Ubuntu
celery package

celery 5.2.1-1 source package in Ubuntu

Changelog

celery (5.2.1-1) unstable; urgency=low

  * New upstream release.
  * Refresh and renumber patches.
  * Add python3-click-plugins to Build-Depends, required by tests.
  * Bump Standards-Version to 4.6.0.1.
  * Use uscan version 4.
  * Add python3-flaky and python3-pytest-subtests to Build-Depends.
  * Fix missing and changed paths in doc-base registration.
  * Install testfiles using d/pybuild.testfiles.
  * Configure tests using pybuild environment variables instead of
    debhelper override.
  * Update year in d/copyright.
  * Depend on python3-all for autopkgtests.
  * Add d/upstream/metadata.
  * Skip broken tests in autopkgtest.

 -- Michael Fladischer <email address hidden>  Thu, 25 Nov 2021 10:48:23 +0000

Upload details

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

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Builds

Jammy: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
celery_5.2.1-1.dsc 2.5 KiB ae78c50246d76eecdb927ae202f28850ef5d387fe9c20434aa58664eefa3e335
celery_5.2.1.orig.tar.gz 1.4 MiB b41a590b49caf8e6498a57db628e580d5f8dc6febda0f42de5d783aed5b7f808
celery_5.2.1-1.debian.tar.xz 22.7 KiB 05bd34a858e08a02d68be4ce63a4df7b3cea231cfaced3d30bb102a8691d0f2c

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.