Browser fingerprinting library. Accuracy of this version is 40-60%, accuracy of the commercial Fingerprint Identification is 99.5%. V4 of this library is BSL licensed.

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.

Fingerprint Pro Wrapper for React Single Page Applications (SPA)

Node bindings for Castle

Official React Native client for Fingerprint PRO. 100% accurate device identification for fraud detection.

Node.js wrapper for FingerprintJS Server API

Fingerprint Pro Plugin for Vue

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.

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.

Prism web

this project show to use the library benford-analysis

Official Node.js library of Greip API

Modern & flexible browser fingerprinting library

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