Lightning-fast DataFrame library in Rust
Polars is an extremely fast DataFrame library written in Rust that provides a powerful query engine for data manipulation in Python, Node.js, and R. Built on Apache Arrow columnar format, Polars delivers performance that outpaces Pandas by 10-100x on common operations through parallel execution and SIMD optimizations. It features lazy evaluation with automatic query optimization, streaming for out-of-core processing, and an expressive API for filtering, joining, and aggregating datasets.
