Ubuntu
celery package

celery 5.3.4-1 source package in Ubuntu

Changelog

celery (5.3.4-1) unstable; urgency=medium

  * Use github.com in d/watch.
  * New upstream version 5.3.4
  * Refresh patches.
  * Add patch to remove dependency on tzdata.
  * Add pyproject.toml as a file to be copied before running tests.
  * Build more detailed manpages using click-man, including subcommands.
  * Build using pybuild-plugin-pyproject.
  * Add tzdata-legacy to Build-Depends, required by tests.

 -- Michael Fladischer <email address hidden>  Tue, 05 Sep 2023 20:02:19 +0000

Upload details

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

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Builds

Noble: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
celery_5.3.4-1.dsc 2.5 KiB 741ffe5024aae36fea648bb0b11022152ae4b36424e7f736bf49ea729b2800e4
celery_5.3.4.orig.tar.gz 1.5 MiB c112bcfc7f9efceef5aa1480fbbaaaa670baf0f22f03665f8fa09240dfd9f507
celery_5.3.4-1.debian.tar.xz 22.9 KiB 6b116899439d02317d43579ee80a2b5b5fcb3ede68664ac6532f0db08900d26f

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.