Displaying 1 to 20 from 298 results

delayed_job - Database backed asynchronous priority queue

  •    Ruby

Delayed_job (or DJ) encapsulates the common pattern of asynchronously executing longer tasks in the background. It is a direct extraction from Shopify where the job table is responsible for a multitude of core tasks.

Resque - Job queue in Ruby

  •    Ruby

Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later. Queues are picked off in order of their priority. A job from a lower priority queue will only be picked off if there are no jobs for a higher priority queue available.




Sidekiq - Simple, efficient background processing for Ruby

  •    Ruby

Simple, efficient background processing for Ruby. Sidekiq uses threads to handle many jobs at the same time in the same process. It does not require Rails but will integrate tightly with Rails 3/4 to make background processing dead simple. Sidekiq uses multithreading so it is much more memory efficient than Resque (which forks a new process for every job).


Fireworq - Lightweight, high-performance, language-independent job queue system

  •    Go

Fireworq is a lightweight, high-performance job queue system with the following abilities. It is available from ANY programming language which can talk HTTP. It works with a single binary without external dependencies. It is built on top of RDBMS (MySQL), so that jobs won't be lost even if the job queue process dies. You can apply an ordinary replication scheme to the underlying DB for the reliability of the DB itself.

Bull - Premium package for handling jobs and messages in NodeJS

  •    Javascript

The fastest, most reliable, Redis-based queue for Node. Carefully written for rock solid stability and atomicity.

rq - Simple job queues for Python

  •    Python

RQ (Redis Queue) is a simple Python library for queueing jobs and processing them in the background with workers. It is backed by Redis and it is designed to have a low barrier to entry. It should be integrated in your web stack easily.RQ requires Redis >= 2.7.0.

disque - Disque is a distributed message broker

  •    C

Disque is an ongoing experiment to build a distributed, in-memory, message broker. Its goal is to capture the essence of the "Redis as a jobs queue" use case, which is usually implemented using blocking list operations, and move it into an ad-hoc, self-contained, scalable, and fault tolerant design, with simple to understand properties and guarantees, but still resembling Redis in terms of simplicity, performance, and implementation as a C non-blocking networked server.Currently (2 Jan 2016) the project is in release candidate state. People are encouraged to start evaluating it and report bugs and experiences.

MassTransit - Distributed Application Framework for .NET

  •    CSharp

MassTransit is a lightweight message bus for creating distributed applications using the .NET framework. MassTransit provides an extensive set of features on top existing message transports, resulting in a developer friendly way to asynchronously connect services using message-based conversation patterns. Message-based communication is a reliable and scalable way to implement a service oriented architecture.

Celery - Distributed Task Queue

  •    Python

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. The execution units, called tasks, are executed concurrently on a single or more worker servers using multiprocessing, Eventlet, or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready).

RabbitMQ - Robust messaging for applications

  •    Erlang

RabbitMQ is a messaging broker - an intermediary for messaging. It gives your applications a common platform to send and receive messages, and your messages a safe place to live until received. It features include reliability, high availability, Clustering and Federation. RabbitMQ ships with an easy-to use management UI that allows you to monitor and control every aspect of your message broker. There are RabbitMQ clients for almost any language you can think of.