pandas-dev/pandas
★ 50,238 stars
Covered in week 2026-W19 · the 2026-05 report
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
What pandas is
pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open-source data analysis/manipulation tool available in any language. It is already well on its way towards this goal.
From the repository README · read it on GitHub →
Transcript
Tableau Pro costs 840 yearly. This does it free. Pandas is Python's data analysis Swiss Army knife. Clean messy data sets, merge spreadsheets, and crunch millions of rows in seconds all from a Jupiter notebook. While companies blow thousands on BI dashboards, you get the same power with two lines of code. df.read_csv then dot dot read_csv dot group e i dot group e s over 44,000 GitHub stars and 100 million monthly downloads prove data pros trust it. That's every Fortune 500 running Pandas in production. Star it if this saved you money.
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