Parents (Total: 53)

The searched file hash is included in 53 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	26F988394171FA972771FF3E1D88C208
PackageArch	noarch
PackageDescription	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 using multiprocessing, Eventlet or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). Celery is used in production systems to process millions of tasks a day. 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.
PackageMaintainer	Fedora Project
PackageName	python-celery
PackageRelease	3.fc21
PackageVersion	3.1.9
SHA-1	0079E61505183F4583CAD7CEDC3233ABFE444CC8
SHA-256	284B66F245F2652562DE97D542DE829873FAB604AFB8CD9B57F634F1324AE03E

Key	Value
MD5	BE741BEF4BE8DB8F4E28B6E23B58D313
PackageArch	noarch
PackageDescription	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 using multiprocessing, Eventlet or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). Celery is used in production systems to process millions of tasks a day. 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.
PackageMaintainer	Fedora Project
PackageName	python-celery
PackageRelease	3.fc21
PackageVersion	3.1.9
SHA-1	02215D0E62000494DAD2F6715D6A2E2A1019E321
SHA-256	EEFB1ECC045384C584D3AD99E831D384FC63C4A0EA22862F40F5DF95CF0DF740

Key	Value
MD5	32EB721A870A79C7CA3FB16D3B54B994
PackageArch	noarch
PackageDescription	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 using multiprocessing, Eventlet or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). Celery is used in production systems to process millions of tasks a day. 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.
PackageMaintainer	Fedora Project
PackageName	python-celery
PackageRelease	1.fc15
PackageVersion	2.2.8
SHA-1	03FAD039308C15D07F0CD599CB26D530B1E97FC8
SHA-256	9C0C47818FBB1FCADDD45A4E51FC7A2BFF006B2608A815F508DF49AA27EBDF4F

Key	Value
FileSize	1390156
MD5	8937D5E6D7B11D0E805E5FDE103EEEAC
PackageDescription	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.
PackageMaintainer	Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageName	python-celery-doc
PackageSection	doc
PackageVersion	3.1.13-3
SHA-1	11A4C748D415C05D132A95884E5EF61BF27718A2
SHA-256	5EBFFA215EE2C816550831ABB3782ADF91BA382D452FBF3589E97E7DA5770FBE

Key	Value
MD5	47EAC1D28C12C4C6EF705FEB38656A78
PackageArch	noarch
PackageDescription	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 using multiprocessing, Eventlet or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). Celery is used in production systems to process millions of tasks a day. 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.
PackageMaintainer	Fedora Project
PackageName	python-celery
PackageRelease	1.fc17
PackageVersion	2.2.8
SHA-1	1A157F9E0698A4A23B30951EF8D4E20DFBC42B7C
SHA-256	C2CC3C8454FE469AB40E88105E826B9E234BD53EC4F09186834608050934F926

Key	Value
FileSize	1285684
MD5	75291D431FFDBE829C2CED01184E461D
PackageDescription	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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-celery-doc
PackageSection	doc
PackageVersion	3.1.6-1ubuntu1
SHA-1	1E1647FBA0618A6B2931EE50A2384845607CC348
SHA-256	8A79D11EE0DE7AB55D268C4B3CDB93651D88E83A5D89D73FD2D87F715916E5A7

Key	Value
MD5	7BAC8D3EB153BF7CF0F6BBB2FC1345BE
PackageArch	noarch
PackageDescription	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 using multiprocessing, Eventlet or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). Celery is used in production systems to process millions of tasks a day. 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.
PackageMaintainer	Fedora Project
PackageName	python-celery
PackageRelease	4.fc20
PackageVersion	3.0.19
SHA-1	21AECBF834F753AAD30F68CDCBE8E0A7D70FF8C6
SHA-256	F1BC6BDEB4B1C93A31F03C5A7064B5B64BA6924930705B7E222277D8BEED58D6

Key	Value
MD5	72C521863B1706EC25A92444C511D458
PackageArch	noarch
PackageDescription	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 using multiprocessing, Eventlet or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). Celery is used in production systems to process millions of tasks a day. 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.
PackageMaintainer	Fedora Project
PackageName	python3-celery
PackageRelease	4.fc20
PackageVersion	3.0.19
SHA-1	2D1FD3DF14359932CDB295F4168C44F86C6013D5
SHA-256	1C5DF61FB93AA545A60EBA2CEF77880256C119AA8AE0263BC54F3BCF3519B9A7

Key	Value
FileSize	1343220
MD5	7301FE2991F0C8DFF3CEFAFA440B1CCF
PackageDescription	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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-celery-doc
PackageSection	doc
PackageVersion	3.1.18-1ubuntu1
SHA-1	2F5C9F5ED602838B9C8D33116EB9290B5C738D62
SHA-256	07CDC498C687A9C5FF48DA2E7074F4514E0BAAB661174DAE0731BBAF08A1F4E7

Key	Value
FileSize	952156
MD5	E725A4C189E5DCB96D9A294F90BA2F18
PackageDescription	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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-celery-doc
PackageSection	doc
PackageVersion	2.5.3-4ubuntu1
SHA-1	3128EA872CCFE5795A4450D3656744F130849CE0
SHA-256	16BF770F00C54E68FCD392B0DC4F1BD887185E1CF04E9DAF73B19F7734686014