Data as of Sep 9, 2026 · Based on 3,265,539 AI responses across 10,525 prompts · See how Parse measures this
Pandaspandas.pydata.orgPandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool built on top of the Python programming language. It provides installation, getting started guides, documentation, and an API reference to help users analyze and manipulate data. The project is supported by sponsors and NumFOCUS, with ongoing releases (latest 3.0.5 as of 2026) and an active ecosystem.
PydataPandasParse Score
#10 of 64 in Statistical Analysis & Data Tools
64% of how AI describes Pandas reads positive.
AI uses essential · standard · flexible when it describes Pandas.
One caveat recurs: requires programming skills.
reddit.com shapes more of what AI says about Pandas than any other source, at 21% of its citations.
medium.com · youtube.com · arrow.apache.org · codecademy.com
The market map
Statistical Analysis & Data Tools →Excerpts where Pandas appeared in the AI's answer
Pandas : The Python standard for manipulating tabular data in memory, letting you filter, group, and pivot using expressive chaining methods.
pandas — Python's classic choice. Very intuitive for interactive exploration, statistics, visualization, and ML.
