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

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License

MIT License

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Additional Project Details

Programming Language

Rust

Related Categories

Rust Libraries

Registered

2025-06-26