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.
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Skill Details
GitHub Stars
8.6k
GitHub Forks
1k
Created
Jan 2026
Last Updated
4个月前
tools
tools data analysis
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