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.
AI-powered evaluation of trust, security posture, quality signals, and fit for your use case. Grounded in the skill's actual data.
Detected signals: missing license.
• No license declared. Usage rights are ambiguous — contact the skill author before using commercially.
Compare this skill side-by-side with an alternative to find the best fit.
Compare with another skill →