Result for 09F78CEF3F773F68CFFBEA13664D00DACBCD57E7

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python2.7/site-packages/celery/backends/__init__.py
FileSize1980
MD523EBC1948D73CAE769787933E3480A7B
SHA-109F78CEF3F773F68CFFBEA13664D00DACBCD57E7
SHA-2569A02EA2958205623F25FE9298E3130C454EEA91B56C79FF2CFDBB7392AD2E264
SHA-51241C4103F5F5FFA5F7FBDF04F48F5402BEF0C0AB4F8794C13DCB5460D2F449EF8EF0D0D2973FB0F28926761123D6338502CD1CFE41B017108A9A6E76E171EA9C2
SSDEEP48:Rr7uPEQ0Mc5R6G0T0u5yzlXMD6FW6rkmEDl5/+6mpP7TVMr22d/q6Ts6j:pyEQ0MgIzgGytM2rIHLRmpDTVMi2d/3r
TLSHT1C2412F2D867AAC6B8F75882A71F01B61D66D160F1D0013A5BC8DE22C0F7AA09F1E419C
insert-timestamp1650081231.371044
mimetypetext/x-python
sourcesnap:uHF1Xnb5hOMG7XFOR7vv5GCmLKSzBwE4_70
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
FileSize332746
MD5719AAE4E151FF4011AF9C8585ACE0072
PackageDescriptionasync task/job queue based on message passing (Python3 version) 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. . The execution units, called tasks, are executed concurrently on one or more worker nodes. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). . 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. Celery is easy to integrate with Django, using the python-django-celery package. . This package contains the Python 3 version of the library.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-celery
PackageSectionpython
PackageVersion3.1.18-1ubuntu1
SHA-1DEDEC601A611560CD8165E968BA2FA676696BBE4
SHA-2562CC12518F5A60070C173BDDE3DF1F60277D9DC62A8EE0257DD152FBFDEAD990A
Key Value
FileSize331086
MD5094533DF1599420946631AC6F83479A0
PackageDescriptionasync task/job queue based on message passing (Python3 version) 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. . The execution units, called tasks, are executed concurrently on one or more worker nodes. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). . 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. Celery is easy to integrate with Django, using the python-django-celery package. . This package contains the Python 3 version of the library.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-celery
PackageSectionpython
PackageVersion3.1.13-3
SHA-1593CDCEB525EC5DA2AB1D84317860A6D97A5862F
SHA-2565C8B8BAC30D2932468C149AF63BC0BE3EB5214D96B3E570EA38D4ECF501B8CFE
Key Value
FileSize343560
MD5374E7EF4CC6DD078B354A9E71F05E5EE
PackageDescriptionasync task/job queue based on message passing (Python2 version) 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. . The execution units, called tasks, are executed concurrently on one or more worker nodes. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). . 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. Celery is easy to integrate with Django, using the python-django-celery package. . This package contains the Python 2 version of the library.
PackageMaintainerDebian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageNamepython-celery
PackageSectionpython
PackageVersion3.1.13-3
SHA-16344112E0C1BBA3B3B0FF375C77EBC7B5F618959
SHA-256F133C2A6CD52097079E495E3F6A703A722BC3D1F9DE86A23831E53343E440262
Key Value
FileSize336974
MD55786C3B4E15386B02A7A105A26FF94CC
PackageDescriptionasync task/job queue based on message passing 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. . The execution units, called tasks, are executed concurrently on one or more worker nodes. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). . 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. Celery is easy to integrate with Django, using the python-django-celery package.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-celery
PackageSectionpython
PackageVersion3.1.12-2
SHA-17D4C9FC90358679EAA009761E5E8EC1C7551D097
SHA-25632151620DBB79ECCF628C4407D01B844F93996E13C9D2587191F8DE966AD84B4
Key Value
FileSize326680
MD56CBE8E0C536D32E32A93716FAF24DF38
PackageDescriptionasync task/job queue based on message passing 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. . The execution units, called tasks, are executed concurrently on one or more worker nodes. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). . 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. Celery is easy to integrate with Django, using the python-django-celery package.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-celery
PackageSectionpython
PackageVersion3.1.12-2
SHA-15CC4AB60D12AE9D5B011DC65AADBE2750DE1622D
SHA-256DAE944279C5688BB45FA9A52B00946CD89B01E20D37309AC324495AEA52E408A
Key Value
FileSize328322
MD5B7FC2CD1DB2D35A5CB127C1165A74445
PackageDescriptionasync task/job queue based on message passing (Python2 version) 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. . The execution units, called tasks, are executed concurrently on one or more worker nodes. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). . 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. Celery is easy to integrate with Django, using the python-django-celery package. . This package contains the Python 2 version of the library.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-celery
PackageSectionpython
PackageVersion3.1.13-3
SHA-10198CC6B93542AC9788B6FA875F24853ED4B4862
SHA-256D91EF88D7FB9AD9346E54FD16DBDA14B25FB74663FAA2DE4C1A6728BBC52209C
Key Value
SHA-1EFF618EADBB1BA0CEF7E36EECD6CE397271379B6
snap-authoritycanonical
snap-filenameuHF1Xnb5hOMG7XFOR7vv5GCmLKSzBwE4_70.snap
snap-iduHF1Xnb5hOMG7XFOR7vv5GCmLKSzBwE4_70
snap-namesentry
snap-publisher-ideEoV9TnaNkCzfJBu9SRhr2678vzyYV43
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2017-07-14T16:39:28.777739Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/uHF1Xnb5hOMG7XFOR7vv5GCmLKSzBwE4_70.snap
Key Value
FileSize343594
MD569F86F62693CD9B819F38649094943DC
PackageDescriptionasync task/job queue based on message passing (Python3 version) 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. . The execution units, called tasks, are executed concurrently on one or more worker nodes. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). . 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. Celery is easy to integrate with Django, using the python-django-celery package. . This package contains the Python 3 version of the library.
PackageMaintainerDebian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageNamepython3-celery
PackageSectionpython
PackageVersion3.1.13-3
SHA-11EBAE0C62074B064C0667755FF63CA301527D079
SHA-256F634FD953C8543DFF5E1FC1C5BFF4F2D3E1E414F1CAC9AF96D2E16429B06C6A4
Key Value
FileSize329758
MD50BECDEB1649EF5BD575BB8BF871754F7
PackageDescriptionasync task/job queue based on message passing (Python2 version) 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. . The execution units, called tasks, are executed concurrently on one or more worker nodes. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). . 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. Celery is easy to integrate with Django, using the python-django-celery package. . This package contains the Python 2 version of the library.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-celery
PackageSectionpython
PackageVersion3.1.18-1ubuntu1
SHA-169C6DBE9780F127A32EF0972D688EBBB2B171217
SHA-2564ABE97D070486A469AE70CA1E5823962C3BEDB071E9109C063077C7CA45470D9