{"data":{"full_name":"WenjieDu/PyGrinder","name":"PyGrinder","description":"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","stars":65.0,"forks":6.0,"language":"Python","license":"BSD-3-Clause","archived":0.0,"subcategory":"missing-data-imputation","last_pushed_at":"2025-12-16T00:10:45+00:00","pypi_package":"pygrinder","npm_package":null,"downloads_monthly":108738.0,"dependency_count":5.0,"commits_30d":null,"reverse_dep_count":1.0,"maintenance_score":6.0,"adoption_score":19.0,"maturity_score":25.0,"community_score":11.0,"quality_score":61.0,"quality_tier":"established","risk_flags":"[]"},"meta":{"timestamp":"2026-04-08T10:48:42.001817+00:00"}}