Result for 0CC610B951A3681F387B944A7191DE4DCCDDCDF4

Query result

Key Value
FileName./usr/share/man/man1/celeryctl.1.gz
FileSize1046
MD5F629B716CFC887EF700FFAA78A220334
SHA-10CC610B951A3681F387B944A7191DE4DCCDDCDF4
SHA-2569179FC2A83FB7DA601B117A40DCFE8ECFC1CC96DE11A9AF2A029F974FB0C825E
SSDEEP24:XeBnphQU/+3pMqF0lOAJOJgnuipxnlL5huCgu+Tkp8g:XT3pMm0v8WhZlrgjTkpl
TLSHT17111B9F681752A62F9C26330F1505C45214B6F92AC87A71625170C57007D8E571EF356
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