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

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

dramatiq is a distributed task processing library for Python with a focus on simplicity, reliability and performance.

Dramatiq - Simple distributed task processing for Python 3.

SHARQ is a flexible, open source, rate limited queuing system. Based on the Leaky Bucket Algorithm, SHARQ lets you create queues dynamically and update their rate limits in real time.
SHARQ consists of two components - the core component and the server component. The SHARQ core is built on Redis, using Python and Lua, and the SHARQ Server is built using Flask and Gevent and talks HTTP.

Sharq Server - A flexible rate limited queueing system

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rq - Simple job queues for Python

Celery - Distributed Task Queue

Dramatiq - Simple distributed task processing for Python 3.

Sharq Server - A flexible rate limited queueing system

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rq - Simple job queues for Python

Celery - Distributed Task Queue

Dramatiq - Simple distributed task processing for Python 3.

Sharq Server - A flexible rate limited queueing system

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