django-celery VS kombu

Compare django-celery vs kombu and see what are their differences.

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django-celery kombu
3 2
1,514 2,741
0.0% 1.0%
0.0 8.9
over 1 year ago 7 days ago
Python Python
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

django-celery

Posts with mentions or reviews of django-celery. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-15.
  • 3% of 666 Python codebases we checked had a silently failing unit test
    20 projects | /r/Python | 15 Feb 2022
    https://github.com/ansible-community/ara/pull/358 https://github.com/b12io/orchestra/pull/830 https://github.com/batiste/django-page-cms/pull/210 https://github.com/carpentries/amy/pull/2130 https://github.com/celery/django-celery/pull/612 https://github.com/django-cms/django-cms/pull/7241 https://github.com/django-oscar/django-oscar/pull/3867 https://github.com/esrg-knights/Squire/pull/253https://github.com/Frojd/django-react-templatetags/pull/64 https://github.com/groveco/django-sql-explorer/pull/474 https://github.com/jazzband/django-silk/pull/550 https://github.com/keras-team/keras/pull/16073 https://github.com/ministryofjustice/cla_backend/pull/773 https://github.com/nitely/Spirit/pull/306 https://github.com/python/pythondotorg/pull/1987 https://github.com/rapidpro/rapidpro/pull/1610 https://github.com/ray-project/ray/pull/22396 https://github.com/saltstack/salt/pull/61647 https://github.com/Swiss-Polar-Institute/project-application/pull/483 https://github.com/UEWBot/dipvis/pull/216
  • Database character sets and collations explained – why utf8 is not UTF-8
    3 projects | news.ycombinator.com | 5 Jan 2022
    > they would now need to store max 4N bytes, which (with a high N) can exceed internal limits such as maximum length of an index key.

    Specifically, indexes are limited to 767 bytes (some say 768?), which means 191 utf8mb4 characters. So your otherwise-innocuous VARCHAR(255) primary key breaks. I’ve seen this multiple times, e.g. django-celery probably still has this: https://github.com/celery/django-celery/issues/259.

  • Django API Text Processing?!?
    1 project | /r/django | 16 Feb 2021
    For small projects you'll be fine just doing it in the view. For bigger projects you would want to use a task scheduler like Celery and with django-celery to distribute the workload in the background.

kombu

Posts with mentions or reviews of kombu. We have used some of these posts to build our list of alternatives and similar projects.
  • Variables pool system
    1 project | /r/learnpython | 4 May 2022
    It is feasible and there are a number of ways to do it. There are a few issues, though, mainly how to make sure that you are accessing the latest data and not getting part of the data mid write. A database handles these issues pretty well, since generally they are meant to be an intermediary between different processes. Another solution, that is often more flexible, is a message queue, like this one: https://github.com/celery/kombu
  • Messaging and Madness: Sending Messages with AMQP and Amazon MQ
    1 project | dev.to | 30 Oct 2021
    Above I use the library Kombu to create some connections and send some stuff. I started by setting up our environment variables. Then created exchange and queue objects. Finally, I made our connection object and the producer object, and then we sent a simple “Hello” message.

What are some alternatives?

When comparing django-celery and kombu you can also consider the following projects:

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

celery - Distributed Task Queue (development branch)

celery-progress - Drop in, configurable, dependency-free progress bars for your Django/Celery applications.

pika - Pure Python RabbitMQ/AMQP 0-9-1 client library

jasmin - Jasmin - Open source SMS gateway

rq - Simple job queues for Python

django-silk - Silky smooth profiling for Django

huey - a little task queue for python

flower - Real-time monitor and web admin for Celery distributed task queue

gevent - Coroutine-based concurrency library for Python

django-cms - The easy-to-use and developer-friendly enterprise CMS powered by Django

rele - Easy to use Google Pub/Sub