Replacing Pandas with Polars. A Practical Guide

1. normconf2022

   1 2 0 10.0 HTML

   

2. Judoscale

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3. Pandas

   2 424 45,111 9.9 Python

   Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

   

   > The big thing pandas has going for it is that it's already been through this field testing. All the bugs have been ironed out by the hundreds of thousands of users.

   At this very moment pandas github repo has 1563 open issues labeled with a bug tag [0]. So much for "all the bugs have been ironed out".

   [0] https://github.com/pandas-dev/pandas/issues?q=is%3Aopen+is%3...

4. fugue

   3 11 2,067 3.4 Python

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

   

   Fugue is an interesting library in this space , though I haven’t tried it

   https://github.com/fugue-project/fugue

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

5. polars

   4 149 33,031 10.0 Rust

   Dataframes powered by a multithreaded, vectorized query engine, written in Rust

   

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