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.

Resque -  Job queue in Ruby 

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.
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It supports primary/backup nodes. Only one node becomes primary simultaneously and the others become backup nodes. A backup node will automatically be active when the primary node dies. It always works with a single dispatcher per queue which can concurrently dispatch jobs to workers via HTTP. Scalability of workers themselves should be maintained by a load balancer in the ordinary way. This means that adding a worker will never harm performance of grabbing jobs from a queue.

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.

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

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.

rq - Simple job queues for Python

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.

delayed_job - Database backed asynchronous priority queue

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). 

Sidekiq - Simple, efficient background processing for Ruby

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).

Celery - Distributed Task Queue

The fastest, most reliable, Redis-based queue for Node. Carefully written for rock solid stability and atomicity. 
<ul>
<li> Minimal CPU usage due to a polling-free design.</li>
<li> Robust design based on Redis.</li>
<li> Delayed jobs.</li>
<li> Schedule and repeat jobs according to a cron specification.</li>
<li> Rate limiter for jobs.</li>
<li> Retries.</li>
<li> Priority.</li>
<li> Concurrency.</li>
<li> Pause/resume—globally or locally.</li>
<li> Multiple job types per queue.</li>
<li> Threaded (sandboxed) processing functions.</li>
<li> Automatic recovery from process crashes.</li>
</ul>

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

Bull - Premium package for handling jobs and messages in NodeJS

Machinery is an asynchronous task queue/job queue based on distributed message passing.

Machinery - Asynchronous task queue/job queue based on distributed message passing

Agenda is a light-weight job scheduling library for Node.js. It aims to keep its code base small. It is  backed by Mongo backed persistence layer. It supports scheduling with configurable priority, concurrency, repeating and persistence of job results, Scheduling via cron or human readable syntax, Event backed job queue that you can hook into.

Agenda - Lightweight job scheduling for Node.js

Exq is a job processing library compatible with Resque / Sidekiq for the Elixir language.While you may reach for Sidekiq / Resque / Celery by default when writing apps in other languages, in Elixir there are some good options to consider that are already provided by the language and platform. So before adding Exq or any Redis backed queueing library to your application, make sure to get familiar with OTP and see if that is enough for your needs. Redis backed queueing libraries do add additional infrastructure complexity and also overhead due to serialization / marshalling, so make sure to evaluate whether or it is an actual need.

Exq - Job processing library for Elixir  - compatible with Resque / Sidekiq

Pyres is a Resque clone. Resque is a great implementation of a job queue by the people at github. 

Pyres - Job queue in Python

goworker is a Go-based background worker that runs 10 to 100,000* times faster than Ruby-based workers. goworker is compatible with Resque, so you can push your jobs with Rails and Resque, and consume them with Go in the background

goworker - Go-based background worker

Gearman provides a generic application framework to farm out work to other machines or processes that are better suited to do the work. It allows you to do work in parallel by doing load balancing. It also supports to call functions between languages. It is the nervous system for how distributed processing communicates. It is fault tolerant.<BR><BR>A Gearman powered application consists of three parts: a client, a worker, and a job server. The client is responsible for creating a job to be run and sending it to a job server. The job server will find a suitable worker that can run the job and forwards the job on. The worker performs the work requested by the client and sends a response to the client through the job server.

Gearman provides a generic application framework to farm out work to other machines or processes that are better suited to do the work. It allows you to do work in parallel by doing load balancing. It also supports to call functions between languages. It is the nervous system for how distributed processing communicates. It is fault tolerant.

Gearman - Application Framework to farm out work to other Machines

Jesque is an implementation of Resque in Java. It is fully-interoperable with the Ruby and Node.js (Coffee-Resque) implementations.

Jesque - Job queue in Java

A simple, fast, robust job/task queue for Node.js, backed by Redis.Bee-Queue is meant to power a distributed worker pool and was built with short, real-time jobs in mind. A web server can enqueue a job, wait for a worker process to complete it, and return its results within an HTTP request. Scaling is as simple as running more workers.

Bee Queue - A simple, fast, robust job/task queue for Node.js, backed by Redis

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Resque - Job queue in Ruby