Topics / #fraud-detection

Fraud-detection projects on GitHub

Systems and models for identifying fraudulent transactions, accounts, or behavior

As of , the most-starred Fraud-detection projects on GitHub are fingerprintjs (28.6K stars), A-Curated-List-of-ML-System-Design-Case-Studies (11K stars) and pyod (10K stars). GitHub.Locker tracks 5 Fraud-detection repositories with 50.3K stars combined. The fastest-growing on October 18 was awesome-chinese-secondhand-slang, with +222 stars in a day.

5Projects
50.3KStars in total
+232Stars in a day
Browse in the catalog →github.com/topics/fraud-detection ↗

Hot right now

Most stars gained in a day · Oct 18

+222

awesome-chinese-secondhand-slang

Domainsun/awesome-chinese-secondhand-slang · ★ 147

This is a curated Chinese-language glossary of secondhand marketplace slang (黑话) used on platforms like Xianyu (Goofish), Zhuanzhuan and Xiaohongshu, covering 4,000+ real-world code words with both buyer scam-avoidance tips and seller compliance-safe alternative phrasing.

+6

fingerprintjs

fingerprintjs/fingerprintjs · ★ 28.6K

FingerprintJS is an open-source, client-side browser fingerprinting library: it queries browser attributes and computes a hashed visitor identifier from them.

+3

pyod

yzhao062/pyod · ★ 10K

PyOD is a Python library for anomaly detection that bundles over 60 detection algorithms into one consistent API, covering tabular, time series, graph, text, image, and audio data.

+1

A-Curated-List-of-ML-System-Design-Case-Studies

Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies · ★ 11K

A curated collection of 300+ real-world machine learning system design case studies from over 80 companies like Netflix, Airbnb, Stripe, and Doordash, organized by industry and ML use case.

The all-time top

5 projects · by stars

  1. #1 · fingerprintjs/fingerprintjs

    fingerprintjs

    FingerprintJS is an open-source, client-side browser fingerprinting library: it queries browser attributes and computes a hashed visitor identifier from them.

    28.6K
  2. #2 · Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies

    A-Curated-List-of-ML-System-Design-Case-Studies

    A curated collection of 300+ real-world machine learning system design case studies from over 80 companies like Netflix, Airbnb, Stripe, and Doordash, organized by industry and ML use case.

    11K
  3. #3 · yzhao062/pyod

    pyod

    PyOD is a Python library for anomaly detection that bundles over 60 detection algorithms into one consistent API, covering tabular, time series, graph, text, image, and audio data.

    10K
  1. 4

    elosys

    458YuriRDev/elosys · TypeScript

    Elosys builds a consolidated database of Brazilian political candidates (2014-2026) from official government sources, cross-referenced by CPF/CNPJ, to investigate relationships between politicians and surface indicia of suspicious patterns like circular donations, shell companies, and wealth incompatible with declared income.

  2. 5

    awesome-chinese-secondhand-slang

    147Domainsun/awesome-chinese-secondhand-slang

    This is a curated Chinese-language glossary of secondhand marketplace slang (黑话) used on platforms like Xianyu (Goofish), Zhuanzhuan and Xiaohongshu, covering 4,000+ real-world code words with both buyer scam-avoidance tips and seller compliance-safe alternative phrasing.

Often tagged together