Polars vs Pandas: Choose the faster Rust‑backed library when AI pipelines hit scale
Polars trades Pandas' massive ecosystem for Rust‑level performance, lazy evaluation, and columnar storage, delivering 5‑10× speedups on large, CPU‑bound workloads. Still, Pandas remains the go‑to for quick prototyping, rich tooling, and seamless integration with scikit‑learn or statsmodels. Pick Polars for production‑grade pipelines; stick with Pandas for exploratory work.