Ferramenta para auxiliar nos testes de validação da mensageria ISO8583

Monitor your income, and expenses with little effort. Visualize your transactions with beautiful charts!

Secure C++ banking system with encrypted authentication, multi-currency support, and robust transaction processing

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.

Compute security fields for IFSF H2H financial transaction messages

Personal Butler Making My Life Easier

Swift package for iOS/macOS/Linux that helps to create and parse ISO8583 financial transaction messages

A C++17 electronic wallet simulation featuring dual console applications for card management and remote transactions. Supports P2P transfers, persistent CSV storage, and transaction logging.

Alura Challenge Back-End. Web application to analyse and investigate financial transactions. The goal is to learn web development in practice, with a complete web application that supports file upload, access control and data analysis. This project is split in Docker containers, to facilitate deployment. Users are able to upload spreadsheets with financial transactions data to be analysed.

SQL-based fraud analysis of a 6M+ financial transaction dataset using PostgreSQL. The project follows audit-style workflows, preserves raw data integrity, applies performance indexing, and identifies systemic fraud patterns, balance inconsistencies, and high-risk transaction channels.

A robust and flexible starting point for financial transactions management in PostgreSQL.

This repository contains the University of Wah's Fee API, designed to facilitate secure and efficient financial transactions, including user authentication, bill inquiry, and bill payment. Built with ASP.NET Core 8, this API uses JWT for authentication, ensuring secure interactions.

End-to-end financial transaction analysis project using SQL and Excel. Includes data extraction, KPI calculations, and a single-page finance dashboard highlighting revenue, operational efficiency, fraud risk, and customer concentration.

Real-time financial transaction fraud detection web app using machine learning to predict fraud probability based on user and transaction data.

Real-time fraud detection system for financial transactions using Change Data Capture (CDC), Apache Kafka, Debezium, MySQL, and Spring Boot. Monitors user activity across locations to identify suspicious patterns and block fraudulent accounts.

A React.js and Next.js web app that displays a financial transaction history. Data is loaded dynamically from a JSON file and grouped by date in a styled table. Conditional formatting highlights income and expenses for better readability.

Quantum-Based Fraud Detection (QBFD) is a quantum algorithm designed to detect fraudulent activities in financial transactions using quantum computing principles.

**Payment Processing App** A Python app with a GUI using `ttkbootstrap`, featuring abstract classes and methods for managing transactions with PSPs like Sadad, Sepa, and Asan Pardakht.

Asure Whitepaper

QuickTopUpAPI is a PHP demo for connecting to transaction APIs, focusing on mobile top-up purchases and status checks. It's designed for easy integration and future scalability, offering a practical example for developers.

📊 Detect anomalies in financial transactions with Finomaly, a modular, open-source Python library supporting both rule-based and machine learning methods.