celery 4.1.0-2 source package in Ubuntu
Changelog
celery (4.1.0-2) unstable; urgency=low * Add python(3)-ephem to Depends to allow for solar based schedules. * Pick upstream patch to fix solar based scheduler. * Refresh patches. -- Michael Fladischer <email address hidden> Wed, 15 Nov 2017 14:58:01 +0100
Upload details
- Uploaded by:
- Debian Python Modules Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Python Modules Team
- Architectures:
- all
- Section:
- python
- Urgency:
- Low Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| celery_4.1.0-2.dsc | 2.7 KiB | 71f934cca6c5b3164f6db6ed9373c0cacaf5ddae305ac8df3fd4b19a5fc3033a |
| celery_4.1.0.orig.tar.gz | 1.3 MiB | 77ff3730198d6a17b3c1f05579ebe570b579efb35f6d7e13dba3b1368d068b35 |
| celery_4.1.0-2.debian.tar.xz | 22.3 KiB | dc89301b8a1e7c56dce6908da5a6364d0e93a0113f746c1fc0a84a5b372eaae0 |
No changes file available.
Binary packages built by this source
- python-celery: 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.
- python-celery-common: async task/job queue based on message passing (common files)
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 common files of the library.
- python-celery-doc: async 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.
- python3-celery: 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.
