transaction-monitoring

Open source AML and Fraud Detection using Machine Learning for Real-Time Transaction Monitoring

Practical handbook on KYC, KYB, AML screening, transaction monitoring (KYT), and biometric verification for fintech and regulated businesses.

A curated list of tools, datasets and resources for financial crime compliance, AML, fraud, sanctions, KYC and surveillance.

Open-source AML transaction monitoring: a NestJS service and a framework-agnostic rules engine on npm (@sentinel-aml). Idempotent ingestion, case management, audit log, runtime rule tuning.

Welcome to an open-source transaction monitoring engine! This product is designed to simplify the definition and management of business rules while also offering a scalable infrastructure for rule execution and backtesting.

Blnk Watch is a domain-specific language (DSL) for creating real-time transaction monitoring rules. It enables you to define conditions and automated actions for detecting fraud, enforcing limits, and staying compliant. A Watch script is declarative: you describe what to detect and what action to take—the engine handles evaluation at runtime.

⚡ Real-time fraud & anomaly detection system for streaming transactions. Built with Kafka Streams + Isolation Forest ML. Low-latency processing, online learning, and scalable architecture for detecting fraud patterns in transaction data. 🚨🔍

Name Matching ML model for entity resolution and transaction monitoring

Dynamic analysis for executed Sui Move transactions: invariants over the execution trace, deterministic triage, a budgeted scout, and an MCP server

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.

End-to-end KYC/AML compliance data analysis using mock datasets. Includes customer risk scoring, suspicious transaction flagging, and compliance reporting in Python (Pandas, Matplotlib).

Transaction monitoring that deploys in 60 seconds. CEL rules, FATF typologies, single Go binary.

Real-Time Fraud Detection system. Built on Ahnlich DB.

Top AML Transaction Monitoring (Opensource) 🌟 Star if you like it! 🌟

Reproducible synthetic financial crime data generator for transaction monitoring - customers, accounts, transactions and alerts, ready for analytics and model testing.

USDT TRC-20 payment processor with wallet pool management. Extracted from production gambling platform. FastAPI + PostgreSQL + TronGrid API integration.

Open AML agent framework for local, human-supervised AML/KYC/KYB workflows

Enterprise-grade fraud & AML detection with ML and deep learning (XGBoost, LightGBM, Autoencoder, LSTM, Transformer). Real-time API, explainability (SHAP), BI export, Streamlit dashboard. PaySim-compatible.

AML triage prototype - This is a small Python prototype demonstrating how transaction monitoring alerts can be risk-scored and summarised for investigator review.

🔍 AML Checker — Free Crypto Wallet Risk Scanner for Windows (2026)