Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

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
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
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