Result for 042FA8664ED1B9C7E2FF1DBE5F0A5B99464FE377

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/celery/backends/rpc.pyo
FileSize3199
MD57FEEF0DCEC5C4D1BB19EC55FFB4B2840
SHA-1042FA8664ED1B9C7E2FF1DBE5F0A5B99464FE377
SHA-256772390285C17110E9203EA1F8E7B58E65787F193DF8A1A860C842139A1E93246
SSDEEP48:gi+a3EqZW1kZcYFxJykN8RtKTc8PHorPNKPupelYmTWeaTm2EqG1sz8IfXWC5u9L:j+E2VY7tN88vPuP8P9lbwmpqGg/XWhL
TLSHT17061DFC8F3BA4E97DBB95632B0F02317A17CB13712023781296885B62DE8259D57E7CC
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
MD5D5A8BC3900068FD517AB157AF5CBEA98
PackageArchnoarch
PackageDescriptionAn 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 using multiprocessing, Eventlet or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). Celery is used in production systems to process millions of tasks a day. Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using web hooks. 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.
PackageMaintainerFedora Project
PackageNamepython2-celery
PackageRelease2.fc24
PackageVersion3.1.20
SHA-1F65D060B30D33945DEDEB3386622B94C60810367
SHA-256D87DF7BE17D4F53B2DE87546C7A839A856DCDB5DB130C2DE081EF7FB120A74CF
Key Value
MD54B446B573EA850D5B36850AA7FD94A69
PackageArchnoarch
PackageDescriptionAn 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 using multiprocessing, Eventlet or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). Celery is used in production systems to process millions of tasks a day. Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using web hooks. 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.
PackageMaintainerFedora Project
PackageNamepython2-celery
PackageRelease2.fc24
PackageVersion3.1.20
SHA-1CCF599967E71BDB38AA2BD1B3B6691D046D685B5
SHA-2568AA0CECEEEA9F691DABF1C21EA22C575FE69EE3027C1FEAC3D068583E17AA794