The most advanced open-source browser fingerprinting library
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Updated
Nov 26, 2025 - TypeScript
The most advanced open-source browser fingerprinting library
An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.
Official React Native client for Fingerprint. 100% accurate device identification for fraud detection.
Fingerprint Pro Wrapper for React Single Page Applications (SPA)
Node.js wrapper for FingerprintJS Server API
A Raspberry Pi-enabled caller ID system which checks incoming landline calls against databases of known malicious callers, and displays a danger rating of the incomming caller on a web interface.
Fingerprint Pro Plugin for Vue
Boost your Android app security with Free Malware Detection—an easy-to-integrate SDK that scans for malicious or suspicious apps in the background. Leveraging package and permission blacklists plus installation source policies, it delivers actionable malware protection against evolving threats.
Node bindings for Castle
Boost your Android app security with Free Malware Detection—an easy-to-integrate SDK that scans for malicious or suspicious apps in the background. Leveraging package and permission blacklists plus installation source policies, it delivers actionable malware protection against evolving threats.
Boost your Android app security with Free Malware Detection—an easy-to-integrate SDK that scans for malicious or suspicious apps in the background. Leveraging package and permission blacklists plus installation source policies, it delivers actionable malware protection against evolving threats.
Save From Frauds is a comprehensive application designed to track and report fraudulent entities (e.g., phone numbers, emails, websites) and their associated impacts. Users can log detailed reports describing the nature of the fraud, its impact (financial, emotional, reputational, etc.), and preventive measures to avoid similar scams.
The Segment Source function allows you to use Fingerprint Pro visitor identification data as a data source in Segment. The function recieves the data through webhooks and normalizes them into Segment Specs.
Identify anomalies in the user behaviour and prevent suspicious activity, in real time.
The most accurate device intelligence platform to generate unique device identities and identifies anomalies
A web app to detect fraudulent transaction from live SSE, using a custom trained machine learning model.
A Flask-based fraud detection dashboard that analyzes e-commerce transactions in real-time using machine learning (Scikit-Learn), flags suspicious activity via WebSockets, visualizes trends with Chart.js, and stores data in SQLite - showcasing full-stack Python skills with a focus on AI/ML integration and real-time analytics
TradeSpace is an online platform that aims to provide a convenient and user-friendly way for individuals to sell their used products. The platform will serve as a marketplace where sellers can list their items and connect with potential buyers who are interested in purchasing pre-owned goods.
The official JS library of Greip
Official Node.js library of Greip API
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