Result for 02292102086929B3BA32E0C487894AEA2E2A6391

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/celery/app/__init__.pyo
FileSize4398
MD593ABC4C17ED1AD97E3CA27052CF195F9
SHA-102292102086929B3BA32E0C487894AEA2E2A6391
SHA-2568D290C3DBCD31F244E60E8D582A4926CA6418368FADD24C3C11EB558262DC677
SSDEEP96:WA0Ni0Hq6wTzGAfErAfHXL8aw4rskLsCwDdscFW1/7U59ek015QGu:6OPTzrfE8f9oIY5C55u
TLSHT1969121C4B3FA869BD6B2147990E4032B5629F5B711013B81312C207A5FE979AC87F7CD
hashlookup:parent-total3
hashlookup:trust65

Network graph view

Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5827EA0FB5A89EEFB3635C5C018A2358F
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 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.
PackageMaintainerFedora Project
PackageNamepython-celery
PackageRelease1.fc18
PackageVersion3.0.11
SHA-15B7785EA3C6CC9724B3E27C64444971C5C9CD496
SHA-256AF01E550874C09C65DE0CBF4F9B940F6C7A2153746B1CB3D99E87A758A4F1B13
Key Value
MD553BC43842BF07CC5D56BBE87973D3A44
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 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.
PackageMaintainerFedora Project
PackageNamepython-celery
PackageRelease1.fc18
PackageVersion3.0.11
SHA-1A83C81BA99C37EDC964A0475026D8A1199D62E04
SHA-2563941E8B2087CC6CF472B55DBFC45A2D70FF4CF6947C0A751FAD1F8EC4E5D7FA8
Key Value
MD5DEEEC67F673E352BB995819A36083892
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 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.
PackageMaintainerFedora Project
PackageNamepython-celery
PackageRelease1.fc18
PackageVersion3.0.11
SHA-13FED1509C4B55AB136830B187E7EECD867F796DD
SHA-256CBF2B52A72FD20986D3B7A06D5C226ED00D008838850EDC1F1F2DDA4D56ED610