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Repositories in this selection 10 · UTC 2026-11-04
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1—Ffingerprintjs / fingerprintjsThe most advanced free and open-source browser fingerprinting libraryTypeScriptMIT · PermissiveInsufficient rank history28,6762,641——2026-10-31
2—Yyzhao062 / pyodA 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.PythonBSD-2-Clause · PermissiveInsufficient rank history10,0741,520——2026-10-28
3—Yyzhao062 / anomaly-detection-resourcesAnomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!PythonAGPL-3.0 · Share derivative sourceInsufficient rank history9,4381,800——2026-03-02
4—MMISP / MISPMISP (core software) - Open Source Threat Intelligence and Sharing PlatformPHPAGPL-3.0 · Share derivative sourceInsufficient rank history6,6381,659——2026-11-02
5—Ssafe-graph / graph-fraud-detection-papersA curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resourcesUnknownUnknown · Restricted / unknownInsufficient rank history1,900300——2026-09-13
6—Bbenedekrozemberczki / awesome-fraud-detection-papersA curated list of data mining papers about fraud detection.PythonCC0-1.0 · PermissiveInsufficient rank history1,841330——2026-01-05
7—Ttirrenotechnologies / tirrenotirreno is an open-source framework for in-house security. Event tracking, risk scoring and threat detection for your system.PHPAGPL-3.0 · Share derivative sourceInsufficient rank history1,562185——2026-10-24
8—GGitiHubi / deepAIDetection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.Jupyter NotebookGPL-3.0 · Share derivative sourceInsufficient rank history21188——2019-08-07
9—Mmilcent / benford_pyPython implementation of Benford's Law tests.Jupyter NotebookBSD-3-Clause · PermissiveInsufficient rank history15450——2022-10-11
10—Bbeava-dev / beavaReal-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.RustApache-2.0 · PermissiveInsufficient rank history13910——2026-05-30
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