Result for 04A9C300ABED056DE5ADBC80155F1AAD1F6E771A

Query result

Key Value
FileName./usr/share/doc/python3-celery/docs/history/changelog-1.0.rst
FileSize56388
MD5EE1B93C783C03F4AA5B404C4B42F9084
SHA-104A9C300ABED056DE5ADBC80155F1AAD1F6E771A
SHA-256172512C60A7EB0AA7CC038DFFA62A08EF67427CEA20099F5AE42515D87937C3C
SSDEEP768:7E0LCFRyR1HZgFgcwr0cu3a6Y0+436rvmsXb4OyNCZMa/+qCW07NYWDiUEQU6bwt:QBggFHwrms9rb4OMCZMBuL68Y0
TLSHT19443180AB96163B517A34276F1DA53A2D735806F27207229705D81BC2F2D96A83FFDCC
hashlookup:parent-total10
hashlookup:trust100

Network graph view

Parents (Total: 10)

The searched file hash is included in 10 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5D8613E93CC616CEFCD0DA5C4AE37689A
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
PackageNamepython3-celery
PackageRelease1.fc19
PackageVersion3.0.15
SHA-1D86D9209FB10D5D6B36B2F577D7AE66E4C832F51
SHA-256A8648AC0F09ACA0F70DB35DC08AD7466706A6AC9192EC9C1962FB4DD869E66C1
Key Value
MD55AB278C7F16131BA3CBFA842FEB3499F
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.fc19
PackageVersion3.0.15
SHA-19C572C79C52E198FD8322A6AD9EC53219B3C3E24
SHA-256DDF2C87B7B410DE19FB8B740E40369AD56C1318A161523D6581CD5C757C06E1A
Key Value
MD57BAC8D3EB153BF7CF0F6BBB2FC1345BE
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.fc20
PackageVersion3.0.19
SHA-121AECBF834F753AAD30F68CDCBE8E0A7D70FF8C6
SHA-256F1BC6BDEB4B1C93A31F03C5A7064B5B64BA6924930705B7E222277D8BEED58D6
Key Value
MD5C3499A46E5C284990141CFD2A5B5FEE8
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.fc19
PackageVersion3.0.15
SHA-16989EF6FA18A96A261A090488A2C57A248BB5E16
SHA-2562D09A0F5075E2A70CB66DE65AA7D81D5059BDBEF6C692B2D65518849E3B1D7F3
Key Value
MD5313F408CD4E48C5C99F5B530BE6F459E
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.fc20
PackageVersion3.0.19
SHA-196BD5146AFE8100BDFD8DD807103D06AD6D7F9D3
SHA-25667E91DDD4DEA28FF16A5734389815FA748A0E2BB5B440305848A794EA2FB0C52
Key Value
MD572C521863B1706EC25A92444C511D458
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
PackageNamepython3-celery
PackageRelease4.fc20
PackageVersion3.0.19
SHA-12D1FD3DF14359932CDB295F4168C44F86C6013D5
SHA-2561C5DF61FB93AA545A60EBA2CEF77880256C119AA8AE0263BC54F3BCF3519B9A7
Key Value
MD5D30D8C0D4D15D4C380BFF7F5EC6DDF8F
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.fc19
PackageVersion3.0.15
SHA-1D69133618A2EA7CC422B2D4C80FF45A680B26428
SHA-256F731EC5E7740258A321B9B589E5C9439B532784EE8AFD8000F45158CEAFCDB03
Key Value
MD55F1C1177B7FC41870EA7D7B25B9E5B05
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
PackageNamepython3-celery
PackageRelease4.fc20
PackageVersion3.0.19
SHA-1D1AB5F53BBB23332BA675E08671B9BA7796645D8
SHA-256B96C248FD620BD1A7B02999F3A0AC37FEDCCF518F9BF0DA831D30774F9F0B290
Key Value
MD598BD4F181DB78351D0D52055B35DA473
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
PackageNamepython3-celery
PackageRelease1.fc19
PackageVersion3.0.15
SHA-18F0EFCE52638E48FE73918BB9B62309FAF114FFF
SHA-2562BC1C654F773467EB89A04B3A9685E0F3DF91404C23C1871B1C69B07AC0009AA
Key Value
MD5E9D1AF185094371C9AC65C3F34629526
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
PackageNamepython3-celery
PackageRelease1.fc19
PackageVersion3.0.15
SHA-1F70B210E4DDB6F3BDF8D0BF297B7353A22EE8957
SHA-256D65C83BB2A530379A87EA589BBCA4F0F763F1983FC1D55196B0F604360778302