Result for 0376316F7BFEF576BBEA1E163FF5788A7E3FEC50

Query result

Key Value
FileName./usr/share/doc/python-celery-doc/html/_modules/celery/utils/abstract.html
FileSize18678
MD55EE7BDA4F588A583D04CDDDB75B63D7B
SHA-10376316F7BFEF576BBEA1E163FF5788A7E3FEC50
SHA-256DD8749E33E2A6204918FC38F969C97D24D7BB1EEB41F354B1A28746663C34200
SSDEEP192:3yzzievy+DKNSleIOzYXlNrldttd/qd//ZlNOoSKNwMIuLvYF43yqrSi7:e39Bbygod1p3v+y
TLSHT1628255C4A6FBD1B30177C5D752FE1B26A8E1486AE49A1500B7FD87784BECE407807D2A
hashlookup:parent-total2
hashlookup:trust60

Network graph view

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
FileSize1723712
MD549F9CF427AA43E4013B61DA4FB9DA999
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 Modules Team <python-modules-team@lists.alioth.debian.org>
PackageNamepython-celery-doc
PackageSectiondoc
PackageVersion4.2.1-3
SHA-153DB966450E12B0895D6737048A56C22152EF35C
SHA-256F90C6FCD9C9D596550867B0D2B8259CAEC41DB512290BCB6770C00776F8DBAB1
Key Value
FileSize1723364
MD5338068F5AE821648D1919DA8A96D8128
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
PackageVersion4.2.1-5fakesync1
SHA-174232B17DEDC9E0272322547EB9A029D0DA33792
SHA-256FA72F898A3D760496CE5E9369B77B37E4CBC0C2360449F1B49D2B2298831B7D5