Polars

Polars is a blazingly fast, multi-threaded DataFrame library (written in Rust) for high-performance, single-machine data manipulation.

Polars delivers superior data processing speed: its core is written in Rust, utilizing a multi-threaded query engine for effective parallelism. The library employs the Apache Arrow Columnar Format, enabling vectorized operations and efficient memory use (handling datasets larger than RAM). Polars supports both eager and lazy execution, with the lazy mode optimizing queries to achieve significant performance gains—benchmarks show over 30x speedup compared to pandas on specific data wrangling tasks. This architecture ensures developers get a consistent, predictable API for scalable analytics.

https://pola.rs