Ubuntu
celery package

celery 5.2.6-5 source package in Ubuntu

Changelog

celery (5.2.6-5) unstable; urgency=medium

  * Team upload.

  [ Bas Couwenberg ]
  * Add upstream patch to fix FTBFS with python3.11.
    (closes: #1028148)

  [ Paul Wise ]
  * debian/copyright: replace Unicode linebreaks with regular linebreaks.
  * Declare compliance with Debian Policy 4.6.2, no changes needed.
  * Drop python3-nose from build-deps, already switched to pytest
    (Closes: #1018326)
  * Correct package names listed in celery wrapper script.
  * Update broken link to daemonization docs
  * Add more upstream metadata
  * Update the homepage

 -- Paul Wise <email address hidden>  Sun, 22 Jan 2023 10:48:50 +0800

Upload details

Uploaded by:
Debian Python Team
Uploaded to:
Sid
Original maintainer:
Debian Python Team
Architectures:
all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Lunar release universe python

Builds

Lunar: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
celery_5.2.6-5.dsc 2.8 KiB 217609ff2504c65b31309fbf21679af40d5692946681f8f5d41a30e99ad495c9
celery_5.2.6.orig.tar.gz 1.4 MiB d1398cadf30f576266b34370e28e880306ec55f7a4b6307549b0ae9c15663481
celery_5.2.6-5.debian.tar.xz 25.4 KiB 7e7362907b11675b3f180721260bb0cd4c46135b3e81cb6de0f7b47e5f1dbaf4

Available diffs

No changes file available.

Binary packages built by this source

celery: async task/job queue based on message passing (common files)

 Celery is an open source 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 one
 or more worker nodes. Tasks can execute asynchronously (in the
 background) or synchronously (wait until ready).
 .
 Celery is written in Python, but the protocol can be implemented
 in any language. It can also operate with other languages using
 webhooks.
 .
 The recommended message broker is RabbitMQ, but limited support for Redis,
 Beanstalk, MongoDB, CouchDB, and databases (using SQLAlchemy or the Django
 ORM) is also available. Celery is easy to integrate with Django, using the
 python-django-celery package.
 .
 This package contains the common files of the library.

python-celery-common: async task/job queue - transitional dummy package

 Celery is an open source asynchronous task queue/job queue based on
 distributed message passing. It is focused on real-time operation,
 but supports scheduling as well.
 .
 This is an empty transitional package to the "celery" package.
 Once installed it can be safely removed.

python-celery-doc: async task/job queue based on message passing (Documentation)

 Celery is an open source 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 one
 or more worker nodes. Tasks can execute asynchronously (in the
 background) or synchronously (wait until ready).
 .
 Celery is written in Python, but the protocol can be implemented
 in any language. It can also operate with other languages using
 webhooks.
 .
 The recommended message broker is RabbitMQ, but limited support for Redis,
 Beanstalk, MongoDB, CouchDB, and databases (using SQLAlchemy or the Django
 ORM) is also available. Celery is easy to integrate with Django, using the
 python-django-celery package.
 .
 This package contains the documentation.

python3-celery: async task/job queue based on message passing (Python3 version)

 Celery is an open source 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 one
 or more worker nodes. Tasks can execute asynchronously (in the
 background) or synchronously (wait until ready).
 .
 Celery is written in Python, but the protocol can be implemented
 in any language. It can also operate with other languages using
 webhooks.
 .
 The recommended message broker is RabbitMQ, but limited support for Redis,
 Beanstalk, MongoDB, CouchDB, and databases (using SQLAlchemy or the Django
 ORM) is also available. Celery is easy to integrate with Django, using the
 python-django-celery package.
 .
 This package contains the Python 3 version of the library.