pandas runs away with it 4–0 on popularity and shipping momentum. Stats only — numbers straight from GitHub, no AI verdict.
Extremely fast Query Engine for DataFrames, written in Rust
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Each axis is scaled to the bigger of the two — the leader always reaches the edge. It shows who leads on each dimension, not by how much; hover an axis (or read the bars) for the real numbers.
Bars are scaled within each row — they compare the two repos on that metric, not across metrics. Size rows (lines of code, open issues, languages) are facts, not victories, so they are never scored. Shipping counts show “—” while GitHub warms its weekly stats cache.