financial-crime
The ultimate Python package for Benford's Law analysis in forensic accounting and fraud detection
Open-source Python toolkit for AML detection and financial crime analytics — transaction graph analysis, anomaly scoring, SAR pattern matching, and SQL helpers for BSA/FinCEN compliance.
Reproducible benchmark for sanctions name-screening effectiveness. Measures recall across 18 documented classes of name variation — transliteration, Unicode homoglyph evasion, OCR degradation — with synthetic negative controls
