Which One of These 2 Open-Source Libraries Is Better for Processing Gigabytes of Data?

Pandas, Polars — A complete benchmark analysis for making the right choice.

Introduction

If you still believe that Pandas is the top choice for working with large datasets, then the result of this experiment will be shocking!

Don’t get me wrong, Pandas shows up in multiple scenarios due to its ease of use and flexibility. Despite all these benefits, it does not seem to be the right choice for dealing with Gigabytes of data sets.

This article will perform a comparative analysis including another great candidate: Polars . At the end of the process, you will have a clear understanding of which tool to use next time when working with large datasets.

Let’s find out about each one

Before diving into the comparative analysis between these tools, let’s first understand what they are.

Pandas

Pandas is one of the most used libraries by Data Scientists and Analysts for their day-to-day data analytics tasks. It provides many utilities for different data…