high-speed opensource event processing engine
A Go library for event-driven architectures, enabling efficient message handling, subscription management, and extensible storage backends like PostgreSQL. Perfect for building scalable, real-time, and microservice-based applications.
🚀 PyWacli is a real-time WhatsApp ingestion and monitoring system built with Python, Baileys, WebSockets, SQLite, Rich CLI, and S3 storage. It captures messages, edits, reactions, statuses, images, videos, and documents with live terminal dashboards, media syncing, and conversation tracking for analytics and automation.
Laravel 10 API that receives messages from WhatsApp Business, stores them in a local database, and allows a background process to read, process, and respond. Built for AI-based or rule-based message automation workflows.
This is the first AP2 (Agent Payments Protocol) Simulated Message Processing System that is able to process and settle AP2 payments
SET09102 – Coursework Napier Bank Message Filtering Service You are required to develop a service, namely Napier Bank Messaging (NBM), which will validate, sanitize and categorise incoming messages to Napier Bank in the form of SMS text messages, emails and Tweets.
keyinfostruct extracts and structures key info from personal texts, highlighting main points, emotions, and suggested actions for better organization.
Divine message processing in the cloud for Java 8+
Redis-based message caching and synchronization architecture with PostgreSQL fallback
⚡ High-performance queue system built with Bun runtime, Drizzle ORM, and PostgreSQL - handles cinema schedules, lottery data, LINE bot integration with automated conflict resolution and duplicate management
A custom Kafka consumer built in Go with built-in concurrency, graceful shutdown, rebalance handling, and crash recovery — uses franz-go under the hood.
Servicio TypeScript/Node.js que procesa mensajes de AWS SQS, los persiste en DynamoDB y notifica eventos vía AWS SNS.
A React + TypeScript web app for filtering important messages from chat exports using pattern matching and customizable scoring rules.
Local Azure Function pipeline demo using Azurite queues to process purchase messages.
Add a description, image, and links to the message-processing topic page so that developers can more easily learn about it.
To associate your repository with the message-processing topic, visit your repo's landing page and select "manage topics."