Package: celery
Version: 4.4.6-1
Architecture: all
Maintainer: Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
Installed-Size: 101
Depends: python3-celery (= 4.4.6-1)
Breaks: python-celery-common (<< 4.4.2-3)
Replaces: python-celery-common (<< 4.4.2-3)
Homepage: http://www.celeryproject.org/
Priority: optional
Section: net
Filename: pool/main/c/celery/celery_4.4.6-1_all.deb
Size: 35288
SHA256: 54658db80c4f773d23f846292a63eb8af8d1967493ace01d373399a0aec8858b
SHA1: c96628c25d11004677fde90edb19699e6ae77737
MD5sum: 8e2de63c5e97a85681bdb016223ee63f
Description: 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.

Package: python-celery-common
Source: celery
Version: 4.4.6-1
Architecture: all
Maintainer: Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
Installed-Size: 45
Depends: celery (>= 4.4.6-1)
Homepage: http://www.celeryproject.org/
Priority: optional
Section: oldlibs
Filename: pool/main/c/celery/python-celery-common_4.4.6-1_all.deb
Size: 23272
SHA256: 236824d13450210599f66b8e7f3303d33bd0497acd8a604d1a8e8d1a419295d7
SHA1: bd983f0f6f14f0abdeca62950b8935abc905e4a0
MD5sum: 3a2d369231c815801652671288581513
Description: 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.

Package: python-celery-doc
Source: celery
Version: 4.4.6-1
Architecture: all
Maintainer: Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
Installed-Size: 17031
Depends: libjs-jquery, libjs-sphinxdoc (>= 2.4.3-5~)
Multi-Arch: foreign
Homepage: http://www.celeryproject.org/
Priority: optional
Section: doc
Filename: pool/main/c/celery/python-celery-doc_4.4.6-1_all.deb
Size: 1802820
SHA256: 38429a5a38b590c55119a47a75df6c480d695614a448e2b80093ce17a38144dc
SHA1: b9051d9e6380e7efa39577ce473b95eeef647428
MD5sum: a0c2714dfc19a8dcea168ece7da8f305
Description: 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.

Package: python3-celery
Source: celery
Version: 4.4.6-1
Architecture: all
Maintainer: Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
Installed-Size: 1486
Depends: python3-billiard (>= 3.6.3.0), python3-dateutil, python3-ephem, python3-kombu (>= 4.6.8), python3-memcache, python3-pkg-resources, python3-pyparsing, python3-tz, python3-future (>= 0.18.0), python3-vine, python3:any
Suggests: python-celery-doc, python3-redis, python3-sqlalchemy
Homepage: http://www.celeryproject.org/
Priority: optional
Section: python
Filename: pool/main/c/celery/python3-celery_4.4.6-1_all.deb
Size: 303600
SHA256: 6a48aeff33f9c8385256205f0d6301f6302c0672db03add8071b818cf47ad473
SHA1: 0e155cf88c2b21308502c088b7ce19ee11ef98af
MD5sum: c307fed55cbf3ee49f82ea2cb8d88bdb
Description: 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.