polars · v1.0.0
Polars
★ Not rated yet Review score 84/100 ✓ Scanned English Exchange · 1 credit
What it does
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.
Requirements
- Works with Claude Code, Codex
- No scripts included
- 1 file, 11 KB
Lineage
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- v1.0.0 MAJOR Current
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