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 

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

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

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