Parents (Total: 38)

The searched file hash is included in 38 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	26F988394171FA972771FF3E1D88C208
PackageArch	noarch
PackageDescription	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 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.
PackageMaintainer	Fedora Project
PackageName	python-celery
PackageRelease	3.fc21
PackageVersion	3.1.9
SHA-1	0079E61505183F4583CAD7CEDC3233ABFE444CC8
SHA-256	284B66F245F2652562DE97D542DE829873FAB604AFB8CD9B57F634F1324AE03E

Key	Value
FileSize	328322
MD5	B7FC2CD1DB2D35A5CB127C1165A74445
PackageDescription	async 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-celery
PackageSection	python
PackageVersion	3.1.13-3
SHA-1	0198CC6B93542AC9788B6FA875F24853ED4B4862
SHA-256	D91EF88D7FB9AD9346E54FD16DBDA14B25FB74663FAA2DE4C1A6728BBC52209C

Key	Value
MD5	BE741BEF4BE8DB8F4E28B6E23B58D313
PackageArch	noarch
PackageDescription	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 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.
PackageMaintainer	Fedora Project
PackageName	python-celery
PackageRelease	3.fc21
PackageVersion	3.1.9
SHA-1	02215D0E62000494DAD2F6715D6A2E2A1019E321
SHA-256	EEFB1ECC045384C584D3AD99E831D384FC63C4A0EA22862F40F5DF95CF0DF740

Key	Value
FileSize	357286
MD5	2E97E7AFED080084584FFE0DD0499B83
PackageDescription	async 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.
PackageMaintainer	Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageName	python-celery
PackageSection	python
PackageVersion	3.1.23-7
SHA-1	18AF277F9A4AE39D23739A7D3BCBDFA4DB9AAFF3
SHA-256	924E0794ADF8A8FEC9AE7C7B5EA41F8F00E78EBC9D8281E12C93ADEFD0AE28BA

Key	Value
FileSize	343594
MD5	69F86F62693CD9B819F38649094943DC
PackageDescription	async 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.
PackageMaintainer	Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageName	python3-celery
PackageSection	python
PackageVersion	3.1.13-3
SHA-1	1EBAE0C62074B064C0667755FF63CA301527D079
SHA-256	F634FD953C8543DFF5E1FC1C5BFF4F2D3E1E414F1CAC9AF96D2E16429B06C6A4

Key	Value
FileSize	330590
MD5	F625499C40A8B9C8988C3A8B9502822E
PackageDescription	async 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-celery
PackageSection	python
PackageVersion	3.1.6-1ubuntu1
SHA-1	2C2DB53C55581F2593749BF74C665BDB49F75D8D
SHA-256	F7071F0C89B0F77B3EACE53FDEF6573FA8F3C4BADEB976756E209F64BB44FDF4

Key	Value
CRC32	B437C693
FileName	15948
FileSize	338162
MD5	32E8BC87805F2B0B20819032244D062B
OpSystemCode	362
PackageDescription	async 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-celery
PackageSection	python
PackageVersion	3.1.20-1
ProductCode	184813
RDS:package_id	184813
SHA-1	3905BD1ADBDC250FD5460E66BB8C319E1E0E24F2
SHA-256	2E0ED8AA65AAE738157772A5E04A3762B44DDD77EF47E96C42DADEBCB2DC97D8
SpecialCode
db	nsrl_legacy
insert-timestamp	1648755524.9682114
source	RDS_2022.03.1_legacy.db

Key	Value
MD5	47F7AB5886B1B0CA87ECE906385313DC
PackageArch	noarch
PackageDescription	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 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.
PackageMaintainer	Fedora Project
PackageName	python-celery
PackageRelease	3.fc21
PackageVersion	3.1.9
SHA-1	3A25AEA1252D7A8A725B8112A05F644DC3BD025B
SHA-256	4063E413206D0B41EA6919F4283EB57B1270FC00DF5AAC707E2CD9BE56BB1834

Key	Value
MD5	3ADB92A768A8D5E030BF31F155B21B58
PackageArch	noarch
PackageDescription	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 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.
PackageMaintainer	Fedora Project
PackageName	python-celery
PackageRelease	4.fc23
PackageVersion	3.1.9
SHA-1	3C7FDFD4F67F27FD72F3DC4D9DAE6F3DF4A3F8B9
SHA-256	E88D8FD0E7EA7D01436FD3A6A324515CFE654560CD0A393BDF154956E165E2EE

Key	Value
FileSize	357370
MD5	55EC37BD84B4EFDF6073B100C7E305F6
PackageDescription	async 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.
PackageMaintainer	Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageName	python3-celery
PackageSection	python
PackageVersion	3.1.23-7
SHA-1	3E8FDAA59D1A8ECAA20F801654A3F346FD2EFADC
SHA-256	280C4BF9E45167AD13C764101AB9EC2A1045982C5A445DC099CF5A9979FBFEA6