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.
Details
- Path
- plugins/antigravity-awesome-skills-claude/skills/polars
- License
- https://github.com/pola-rs/polars/blob/main/LICENSE
- Dependencies
- 4