Result for 02FDF2E00680F0E9589FBE8265A4B9173C719E60

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/celery/tests/compat_modules/test_http.pyo
FileSize8716
MD51B49292D6C1E20081333A7DD8B5256E4
SHA-102FDF2E00680F0E9589FBE8265A4B9173C719E60
SHA-25686C6BAA31E8990118F1CB73FF28C2241196BC6459FB5D9C76FC27FCA60DA9EA7
SSDEEP192:5c+XShVko1GO1ITXM8OWOdOITC2NCM+EE:mGm11F1IaDUIZE
TLSHT174029AC1F3BF45A7E2241677F1B0232BFA54F6B36200B741216C54751DD86AAD8BB788
hashlookup:parent-total9
hashlookup:trust95

Network graph view

Parents (Total: 9)

The searched file hash is included in 9 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD53ADB92A768A8D5E030BF31F155B21B58
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
PackageRelease4.fc23
PackageVersion3.1.9
SHA-13C7FDFD4F67F27FD72F3DC4D9DAE6F3DF4A3F8B9
SHA-256E88D8FD0E7EA7D01436FD3A6A324515CFE654560CD0A393BDF154956E165E2EE
Key Value
MD5BE741BEF4BE8DB8F4E28B6E23B58D313
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
PackageRelease3.fc21
PackageVersion3.1.9
SHA-102215D0E62000494DAD2F6715D6A2E2A1019E321
SHA-256EEFB1ECC045384C584D3AD99E831D384FC63C4A0EA22862F40F5DF95CF0DF740
Key Value
MD58BF659EC1BE47E624F476EE71B35173F
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
PackageRelease4.fc23
PackageVersion3.1.9
SHA-1AFA49ABA28324F8AE9E3DD82866C50DD3D0DF23A
SHA-25610D43CC290A443B2A116732B21180B1C7D83AB3281787AA34851BCBF121F0ABE
Key Value
MD55999136AEF8F59112AA46F1564195AE4
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
PackageRelease3.fc21
PackageVersion3.1.9
SHA-195AB42C8CC62A8C2F96DE2B0D1FE3A50F58A2100
SHA-2563489713F71954DEFC2B85E168CC096899F51CF5CDE2E77792328790588149046
Key Value
MD547F7AB5886B1B0CA87ECE906385313DC
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
PackageRelease3.fc21
PackageVersion3.1.9
SHA-13A25AEA1252D7A8A725B8112A05F644DC3BD025B
SHA-2564063E413206D0B41EA6919F4283EB57B1270FC00DF5AAC707E2CD9BE56BB1834
Key Value
MD53C9C6870588B932320EBD795BD28206D
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
PackageRelease3.fc21
PackageVersion3.1.9
SHA-1B50518ACBFC9137E612D906CEAD9280DFC3A2935
SHA-25663ADB3B4723E4EFA966B27F04953C9040CD62930EB30561CCD1ADF20CA6DC955
Key Value
MD55B80AD979CF836B674A7D6735C12BCAB
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
PackageRelease4.fc23
PackageVersion3.1.9
SHA-1C97185ACFD5327C8ECA353CA36D9B94B07E66670
SHA-2567B33BA996E10938E117A588924A9C1C70E947256022E179981FC2A1FE53E2799
Key Value
MD50E5DC4C8BAE5F926EB2568A58CBF42AA
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
PackageRelease3.fc21
PackageVersion3.1.9
SHA-1F53AC09FE045B640545FC3876711B39290616907
SHA-256326EFC9B49CA0717F0AEF1A0E452F2116A426F9AF027862E80CD93D61EE0D66A
Key Value
MD526F988394171FA972771FF3E1D88C208
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
PackageRelease3.fc21
PackageVersion3.1.9
SHA-10079E61505183F4583CAD7CEDC3233ABFE444CC8
SHA-256284B66F245F2652562DE97D542DE829873FAB604AFB8CD9B57F634F1324AE03E