Pandas
Powerful data structures and data analysis tools for Python.
77
Hero Score
Popularity
88
Performance
30
Ecosystem
100
Maturity
100
Dev Experience
68
⭐ 50,033 stars⬇ 144.0M downloads/wkFirst release: Jan 2008Last release: Sep 2026
Async Support: NoPlugin Extensions: Very highSpeed: MediumDoc Quality: Very highLearning Curve: Easy
Pros
- • Huge ecosystem & integrations
- • Rich I/O + time-series tools
- • Stable, well-documented API
Cons
- • Slower and memory-heavy on big data (mostly single-threaded)
- • Chained indexing/implicit copies can bite
- • True parallel/lazy/out-of-core needs extras (Dask/Modin/Spark)