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
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
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
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