Parents (Total: 27)

The searched file hash is included in 27 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
FileSize	328322
MD5	B7FC2CD1DB2D35A5CB127C1165A74445
PackageDescription	async task/job queue based on message passing (Python2 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 2 version of the library.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-celery
PackageSection	python
PackageVersion	3.1.13-3
SHA-1	0198CC6B93542AC9788B6FA875F24853ED4B4862
SHA-256	D91EF88D7FB9AD9346E54FD16DBDA14B25FB74663FAA2DE4C1A6728BBC52209C

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	343594
MD5	69F86F62693CD9B819F38649094943DC
PackageDescription	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.
PackageMaintainer	Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageName	python3-celery
PackageSection	python
PackageVersion	3.1.13-3
SHA-1	1EBAE0C62074B064C0667755FF63CA301527D079
SHA-256	F634FD953C8543DFF5E1FC1C5BFF4F2D3E1E414F1CAC9AF96D2E16429B06C6A4

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
FileSize	331086
MD5	094533DF1599420946631AC6F83479A0
PackageDescription	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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-celery
PackageSection	python
PackageVersion	3.1.13-3
SHA-1	593CDCEB525EC5DA2AB1D84317860A6D97A5862F
SHA-256	5C8B8BAC30D2932468C149AF63BC0BE3EB5214D96B3E570EA38D4ECF501B8CFE

Key	Value
FileSize	326680
MD5	6CBE8E0C536D32E32A93716FAF24DF38
PackageDescription	async task/job queue based on message passing 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-celery
PackageSection	python
PackageVersion	3.1.12-2
SHA-1	5CC4AB60D12AE9D5B011DC65AADBE2750DE1622D
SHA-256	DAE944279C5688BB45FA9A52B00946CD89B01E20D37309AC324495AEA52E408A