polars — Polars is an extremely fast analytical query engine for DataFrames written in Rust, featuring multi-threaded execution and support for datasets larger than RAM.

Polars is an extremely fast analytical query engine for DataFrames written in Rust, featuring multi-threaded execution and support for datasets larger than RAM.

About this project

Polars is a high-performance analytical query engine for DataFrames designed for speed and expressiveness. Written in Rust, it utilizes multi-threaded, vectorized (SIMD) execution to optimize data processing. Key capabilities include: - Execution Modes: Supports both eager and lazy execution, with built-in query optimization. - Memory Management: A streaming engine allows the processing of datasets that exceed available RAM. - Interoperability: Uses the Apache Arrow Columnar Format for zero-copy data sharing. - Multi-language Support: Provides bindings for Python, Rust, Node.js, R, and SQL. - Extensibility: Allows native extensions via I/O and Expression plugins. - Hardware Acceleration: Optional support for accelerating queries on NVIDIA GPUs.