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	329758
MD5	0BECDEB1649EF5BD575BB8BF871754F7
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	3.1.18-1ubuntu1
SHA-1	69C6DBE9780F127A32EF0972D688EBBB2B171217
SHA-256	4ABE97D070486A469AE70CA1E5823962C3BEDB071E9109C063077C7CA45470D9

Key	Value
FileSize	332746
MD5	719AAE4E151FF4011AF9C8585ACE0072
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	3.1.18-1ubuntu1
SHA-1	DEDEC601A611560CD8165E968BA2FA676696BBE4
SHA-256	2CC12518F5A60070C173BDDE3DF1F60277D9DC62A8EE0257DD152FBFDEAD990A