django-carrot | A lightweight task queue for Django using RabbitMQ | Pub Sub library
kandi X-RAY | django-carrot Summary
kandi X-RAY | django-carrot Summary
django-carrot is a Python library typically used in Messaging, Pub Sub, RabbitMQ applications. django-carrot has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install django-carrot' or download it from GitHub, PyPI.
A lightweight task queue for Django using RabbitMQ
A lightweight task queue for Django using RabbitMQ
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Quality
Security
License
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Support
django-carrot has a low active ecosystem.
It has 60 star(s) with 11 fork(s). There are 5 watchers for this library.
It had no major release in the last 12 months.
There are 6 open issues and 71 have been closed. On average issues are closed in 19 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of django-carrot is 1.5.0
Quality
django-carrot has no bugs reported.
Security
django-carrot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
django-carrot is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
django-carrot releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed django-carrot and discovered the below as its top functions. This is intended to give you an instant insight into django-carrot implemented functionality, and help decide if they suit your requirements.
- Handles carrot service
- Start consuming messages
- Add a task to the scheduler
- Terminate the scheduler
- Wrapper for views
- Wraps a class view
- Creates a mixin
- Creates a class view based on a decorator
- Decorate a function to log view function
- Apply decorators to a view
- Creates a function view
- Delete all published messages
- Purge messages from the queue
- Requeue all published messages
- Requeue all messages
- Start the connection
- Connect to the server
- Retry all tasks
- Return queryset of queryset
- Publish this message
- Return the consumer class
- Called when a channel is opened
- Stop running threads
- The virtual host of the queue
- Requeue the message
- Return a task function from properties
Get all kandi verified functions for this library.
django-carrot Key Features
No Key Features are available at this moment for django-carrot.
django-carrot Examples and Code Snippets
No Code Snippets are available at this moment for django-carrot.
Community Discussions
Trending Discussions on django-carrot
QUESTION
Migrations ends up inside virtual environment?
Asked 2018-May-04 at 08:22
I installed djang-carrot
package, added it to installed apps and ran python manage.py makemigrations
, but the migrations ended up inside the virtual environment... Why is that?
ANSWER
Answered 2018-May-04 at 05:06Inside settings.py
you can change the path of migrations directory
for each app, Try the following:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install django-carrot
You can install using 'pip install django-carrot' or download it from GitHub, PyPI.
You can use django-carrot like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use django-carrot like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
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