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
Other Useful Business Software
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime
Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Polars!