Result for 06AF9F881AB1CDFEF94851537B0CD6AAE9A62644

Query result

Key Value
FileName./usr/share/doc/python-celery-doc/html/glossary.html
FileSize9294
MD567BBE91A9F368BC6F1653A315002DD2A
SHA-106AF9F881AB1CDFEF94851537B0CD6AAE9A62644
SHA-256D6AE75328FD8334A8E6AF0DD62326A6ED133485E98CBCADD4877B5A12A14A5B4
SSDEEP192:b3ZHgYhAtRLEuqzjdbOYnFQCaD7VbfLblweeBvO1KOhx:TWYmtRxqFbOYnFQCM7JfLblwPO1KOn
TLSHT16B12B53494E85B334AB386E1E5BB6B353B9680A7E2150454B1EC469D0FC7E68831F3CB
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
FileSize1343220
MD57301FE2991F0C8DFF3CEFAFA440B1CCF
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-celery-doc
PackageSectiondoc
PackageVersion3.1.18-1ubuntu1
SHA-12F5C9F5ED602838B9C8D33116EB9290B5C738D62
SHA-25607CDC498C687A9C5FF48DA2E7074F4514E0BAAB661174DAE0731BBAF08A1F4E7