Parents (Total: 9)

The searched file hash is included in 9 parent files which include package known and seen by metalookup. A sample is included below:

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

Key	Value
MD5	554142DBC6FF588A0452E41E28E51306
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.fc23
PackageVersion	3.1.9
SHA-1	B41E6681539346D06D5F629EC1D9D9F4FE87C2C5
SHA-256	291DEBB6472A9C468817B6D46DF58BF031F106A5202743CAEC1F4F18567715BF

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	4F7B8FF0AB1BA647BEBD215991232CE2
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.fc23
PackageVersion	3.1.9
SHA-1	D507792045D4B78B951C60D08AE029FA85D6882E
SHA-256	E63B76BDC8620324B4508C4640DD089DA17C42C0AA015B2701A814AD347DC2D3

Key	Value
MD5	311519E79827FE89FCB71F31279DCFC3
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.fc23
PackageVersion	3.1.9
SHA-1	D872DDFAD94E5692890022FF80619F93809B4AF0
SHA-256	E947216406C8DCB21E61C438B400E7D3CD2A80A0C40117E4F5ECF5143564A7C9

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	6787539888A5050950CE5B268A036C14
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	B947C22B927BF3F6C5098CED0B1D75A2170F5707
SHA-256	CBFC9AC5D7E83A9126C30EBA1CD99074D220D7F8E0970B8222AF4BAF1BEE1258

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	FE669979BD0F8CCFE6859E4A82DC5240
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	F82716F5F38A3AEDADFA7A3EF44750C4E7B4D08A
SHA-256	5A9C25188623153E1EAA52118B2A06EAD6CD5F436CBED3B4A327A88A7843D4D2