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  1. Stackups
  2. Utilities
  3. Background Jobs
  4. Message Queue
  5. MediatR vs Taskiq

MediatR vs Taskiq

OverviewComparisonAlternatives

Overview

MediatR
MediatR
Stacks134
Followers41
Votes0
Taskiq
Taskiq
Stacks1
Followers1
Votes0
GitHub Stars1.7K
Forks94

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Detailed Comparison

MediatR
MediatR
Taskiq
Taskiq

It is a low-ambition library trying to solve a simple problem — decoupling the in-process sending of messages from handling messages. Cross-platform, supporting .NET Framework 4.6.1 and netstandard2.0.

It is an asynchronous distributed task queue for python. This project takes inspiration from big projects such as Celery and Dramatiq. It can send and run both the sync and async functions.

Request/response messages, dispatched to a single handler; Notification messages, dispatched to multiple handlers
Strongly typed; Production ready; Task pipelines; Asyncio support
Statistics
GitHub Stars
-
GitHub Stars
1.7K
GitHub Forks
-
GitHub Forks
94
Stacks
134
Stacks
1
Followers
41
Followers
1
Votes
0
Votes
0
Integrations
.NET
.NET
Python
Python
asyncio
asyncio

What are some alternatives to MediatR, Taskiq?

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Celery

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

Amazon SQS

Amazon SQS

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

ActiveMQ

ActiveMQ

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Gearman

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

Memphis

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

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