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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