Polars Has a Free DataFrame Library — Pandas Alternative That is 10-100x Faster
rust
dev.to
A data engineer processed a 5GB CSV with pandas. RAM usage: 15GB. Processing time: 8 minutes. The laptop fan sounded like a jet engine. Polars is a DataFrame library written in Rust. 10-100x faster than pandas, uses less memory, and has a cleaner API. What Polars Offers for Free 10-100x Faster - Written in Rust with SIMD and multi-threading Lazy Evaluation - Query optimizer plans the best execution strategy Streaming - Process larger-than-RAM datasets Rust/Python/Node.js - Avai