Statistical Aggregation With Single Pass Computation

via “statistical-aggregation-with-single-pass-computation”

Out-of-Core DataFrames to visualize and explore big tabular datasets

Unique: Implements single-pass aggregations using numerically stable algorithms (Welford's algorithm for mean/std) that work on virtual columns without materialization. This differs from Pandas (multiple passes for some aggregations) by optimizing for streaming computation.

vs others: More numerically stable than naive implementations and more efficient than Pandas for large datasets (single pass), though less feature-rich than specialized statistical libraries (SciPy, statsmodels).