Parents (Total: 13)

The searched file hash is included in 13 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	F9DDF342AB0263BA6DFDFADB9C6C03EF
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 web hooks. 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	2.fc24
PackageVersion	3.1.20
SHA-1	A78E19022E3EF58DDA204528AB50F0A197B0DA4D
SHA-256	0DA0579739C43E8D42685D20194FBB47C5CA625A9F5437A290F89C1A56F36854

Key	Value
FileSize	332746
MD5	719AAE4E151FF4011AF9C8585ACE0072
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	3.1.18-1ubuntu1
SHA-1	DEDEC601A611560CD8165E968BA2FA676696BBE4
SHA-256	2CC12518F5A60070C173BDDE3DF1F60277D9DC62A8EE0257DD152FBFDEAD990A

Key	Value
CRC32	E9C1180A
FileName	15949
FileSize	338250
MD5	CDEE935F8CCD85ECCEE7EBCCDD81CCA3
OpSystemCode	362
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	3.1.20-1
ProductCode	184813
RDS:package_id	184813
SHA-1	BDB77CB053F62B9B4C1E37163F318CEF89A9BF2E
SHA-256	018045CB8EF609663C9ABD1F4433853A9FD9632A91A5123EE457B32A47FCE0D7
SpecialCode
db	nsrl_legacy
insert-timestamp	1648755524.3276398
source	RDS_2022.03.1_legacy.db

Key	Value
MD5	042DAB88C79682672D90CEDA5EB6784B
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 web hooks. 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	2.fc24
PackageVersion	3.1.20
SHA-1	96F891EAD23CD72E82D3ADF6AADC8C9C5D0A8924
SHA-256	7C321A613B3E17047566AE0DBD9F3E853BD54112ACF5175721E61734FB6AA4BC

Key	Value
FileSize	357286
MD5	2E97E7AFED080084584FFE0DD0499B83
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	3.1.23-7
SHA-1	18AF277F9A4AE39D23739A7D3BCBDFA4DB9AAFF3
SHA-256	924E0794ADF8A8FEC9AE7C7B5EA41F8F00E78EBC9D8281E12C93ADEFD0AE28BA

Key	Value
MD5	4B446B573EA850D5B36850AA7FD94A69
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 web hooks. 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	python2-celery
PackageRelease	2.fc24
PackageVersion	3.1.20
SHA-1	CCF599967E71BDB38AA2BD1B3B6691D046D685B5
SHA-256	8AA0CECEEEA9F691DABF1C21EA22C575FE69EE3027C1FEAC3D068583E17AA794

Key	Value
MD5	D5A8BC3900068FD517AB157AF5CBEA98
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 web hooks. 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	python2-celery
PackageRelease	2.fc24
PackageVersion	3.1.20
SHA-1	F65D060B30D33945DEDEB3386622B94C60810367
SHA-256	D87DF7BE17D4F53B2DE87546C7A839A856DCDB5DB130C2DE081EF7FB120A74CF

Key	Value
CRC32	B437C693
FileName	15948
FileSize	338162
MD5	32E8BC87805F2B0B20819032244D062B
OpSystemCode	362
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	3.1.20-1
ProductCode	184813
RDS:package_id	184813
SHA-1	3905BD1ADBDC250FD5460E66BB8C319E1E0E24F2
SHA-256	2E0ED8AA65AAE738157772A5E04A3762B44DDD77EF47E96C42DADEBCB2DC97D8
SpecialCode
db	nsrl_legacy
insert-timestamp	1648755524.9682114
source	RDS_2022.03.1_legacy.db

Key	Value
FileSize	357370
MD5	55EC37BD84B4EFDF6073B100C7E305F6
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	3.1.23-7
SHA-1	3E8FDAA59D1A8ECAA20F801654A3F346FD2EFADC
SHA-256	280C4BF9E45167AD13C764101AB9EC2A1045982C5A445DC099CF5A9979FBFEA6

Key	Value
SHA-1	EFF618EADBB1BA0CEF7E36EECD6CE397271379B6
snap-authority	canonical
snap-filename	uHF1Xnb5hOMG7XFOR7vv5GCmLKSzBwE4_70.snap
snap-id	uHF1Xnb5hOMG7XFOR7vv5GCmLKSzBwE4_70
snap-name	sentry
snap-publisher-id	eEoV9TnaNkCzfJBu9SRhr2678vzyYV43
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2017-07-14T16:39:28.777739Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/uHF1Xnb5hOMG7XFOR7vv5GCmLKSzBwE4_70.snap

Key	Value
FileSize	329758
MD5	0BECDEB1649EF5BD575BB8BF871754F7
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	3.1.18-1ubuntu1
SHA-1	69C6DBE9780F127A32EF0972D688EBBB2B171217
SHA-256	4ABE97D070486A469AE70CA1E5823962C3BEDB071E9109C063077C7CA45470D9

Key	Value
FileName	12499
FileSize	338292
MD5	0671C75DB71DFE15FC9DA158F238F92A
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	3.1.23-5
RDS:package_id	182052
SHA-1	688569E2C99BBFA50001B6FE0040FF10C7A8B062
SHA-256	B1742F8B782E1785EDC84895E67DE89161C8BCE9FD17541F4BC9B421957AF099
insert-timestamp	1679408380.7743027
source	RDS.db

Key	Value
FileName	12500
FileSize	338404
MD5	7489A989CC005ECF78670BE15A85E784
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	3.1.23-5
RDS:package_id	182052
SHA-1	4996B358D71ED36618BB62B2A52C586E484F5702
SHA-256	834442A0DF78FBCAFA2A748335844A6DCF8327273A221D2EB2141D82AF277477
insert-timestamp	1679408380.7730992
source	RDS.db