Parents (Total: 19)

The searched file hash is included in 19 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
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	47F7AB5886B1B0CA87ECE906385313DC
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	3A25AEA1252D7A8A725B8112A05F644DC3BD025B
SHA-256	4063E413206D0B41EA6919F4283EB57B1270FC00DF5AAC707E2CD9BE56BB1834

Key	Value
MD5	3ADB92A768A8D5E030BF31F155B21B58
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.fc23
PackageVersion	3.1.9
SHA-1	3C7FDFD4F67F27FD72F3DC4D9DAE6F3DF4A3F8B9
SHA-256	E88D8FD0E7EA7D01436FD3A6A324515CFE654560CD0A393BDF154956E165E2EE

Key	Value
MD5	11E54F472AE660DE188B3DEF4CFA7FE9
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	3.fc21
PackageVersion	3.1.9
SHA-1	42D9BD77CBA9DCF713356ACB32AB06ED749B7CC7
SHA-256	FFE4E35154D3ACFE5EB5F104F5ADBF67FE3374FCDA74B7E8E8EE4CD1E0054995

Key	Value
MD5	0F5FA20E5EA6923207D6EBA3163673B9
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	3.fc21
PackageVersion	3.1.9
SHA-1	4A680E34AEB10608082D497716F1EEAEA46F3343
SHA-256	E7BE022E194403A34535193B5D99AFCD9C62093836FA77E8E6A8DA6DA09AAC82

Key	Value
MD5	E3B70828E077BEE2F67C9907AE8AB383
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	3.fc21
PackageVersion	3.1.9
SHA-1	62C036D702DCA52EB40185C4592DAE42EFBB89A2
SHA-256	F8E86B6EBCDBB8DFD23EEAB75914C1AE8FC9A7007C7896E28A0B9780B8C803B5

Key	Value
MD5	5999136AEF8F59112AA46F1564195AE4
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	95AB42C8CC62A8C2F96DE2B0D1FE3A50F58A2100
SHA-256	3489713F71954DEFC2B85E168CC096899F51CF5CDE2E77792328790588149046

Key	Value
MD5	7788D1621CEB1BDBD9511E78C70EDF27
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	3.fc21
PackageVersion	3.1.9
SHA-1	A92FBFB43249B6C66D45F0C1912EC22B2475784F
SHA-256	62F531D99DC53997CA40CC0CEB427A57A3CEB6331F60EE850A22459166B487CA