Result for 080EC1EA7180815B479E0EEF8F6095671D42CCFC

Query result

Key Value
FileName./usr/lib/python3/dist-packages/celery/__init__.py
FileSize5609
MD56B5AE524E19E64A21E2BC81F7FE89DB7
SHA-1080EC1EA7180815B479E0EEF8F6095671D42CCFC
SHA-2568A6D1C2345C28080834F0E3048A55AFE8BA0452BE3852ABB3B21DF59C2E20F3B
SSDEEP96:4uaqRocqsTBCH5uj9Nj3cRbJe4j9Rn/i2fSmu7+sr97IRDcEfPK:USLsH583c+4i2f3A+8J
TLSHT11DC1947748B5945AA2BAF6FECA8B9520133306135F4431257A1CD7287F67918E3F813D
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
FileSize336974
MD55786C3B4E15386B02A7A105A26FF94CC
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
PackageVersion3.1.12-2
SHA-17D4C9FC90358679EAA009761E5E8EC1C7551D097
SHA-25632151620DBB79ECCF628C4407D01B844F93996E13C9D2587191F8DE966AD84B4
Key Value
FileSize326680
MD56CBE8E0C536D32E32A93716FAF24DF38
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>
PackageNamepython3-celery
PackageSectionpython
PackageVersion3.1.12-2
SHA-15CC4AB60D12AE9D5B011DC65AADBE2750DE1622D
SHA-256DAE944279C5688BB45FA9A52B00946CD89B01E20D37309AC324495AEA52E408A