Result for 0A1930A6CA36591F6E8879FCA4985090439CED7A

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/celery/backends/redis.py
FileSize3797
MD528D6389C55CC7013CDE3A8F46071C628
SHA-10A1930A6CA36591F6E8879FCA4985090439CED7A
SHA-256E84F953CF1404E534308EBF9A4B919E3D8C77FFB08D1242B7F5547AA11F9F37D
SSDEEP48:RA8brjulNVpUKfwxj4MKVNk3pXnjvz1ejiMitu4NO1l8Yu98kShrledtPiLhh:j/jAvUKIGJNCnjzTMitu/38b9f+en0
TLSHT15B7120192913EC266323C5574147E413773DAC17190D383C36BC83986FBAE54D2D9DDA
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
FileSize330590
MD5F625499C40A8B9C8988C3A8B9502822E
PackageDescriptionasync task/job queue based on message passing 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-celery
PackageSectionpython
PackageVersion3.1.6-1ubuntu1
SHA-12C2DB53C55581F2593749BF74C665BDB49F75D8D
SHA-256F7071F0C89B0F77B3EACE53FDEF6573FA8F3C4BADEB976756E209F64BB44FDF4