Polars is a high-performance, multi-language DataFrame library built in Rust using Apache Arrow. It delivers blazing-fast, vectorized, and parallel data manipulation with both eager and lazy execution, making it an excellent tool for data processing in Python, Rust, Node.js, R, and SQL contexts.
Features
- Blazing-fast performance via Rust-based vectorized engine
- Supports eager and lazy query execution
- Multi-threaded with SIMD and cache-efficient algorithms
- Interfaces for Python, Rust, Node.js, R, and SQL
- Out-of-core streaming for datasets larger than memory
- Built-in query optimizer for complex transformations
Categories
LibrariesLicense
MIT LicenseFollow Polars
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