Result for 09B61B124F6404097EAA276796327BAD3CC83F6F

Query result

Key Value
FileName./usr/share/doc/python-celery-doc/html/_sources/internals/reference/celery.utils.threads.txt
FileSize247
MD58FB64B5ED127F37B9F732CDAD8D62873
RDS:package_id182052
SHA-109B61B124F6404097EAA276796327BAD3CC83F6F
SHA-2568DAFD30F0F8E180D4043F3036C165D8DD295F7145C20FF9416F79E59BF2700D5
SSDEEP3:1rG6a3oMKluw3dNJKGalH6BbJy6a3oTxEEKZJy6a3o/FS1AGHFNfQ08yWHn:ta3pE5UloJza3yEEuJza3LY08yC
TLSHT14AD08C085F7ECD4387381CB6D6A2F4AE1893370A90D01330621884C0069CBD8FCCE71C
insert-timestamp1679427029.9423065
sourceRDS.db
hashlookup:parent-total43
hashlookup:trust100

Network graph view

Parents (Total: 43)

The searched file hash is included in 43 parent files which include package known and seen by metalookup. A sample is included below:

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
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
FileSize1390156
MD58937D5E6D7B11D0E805E5FDE103EEEAC
PackageDescriptionasync task/job queue based on message passing (Documentation) 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 documentation.
PackageMaintainerDebian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageNamepython-celery-doc
PackageSectiondoc
PackageVersion3.1.13-3
SHA-111A4C748D415C05D132A95884E5EF61BF27718A2
SHA-2565EBFFA215EE2C816550831ABB3782ADF91BA382D452FBF3589E97E7DA5770FBE
Key Value
FileSize1285684
MD575291D431FFDBE829C2CED01184E461D
PackageDescriptionasync task/job queue based on message passing (Documentation) 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 documentation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-celery-doc
PackageSectiondoc
PackageVersion3.1.6-1ubuntu1
SHA-11E1647FBA0618A6B2931EE50A2384845607CC348
SHA-2568A79D11EE0DE7AB55D268C4B3CDB93651D88E83A5D89D73FD2D87F715916E5A7
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
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
FileSize1343220
MD57301FE2991F0C8DFF3CEFAFA440B1CCF
PackageDescriptionasync task/job queue based on message passing (Documentation) 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 documentation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-celery-doc
PackageSectiondoc
PackageVersion3.1.18-1ubuntu1
SHA-12F5C9F5ED602838B9C8D33116EB9290B5C738D62
SHA-25607CDC498C687A9C5FF48DA2E7074F4514E0BAAB661174DAE0731BBAF08A1F4E7
Key Value
FileSize952156
MD5E725A4C189E5DCB96D9A294F90BA2F18
PackageDescriptionasync task/job queue based on message passing (Documentation) 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 documentation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-celery-doc
PackageSectiondoc
PackageVersion2.5.3-4ubuntu1
SHA-13128EA872CCFE5795A4450D3656744F130849CE0
SHA-25616BF770F00C54E68FCD392B0DC4F1BD887185E1CF04E9DAF73B19F7734686014
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
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