Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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…
Binary installers for the latest released version are available at the Python Package Index (PyPI) and on conda-forge.
Description and README excerpt from pandas-dev/pandas on GitHub ↗.
pandas-dev/pandas was first seen on GitHub · Trending Python today on Nov 6, 2026. Since then it has appeared in 8 checks on 2 different days. Its best position was #9 of 20, reached on Nov 6, 11:49 UTC. It dropped off the list after Nov 7, 08:49 UTC.
Position on GitHub · Trending Python today at every check (lower is better).
Best rank per day (UTC).
Platform metric as reported by GitHub.
Archived daily, weekly and monthly lists that include this entry.
Not at the moment. It was last on the list on Nov 7, 08:49 UTC, after 2 days of trending.
#9 on GitHub · Trending Python today, on Nov 6, 11:49 UTC. Trendoday checks this list every 180 minutes.
It was first seen on Nov 6, 2026 and has been on the list on 2 days (8 checks) since.
Mostly Python; it is licensed under BSD-3-Clause. It has 50.4k stars and 20.7k forks.