pandas-dev/pandas
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 it does
Pandas is a widely-used Python toolkit that lets analysts and data scientists organize, clean, and analyze large sets of data in a structured, spreadsheet-like format — but far more powerful than Excel. It's essentially the go-to workbench for anyone who needs to make sense of raw data before turning it into insights, reports, or machine learning models.
Why it matters for PMs
With nearly 48,000 stars and over 19,000 forks on GitHub, pandas is one of the most foundational tools in the data ecosystem, meaning almost any product team building data-driven features or analytics capabilities is likely depending on it somewhere in their stack. Understanding its adoption signals just how central Python-based data analysis has become — and why investing in data infrastructure and talent fluent in these tools is a strategic priority for any product competing on insights.
Early stage — limited signal data
Score updated Feb 18, 2026
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