Result for 01F36D8580450AC0285EA91E2E48079469F2CDBF

Query result

Key Value
FileName./usr/share/doc/python-celery-doc/html/_modules/celery/app/backends.html
FileSize14849
MD57F410364040B76B4E89F3EDC58395795
SHA-101F36D8580450AC0285EA91E2E48079469F2CDBF
SHA-256F3F55B772EB98C4ACF7B61786FB8473F97F2C30B60F2C341401E14E6948753D0
SSDEEP192:Yyzz5nagXae2yu3+WrHfSK/ZslyBtZk3S6urI/IcurkSiS6UpUbNS5M:pNEJTapuK
TLSHT1236239C0A5F6D477027BC8C765FE0B26B9E5582BE48A0600B7FD56B84BECD44380796E
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize1667148
MD5B0E65E85E0E2FC5E270B3CC370DF4545
PackageDescriptionasync 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.
PackageMaintainerDebian Python Team <team+python@tracker.debian.org>
PackageNamepython-celery-doc
PackageSectiondoc
PackageVersion5.2.1-1
SHA-1F771CF3D911B991BDE70219696B22DD0A94656BA
SHA-25675914A2B0E58761102F44299A3927479DE4BA99532C20837EBDAC4D566C37A37