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	1702288
MD5	930977E89FCB250766BBC58C8BA8148C
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	5.0.0-3
SHA-1	AB8CE82C70B537D1C01F9C1EDE22E1D44CB344B6
SHA-256	74E81109208C0E9CB164A6224582F72E2530C31D5C7666FD33FCFCD8F79D565A

Key	Value
FileSize	1709976
MD5	4C0C8D2C15E8C49FD9C18BDD04EB7A73
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	5.0.0-3
SHA-1	0ED5F33296938E90CB7C6F0A3495DCCE1653C3B8
SHA-256	96DE7F2A5044200C74FF9E7B73BC225EA135D3322406CCF36E17B61CA3CB6452