Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	1390156
MD5	8937D5E6D7B11D0E805E5FDE103EEEAC
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 Modules Team <python-modules-team@lists.alioth.debian.org>
PackageName	python-celery-doc
PackageSection	doc
PackageVersion	3.1.13-3
SHA-1	11A4C748D415C05D132A95884E5EF61BF27718A2
SHA-256	5EBFFA215EE2C816550831ABB3782ADF91BA382D452FBF3589E97E7DA5770FBE

Key	Value
FileSize	1354380
MD5	2840EBF374DC0E641A8077CF9F650DCD
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-celery-doc
PackageSection	doc
PackageVersion	3.1.13-3
SHA-1	5FDF56E6391486BD5FBDE90D98FB85DCCAD0F849
SHA-256	CBB9B8D722542A3ED87F159286A2514116BE58FB86E55EEBAD6FDDAD1FB1959F