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	945754
MD5	804230B3B5321DB5DED3415C0896CA32
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	2.5.3-1ubuntu1
SHA-1	E5952B355A2829A99F9F7C75EADD8F07D2662A02
SHA-256	5CC610C8F1D8C40A4784D6F28D6C7B5EED5F7EB55EFD6E6B91691C2FC5648E3A

Key	Value
FileSize	952156
MD5	E725A4C189E5DCB96D9A294F90BA2F18
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	2.5.3-4ubuntu1
SHA-1	3128EA872CCFE5795A4450D3656744F130849CE0
SHA-256	16BF770F00C54E68FCD392B0DC4F1BD887185E1CF04E9DAF73B19F7734686014