base.py
async task/job queue based on message passing (Python3 version)
Install
- All systems
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curl cmd.cat/base.py.sh
- Debian
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apt-get install python-cl - Ubuntu
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apt-get install python-cl - Arch Linux
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pacman -S python2-celery - Kali Linux
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apt-get install python-celery - Fedora
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dnf install python2-celery - Windows (WSL2)
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sudo apt-get updatesudo apt-get install python-cl - Raspbian
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apt-get install python-cl - Dockerfile
- dockerfile.run/base.py
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.
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-cl
Actor framework for Kombu
The aim of Kombu is to make messaging in Python as easy as possible by providing an idiomatic high-level interface for the AMQP protocol. It is meant to replace the carrot library by providing a compatibility layer. Features: * Allows application authors to support several message server solutions by using pluggable transports. * Supports automatic encoding, serialization and compression of message payloads. * The ability to ensure that an operation is performed by gracefully handling connection and channel errors.