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celery package

celery 3.1.18-1ubuntu1 source package in Ubuntu

Changelog

celery (3.1.18-1ubuntu1) wily; urgency=medium

  * debian/patches/ix-test-failures.patch: Fix test suite failures.

 -- Chuck Short <email address hidden>  Thu, 30 Jul 2015 10:46:56 -0400

Upload details

Uploaded by:
Chuck Short
Uploaded to:
Wily
Original maintainer:
Ubuntu Developers
Architectures:
all
Section:
python
Urgency:
Medium Urgency

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Builds

Wily: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
celery_3.1.18.orig.tar.gz 1.2 MiB 0924f94070c6fc57d408b169848c5b38832668fffe060e48b4803fb23e0e3eaf
celery_3.1.18-1ubuntu1.debian.tar.xz 17.8 KiB 3cf90c0b768fe3f639f4ca4d6fcb141304911549b50c3e6891f7aebdd4fe5767
celery_3.1.18-1ubuntu1.dsc 2.4 KiB 6895bfcc1ede5895591ce37aabddc496a2161d4edcbb44b2e679f913d06113c9

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Binary packages built by this source

celeryd: async task/job queue based on message passing (daemons)

 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 init scripts to start the celery daemons.

python-celery: async task/job queue based on message passing (Python2 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 2 version of the library.

python-celery-common: No summary available for python-celery-common in ubuntu wily.

No description available for python-celery-common in ubuntu wily.

python-celery-doc: No summary available for python-celery-doc in ubuntu wily.

No description available for python-celery-doc in ubuntu wily.

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.