Result for 0802B1F710F3F4681AED9828AE4DA342196B8CFE

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/djcelery/__init__.py
FileSize631
MD539ACD5D37E8576AA870B504FA80413E7
SHA-10802B1F710F3F4681AED9828AE4DA342196B8CFE
SHA-2561ED9DC6C130A4450A25B0E595EFA6DABAFFEE35F5C89CD2CE3D5A6F93A2FF00F
SSDEEP12:Y0gxAGXhaeqdCssClKjCwa4Jd5R1Nyh40fzVmrYGdGcTCOzGdbEFhIIBHdEVd9Mr:qthmXl826VR1Nd0fhOocTCJyhIIBHdEk
TLSHT15BF02D43A830D88EA3B4EDFB8040CC25A361A62D0FCD3023A721511C72E296A937890E
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
FileSize45108
MD5DF73A21691CF797F27F2EDC08F813DC9
PackageDescriptionCelery integration for Django 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. . django-celery provides Celery integration for Django using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and integration of task monitoring through the Django admin interface. . Using it in a Django project provides a way to distribute asynchronous tasks like sending emails or batch-processing larger datasets to one or more separate worker nodes.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-django-celery
PackageSectionpython
PackageVersion3.1.10-1
SHA-13DCE98232FC09DE04CEA1C75F7CA372254000AE1
SHA-2562350FCB8D7B0998EE60F9CA199BC626C997F2302AA0305D287A05C9482CD00C6