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pygrinder

PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with different missingness patterns, including MCAR (complete at random), MAR (at random), MNAR (not at random), sub sequence missing, and block missing

pycorruptor

PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with different missingness patterns, including MCAR (complete at random), MAR (at random), MNAR (not at random), sub sequence missing, and block missing

tsgap

Time-series missingness simulation separating mechanisms (MCAR/MAR/MNAR) from patterns (pointwise/block/monotone/decay/markov). Weighted multi-driver MAR, exact rate control, automatic calibration, 2D/3D support. Built for reproducible imputation benchmarking.