Benchmarks
Placeholder numbers to illustrate the reporting format. Real measurements will land with v1.0.
placeholderAll values below are illustrative. Do not use for comparison.
Execution time
placeholderassess() on 1M rows × 20 cols
EazyDataFix-- ms
pandas (manual)-- ms
Memory usage
placeholderPeak RSS during fix()
EazyDataFix-- MB
pandas (manual)-- MB
Dataset size
placeholderTime scaling across 100k → 10M rows
100k rows-- %
1M rows-- %
10M rows-- %
vs Pandas
placeholderWall-clock speedup on the standard suite
assess()-- %
fix()-- %
profile()-- %
vs Polars
placeholderSame suite, Polars backend
assess()-- %
fix()-- %
profile()-- %