Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

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	343560
MD5	374E7EF4CC6DD078B354A9E71F05E5EE
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	Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageName	python-celery
PackageSection	python
PackageVersion	3.1.13-3
SHA-1	6344112E0C1BBA3B3B0FF375C77EBC7B5F618959
SHA-256	F133C2A6CD52097079E495E3F6A703A722BC3D1F9DE86A23831E53343E440262

Key	Value
FileSize	336974
MD5	5786C3B4E15386B02A7A105A26FF94CC
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	python-celery
PackageSection	python
PackageVersion	3.1.12-2
SHA-1	7D4C9FC90358679EAA009761E5E8EC1C7551D097
SHA-256	32151620DBB79ECCF628C4407D01B844F93996E13C9D2587191F8DE966AD84B4

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

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
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