celery 2.4.6-1 source package in Ubuntu
Changelog
celery (2.4.6-1) unstable; urgency=low
* New upstream release.
Fixes: CVE-2011-4356
* Update copyright to 2012.
-- Michael Fladischer <email address hidden> Mon, 02 Jan 2012 12:45:47 +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 | |
|---|---|---|---|---|
| Precise | release | universe | python |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| celery_2.4.6-1.dsc | 1.8 KiB | 0670cca8b83d058f5056f29a313c503c7b23456e39621858c45eed0ece5c8e9e |
| celery_2.4.6.orig.tar.gz | 871.5 KiB | 59d2c8067bb10d6558e524131e38d5c7684fba0211dbd58229bc73f16334f0b4 |
| celery_2.4.6-1.debian.tar.gz | 9.0 KiB | 9322fb9e412cb1b1d967e62a1e1177125b512bcca18d24c9e8b54dbfa8fad81a |
No changes file available.
Binary packages built by this source
- python-celery: 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.
- 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.
