Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	1667148
MD5	B0E65E85E0E2FC5E270B3CC370DF4545
PackageDescription	async task/job queue based on message passing (Documentation) 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 documentation.
PackageMaintainer	Debian Python Team <team+python@tracker.debian.org>
PackageName	python-celery-doc
PackageSection	doc
PackageVersion	5.2.1-1
SHA-1	F771CF3D911B991BDE70219696B22DD0A94656BA
SHA-256	75914A2B0E58761102F44299A3927479DE4BA99532C20837EBDAC4D566C37A37

Key	Value
FileSize	1670004
MD5	756C2CE2EF5431D8F5ACEE8BD6922C10
PackageDescription	async task/job queue based on message passing (Documentation) 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 documentation.
PackageMaintainer	Debian Python Team <team+python@tracker.debian.org>
PackageName	python-celery-doc
PackageSection	doc
PackageVersion	5.2.2-1
SHA-1	04254D82D6566E1D8679D5143E1258F6DAE999D9
SHA-256	C406A5AFC3231BD3AB8CA64DBCD62E30A6255271E656AA9ADF430A35FC280990

Key	Value
FileSize	1720324
MD5	E3C3B96CDE19082A8CD7A65CAE97E43E
PackageDescription	async task/job queue based on message passing (Documentation) 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 documentation.
PackageMaintainer	Debian Python Team <team+python@tracker.debian.org>
PackageName	python-celery-doc
PackageSection	doc
PackageVersion	5.2.6-5
SHA-1	9F416F349BE5FCE59F4B8463F989CC0723F7CFA0
SHA-256	820D22B28D4F15C08305E21DBB04BDC626E3F6D3F2EC0C295D56E070FEBD7DC4