
Website: github.com/modin-project/modin
Support:
Developer: Modin Developers
License: Apache License 2.0
Modin is written in Python. Learn Python with our recommended free books and free tutorials.
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Read our verdict in the software roundup.
 Explore our comprehensive directory of recommended free and open source software. Our carefully curated collection spans every major software category.This directory is part of our ongoing series of informative articles for Linux enthusiasts. It features hundreds of detailed reviews, along with open source alternatives to proprietary solutions from major corporations such as Google, Microsoft, Apple, Adobe, IBM, Cisco, Oracle, and Autodesk. You’ll also find interesting projects to try, hardware coverage, free programming books and tutorials, and much more. Discovered a useful open source Linux program that we haven’t covered yet? Let us know by completing this form. |
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