polars

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1–100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.