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Source: django-celery
Maintainer: Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
Uploaders: Michael Fladischer <fladi@debian.org>,
Brian May <bam@debian.org>
Section: python
Priority: optional
Build-Depends: debhelper (>= 9),
dh-python,
docbook-to-man,
python-all (>= 2.7),
python-anyjson,
python-celery (>= 3.1.1),
python-django,
python-django-nose,
python-mock,
python-setuptools,
python-sphinx (>= 1.0.7+dfsg),
python-sphinxcontrib.issuetracker,
python-tz,
python-unittest2,
python3-all,
python3-anyjson,
python3-celery,
python3-django,
python3-django-nose,
python3-mock,
python3-setuptools,
python3-tz
Standards-Version: 3.9.8
Vcs-Browser: https://anonscm.debian.org/cgit/python-modules/packages/django-celery.git
Vcs-Git: https://anonscm.debian.org/git/python-modules/packages/django-celery.git
Homepage: http://celeryproject.org/
X-Python-Version: >= 2.7
X-Python3-Version: >= 3.3
Package: python-django-celery
Architecture: all
Depends: python-anyjson,
python-celery (>= 3.1.1),
python-django,
python-pkg-resources,
python-tz,
${misc:Depends},
${python:Depends}
Description: Celery integration for Django
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.
.
django-celery provides Celery integration for Django using the Django ORM and
cache backend for storing results, autodiscovery of task modules for
applications listed in INSTALLED_APPS, and integration of task monitoring
through the Django admin interface.
.
Using it in a Django project provides a way to distribute asynchronous tasks
like sending emails or batch-processing larger datasets to one or more
separate worker nodes.
Package: python3-django-celery
Architecture: all
Depends: python3-anyjson,
python3-celery,
python3-django,
python3-pkg-resources,
python3-tz,
${misc:Depends},
${python3:Depends}
Description: Celery integration for Django (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.
.
django-celery provides Celery integration for Django using the Django ORM and
cache backend for storing results, autodiscovery of task modules for
applications listed in INSTALLED_APPS, and integration of task monitoring
through the Django admin interface.
.
Using it in a Django project provides a way to distribute asynchronous tasks
like sending emails or batch-processing larger datasets to one or more
separate worker nodes.
.
This package contains the Python 3 version of the library.
Package: python-django-celery-doc
Architecture: all
Section: doc
Depends: ${misc:Depends},
${sphinxdoc:Depends}
Description: Celery integration for Django (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.
.
django-celery provides Celery integration for Django using the Django ORM and
cache backend for storing results, autodiscovery of task modules for
applications listed in INSTALLED_APPS, and integration of task monitoring
through the Django admin interface.
.
Using it in a Django project provides a way to distribute asynchronous tasks
like sending emails or batch-processing larger datasets to one or more
separate worker nodes.
.
This package contains the documentation.
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