Fraud Detection Python Packages

pyod

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

fingerprint-pro-server-api-sdk

Python SDK for Fingerprint Server API

castle

Python library for Castle

autocarver

Automatic optimal discretization pipeline

fingerprint-server-sdk

Python SDK for Fingerprint Server API

benford-py

Python implementation of Benford's Law tests.

threatingestor

Extract and aggregate threat intelligence.

pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

appmod-catalog-blueprints

Library of composable well-architected CDK solution blueprints for real-world use cases — AI agents, document processing, serverless applications and more. Deploy or customize on AWS in minutes.

benfordslaw

benfordslaw is about the frequency distribution of leading digits.

pragmatiq

Independent banking event-sequence modeling toolkit inspired by arXiv:2604.08649; not affiliated with or endorsed by Revolut.

lawkit-python

Python wrapper for the lawkit CLI: statistical law analysis (Benford, Pareto, Zipf) for fraud detection and data quality

beava

Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.

pysad

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

bigdatacloudapi-client

A Pythonclient for BigDataCloud API connectivity

dataspot

Find data concentration patterns and dataspots. Built for fraud detection and risk analysis.

segmentae

SegmentAE: A Python Library for Anomaly Detection Optimization

ip-api-io

Official Python client for ip-api.io — IP geolocation, email validation, fraud detection and risk scoring API

ugfraud

An Unsupervised Graph-based Toolbox for Fraud Detection

pkboost

PKBoost: Adaptive GBDT for Concept Drift, Built from scratch in Rust, PKBoost manages changing data distributions in fraud detection with a fraud rate of 0.2%. It shows less than 2% degradation under drift. In comparison, XGBoost experiences a 31.8% drop and LightGBM a 42.5% drop

finomaly

Finomaly is an open-source Python library designed to detect unusual transactions and anomalies in financial data. It supports both rule-based and machine learning-based methods.

checkpost

Detects and blocks spam and fraud in Django apps without CAPTCHAs, ensuring seamless user experience.

mnemopay-hermes

Trust & reputation layer for AI agents. Agent Credit Score (300-850) + Merkle-anchored ledger + behavioral finance + EWMA anomaly detection. Memory + payments + identity + fraud in one SDK. npm i @mnemopay/sdk

jobverify-mcp

Detect fake recruiter & job-offer scams with free OSINT — an MCP server for Claude. No API keys.