rabbitmq

The open source and enterprise-ready webhooks service 🦀

Surging is a micro-service engine that provides a lightweight, high-performance, modular RPC request pipeline. support Event-based Asynchronous Pattern and reactive programming.

Microservices on .NET platforms used ASP.NET Web API, Docker, RabbitMQ, MassTransit, Grpc, Yarp API Gateway, PostgreSQL, Redis, SQLite, SqlServer, Marten, Entity Framework Core, CQRS, MediatR, DDD, Vertical and Clean Architecture implementation with using latest features of .NET 8 and C# 12

An easy to use .NET API for RabbitMQ

Async/await first CQRS+ES and DDD framework for .NET

A framework for building messaging apps with .NET and C#.

Full-stack .Net 10 Clean Architecture (Microservices, Modular Monolith, Monolith), Blazor, Angular 22, React 19, Vue 3.5, BFF with YARP, NextJs 16, Domain-Driven Design, CQRS, SOLID, Asp.Net Core Identity Custom Storage, OpenID Connect, EF Core, OpenTelemetry, SignalR, Background Services, Health Checks, Rate Limiting, Clouds (Azure, AWS, GCP), ...

RabbitMQ .NET client for .NET Standard 2.0+ and .NET 4.6.2+

Message Queue, Job Queue, Broadcasting, WebSockets packages for PHP, Symfony, Laravel, Magento. DEVELOPMENT REPOSITORY - provided by Forma-Pro

RabbitMQ driver for Laravel Queue. Supports Laravel Horizon.

Bunny is a popular, easy to use, mature Ruby client for RabbitMQ

AI equity research agent with resilient workflows, evidence-grounded RAG, versioned reports, and automated quality evaluation.

基于 Java Web 项目的 SpringBoot 框架初始化模板，适配最新版本Spring AI，该模板整合了常用的框架（Mybatis-Plus、ShardingSphere、Redis、RabbitMQ、Elasticsearch、SaToken、OSS、Caffeine以及MongoDB等），广泛支持JDK11和JDK17，部分版本兼容JDK8，同时该模板适用于前后端分离项目启动开发，保证大家在此基础上能够快速开发自己的项目，同时也适合入门学习，本项目会由作者持续更新。

Takes your video and generates video title, description, hashtags, transcription, subtitles and more.

📤 Email Classification and Automatic Re-routing with the power of LLMs and Distributed Task Queues. 🏆 Winner at Barclays Hack-O-Hire 2024!

A Scheduler for Batched LLM Inference

A modular, multilingual, and multimodal Retrieval-Augmented Generation (RAG) system tailored for the financial analysis of Public Investment Fund (PIF) annual reports.