30 open-source projects similar to rabbitmq/rabbitmq-dotnet-client, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Rabbitmq Dotnet Client alternative.
An easy to use .NET API for RabbitMQ
A 100% native C# implementation of ZeroMQ for .NET
:bus: Simple and lean service bus implementation for .NET
The gold standard for async .NET microservices on Azure, AWS and on-prem
Floci is a local emulator for AWS services and cloud infrastructure designed for developing and testing applications without a live internet connection. It serves as a containerized cloud emulator and a serverless runtime emulator, allowing users to run high-fidelity replicas of cloud databases, queues, and compute services on a local machine. The project distinguishes itself by using real container images instead of simple mocks to ensure behavioral accuracy. It functions as a local API gateway simulator with proxy-based routing for REST and WebSocket APIs, and provides a serverless environm
This project is an open-source identity provider and single sign-on platform that centralizes user authentication for multiple web applications and services. It functions as a multi-protocol authentication gateway, verifying user identities and issuing tokens through the CAS protocol as well as industry standards including SAML, OAuth2, and OpenID Connect. The system acts as a federated identity server, allowing authentication to be delegated to external third-party or corporate identity providers. It distinguishes itself through identity attribute governance, which manages which specific use
Kafka is a distributed event streaming platform designed for capturing, storing, and processing real-time data streams across interconnected nodes. It functions as a distributed commit log, providing a fault-tolerant storage mechanism that records state changes sequentially to ensure data consistency and durability across distributed environments. The platform distinguishes itself through a partitioned commit log architecture that enables horizontal scaling and parallel processing of data streams. It integrates a stream processing engine for continuous transformations and aggregations, while
Silverback is a message bus and broker integration library for .NET. It is designed to simplify event-driven architectures and asynchronous messaging, with first-class support for Apache Kafka and MQTT.
MQTTnet is a .NET library providing a framework for implementing MQTT clients and brokers. It includes a broker implementation for hosting a central message hub that routes messages between connected clients and a client library for publishing and subscribing to messages. The project supports both TCP and WebSocket transport layers, enabling secure data traffic through transport layer security. It allows for the development of custom middleware to intercept, transform, or validate messages as they pass through a server. Capability areas include distributed message routing, persistent connect
A message queue framework, with support for middleware and multiple adapters.
Confluent's Apache Kafka .NET client
Apache Pulsar is a cloud-native message queue and distributed publish-subscribe messaging system. It serves as a multi-tenant event streaming platform designed to route data streams for asynchronous communication between producers and consumers. The system distinguishes itself through geo-replication, synchronizing data across multiple geographic regions to ensure high availability and low latency. It implements a multi-tenant architecture that provides isolation and resource management for millions of independent topics. The platform covers high-throughput data streaming and event-driven da
A set of C# libraries for streamlined microservice development: audit, caching, outbox, CAP, MassTransit (events & config), idempotency, specifications, security, and other useful utilities. Packages: https://www.nuget.org/profiles/dex
Concurrent and multi-stage data ingestion and data processing with Elixir
CAP is a .NET distributed transaction framework and event bus designed to manage asynchronous communication in microservices. It implements the outbox pattern to ensure eventual consistency and reliable message delivery by persisting messages in local database tables until transactions commit. The framework includes a distributed message monitor and web dashboard for tracking the status of sent and received messages. It provides tools for event traffic visualization, distributed request tracing, and the ability to manually trigger retries for failed delivery attempts. The system supports var
KurrentDB is an event-native database designed for event sourcing and event-driven architectures. It stores application state as an immutable, ordered sequence of events rather than updating rows in place, preserving full history for audit, replay, and distributed consistency. The database combines event storage with real-time streaming and a built-in JavaScript projection engine that transforms and aggregates event streams into materialized views. The system provides official gRPC client libraries for Python, Node.js, Java, .NET, Go, and Rust, enabling multi-language application development
Pluggable foundation blocks for building distributed apps.
Distributed storage for sequential data
Crossbar.io - WAMP application router
Pluggable foundation blocks for building distributed apps.
Elixir queue! A simple, in-memory queue with worker pooling and rate limiting in Elixir.
Hangfire is a background job scheduler and distributed task queue for .NET applications. It serves as a job orchestration framework that offloads heavy processing to background workers using a SQL-backed processor to manage job state across multiple servers. The framework distinguishes itself through reliable task scheduling, where job metadata and arguments are persisted in an external database to ensure tasks survive application restarts. It supports advanced orchestration patterns, including the ability to chain dependent tasks so that a child job triggers automatically upon the successful
Create a data stream across your information systems to query, augment and transform data according to Elixir matching rules.