Software Development
Polars versus pandas in 2025: the real-world practice
Polars runs 3 to 10 times faster than pandas on aggregations, joins, and filters over parquet datasets of 1 to 20 GB, and holds 40 to 60 percent less memory thanks to native Arrow columns. With the 1.x API frozen and Arrow interoperability, both libraries can coexist in one pipeline.