GitHub - tnm/qr: Queues, stacks, deques, and priority queues with Redis in Python
QR queues store serialized Python objects (using cPickle by default), but that can be changed by setting the serializer on a per-queue basis. This means "Python object in, and Python object out." There are a few constraints on what can be pickled, and thus put into queues: None, True, and False Integers, long integers, floating point numbers, complex numbers Normal and Unicode strings Tuples, list
A Tale of Two Queues
I’ve been playing around with Publish/Subscribe queues (or pub-sub queues) for the last few months, which has led me through some research that has been very interesting for me personally. I’ve wanted to write about my experiences for a while now, but unfortunately this post continues to unwrite itself over time, as I refine my research and disprove any assumptions I’ve made along the way. Nonethe
RQ: Simple job queues for 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/Valkey and is designed to have a low barrier to entry. It integrates easily with your web or application stack. RQ requires Redis >= 5 or Valkey >= 7.2. Getting Started First, run a Redis/Valkey server. To put jobs on queues, you don’t have to do anything special,
Celery - Distributed Task Queue — Celery 3.0.11 documentation
Documentation has moved Celery is now using Read the Docs to host the documentation for the development version, where the pages are automatically updated as new changes are made (YAY!) The new location for this page is: http://docs.celeryproject.org/en/master/index.html. If you wanted documentation for the latest stable version instead, please go to: http://docs.celeryproject.org/en/latest/index.
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GitHub - coleifer/huey: a little task queue for python
huey — huey 3.0.0 documentation
http://kr.github.io/beanstalkd/
GitHub - empower/pykestrel: A python library for the kestrel queue system
