Parents (Total: 22)

The searched file hash is included in 22 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	56634
MD5	7892F9C312713622AB9A494549EC0AC7
PackageDescription	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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-django-celery-doc
PackageSection	doc
PackageVersion	2.4.2-1
SHA-1	135F538FC688708778D23052D0B98CAAFC8F8B47
SHA-256	65B797F0F27F2DE7D37252D95A519CB73200838A0FAC0F2873B8FE4D9DFB9B68

Key	Value
MD5	23DF4197B35F85CB4A1C44E11EDC6D31
PackageArch	noarch
PackageDescription	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 more. Celery is a 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 a single or more worker servers. Tasks can execute asynchronously (in the background) or synchronously (wait until ready).
PackageMaintainer	Fedora Project
PackageName	python-django-celery
PackageRelease	2.fc21
PackageVersion	3.1.9
SHA-1	25B14A68D2C95DA2DA84151461C23137233FF451
SHA-256	5874351830AAD386DFE07F4E0E3E779BD1B9235FEAF93D1766F5A18A9E1010D3

Key	Value
MD5	78DF264415299EAED56EC3B2F8673D93
PackageArch	noarch
PackageDescription	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 more. Celery is a 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 a single or more worker servers. Tasks can execute asynchronously (in the background) or synchronously (wait until ready).
PackageMaintainer	Fedora Project
PackageName	python-django-celery
PackageRelease	2.fc21
PackageVersion	3.1.9
SHA-1	391A6CC4A588C79C450F852B2E09057A87E1087D
SHA-256	91DCBE9336A95088485BFA7DDD958354920FD3C04B291D5216BC67F7E3003BA5

Key	Value
MD5	11EC66F13E3CEB650FBD20E6215784F0
PackageArch	noarch
PackageDescription	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 more. Celery is a 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 a single or more worker servers. Tasks can execute asynchronously (in the background) or synchronously (wait until ready).
PackageMaintainer	Fedora Project
PackageName	python-django-celery
PackageRelease	1.fc18
PackageVersion	3.0.11
SHA-1	42115C011EA5F0A921CEF024E48E19F0BAD4D7A1
SHA-256	FC7B9C9E3A79B0FB96F4885FA669EAFDDDD33A147065C9311E8DC0B405C0CE3D

Key	Value
MD5	66E2B9900305C44EF1D8FCD04B227E93
PackageArch	noarch
PackageDescription	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 more. Celery is a 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 a single or more worker servers. Tasks can execute asynchronously (in the background) or synchronously (wait until ready).
PackageMaintainer	Fedora Project
PackageName	python-django-celery
PackageRelease	2.fc21
PackageVersion	3.1.9
SHA-1	4A35F1BF99747BC1F50D1CFD8F4907D17C306096
SHA-256	EBC37B9DB0FD264C03C114EBFA21B9DD9EDA282D4775A99F39A3084A37F5253E

Key	Value
FileSize	69988
MD5	C74AB5F633EDB52F162717BE5F1B63E9
PackageDescription	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.
PackageMaintainer	Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageName	python-django-celery-doc
PackageSection	doc
PackageVersion	3.1.16-1
SHA-1	4CA118F2D173B65A8F25AC8622AA798FBDCBF86E
SHA-256	7394BF8F54655620C611C6EB83F91D3688474B6528729DAC31B39704BD282607

Key	Value
MD5	3DDA74C62CCA68A79B058EA95CAC58AF
PackageArch	noarch
PackageDescription	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 more. Celery is a 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 a single or more worker servers. Tasks can execute asynchronously (in the background) or synchronously (wait until ready).
PackageMaintainer	Fedora Project
PackageName	python-django-celery
PackageRelease	2.fc21
PackageVersion	3.1.9
SHA-1	4EED840AB7D1E17A0333EAF126DB433FD5416CCF
SHA-256	42CF3DA7BE907B5B5B2D8C7172C29B3B7A22B524A6528D951CFFDE2663853C9C

Key	Value
FileSize	48972
MD5	39DBEFD12A4BB8BA807563020090D182
PackageDescription	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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-django-celery-doc
PackageSection	doc
PackageVersion	3.1.10-1
SHA-1	50102271D33604729DF1ABEFCA923353109A634A
SHA-256	CA4C2EE00BE976F10C47C95CB3AA6D3165BD16F879C388DF0E4C3EB63FAA07C3

Key	Value
FileSize	49780
MD5	7A8CB0E3061EA530B347F3D0775563E5
PackageDescription	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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-django-celery-doc
PackageSection	doc
PackageVersion	3.1.16-1
SHA-1	57333FD6BB5F48A3C9212976AD95A85650456775
SHA-256	2FCEE55E19878465BD1ACF74E83FCF35390CE36303C984A18DF1020E681EAF97

Key	Value
MD5	EC3BD20671744C11A58E4021E888C276
PackageArch	noarch
PackageDescription	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 more. Celery is a 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 a single or more worker servers. Tasks can execute asynchronously (in the background) or synchronously (wait until ready).
PackageMaintainer	Fedora Project
PackageName	python-django-celery
PackageRelease	2.fc19
PackageVersion	3.0.11
SHA-1	5AE787E4336BB992D3FE164DA7008FF080B2D890
SHA-256	95B1EE546A6CD20D98CA2765AEFB6CCCE77C2DEC7CD17BA0814D2D6035ACE254