Redacted excerpt; full evidence withheld. $ cd && ls -la && cat README.md | head -c 7000; python3 --version exit: 0 ility, inference) with the optional Anonymeter extra | | Utility | Change in mean and standard deviation, Kolmogorov–Smirnov, Wasserstein / IQR, total variation distance, correlation change, per-record shift in standard deviations | | Noise explorer | A self-contained interactive HTML page per column. For every technique and strength it shows before/after distributions, original against released per record with an exposure band, and a risk-utility map. It works offline and follows light and dark themes | | Synthesis | Distributions (normal, lognormal, gamma, exponential, Poisson, uniform, quantile curves) truncated to bounds. Spearman correlations imposed through a Gaussian copula. Conditional overrides that keep correlations. Formula columns using a safe expression language with date and random functions. Outlier planting, exact statistics, row constraints, unique keys, null shares (random, or following the data: MAR and MNAR) and templates. Related tables with foreign keys, class imbalance and difficulty levels for challenges. Learned Gaussian copula from a reference table | | Challenges | A sc [excerpt truncated]