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Description:

rq 1.16.2

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 >= 3.0.0.

Full documentation can be found here.
Support RQ
If you find RQ useful, please consider supporting this project via Tidelift.
Getting started
First, run a Redis server, of course:
$ redis-server

To put jobs on queues, you don't have to do anything special, just define
your typically lengthy or blocking function:
import requests

def count_words_at_url(url):
"""Just an example function that's called async."""
resp = requests.get(url)
return len(resp.text.split())

You do use the excellent requests package, don't you?
Then, create an RQ queue:
from redis import Redis
from rq import Queue

queue = Queue(connection=Redis())

And enqueue the function call:
from my_module import count_words_at_url
job = queue.enqueue(count_words_at_url, 'http://nvie.com')

Scheduling jobs are also similarly easy:
# Schedule job to run at 9:15, October 10th
job = queue.enqueue_at(datetime(2019, 10, 10, 9, 15), say_hello)

# Schedule job to run in 10 seconds
job = queue.enqueue_in(timedelta(seconds=10), say_hello)

Retrying failed jobs is also supported:
from rq import Retry

# Retry up to 3 times, failed job will be requeued immediately
queue.enqueue(say_hello, retry=Retry(max=3))

# Retry up to 3 times, with configurable intervals between retries
queue.enqueue(say_hello, retry=Retry(max=3, interval=[10, 30, 60]))

For a more complete example, refer to the docs. But this is the essence.
The worker
To start executing enqueued function calls in the background, start a worker
from your project's directory:
$ rq worker --with-scheduler
*** Listening for work on default
Got count_words_at_url('http://nvie.com') from default
Job result = 818
*** Listening for work on default

That's about it.
Installation
Simply use the following command to install the latest released version:
pip install rq

If you want the cutting edge version (that may well be broken), use this:
pip install git+https://github.com/rq/rq.git@master#egg=rq

Related Projects
Check out these below repos which might be useful in your rq based project.

rq-dashboard
rqmonitor
django-rq
Flask-RQ2
rq-scheduler

Project history
This project has been inspired by the good parts of Celery, Resque
and this snippet, and has been created as a lightweight alternative to the
heaviness of Celery or other AMQP-based queueing implementations.