django-celery-results
Celery result back end with django (by celery)
flower
Real-time monitor and web admin for Celery distributed task queue (by mher)
django-celery-results | flower | |
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4 | 3 | |
650 | 6,169 | |
0.8% | - | |
4.9 | 7.7 | |
8 days ago | 14 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
django-celery-results
Posts with mentions or reviews of django-celery-results.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-07.
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Use Celery with any Django Storage as a Result Backend
The Celery package provides some number of (undocumented!) result backends to store task results in different local, network, and cloud storages. The django-celery-result package adds options to use Django-specific ORM-based result storage, as well as Django-specific cache subsystem.
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Processing input and letting user download the result
To keep track of task result
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Celery filter by periodic_task_name
The field is referenced in the docs here: https://github.com/celery/django-celery-results/blob/9b7deb464b0f3fa8c063a1cc70f9fc48829f9793/docs/includes/introduction.txt, and that appears to be accurate, but I don't have any experience with d-c-r personally so I can't really help much more. Hope you figure it out!
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Celery-Django-Results won't post Task results from Celery
Hello, I have been having issues with Django and sending the results of Celery workers. Celery works and produces the results and if I set the backend to the redis server, it works fine. The issue is that Django ORM is not registering the TaskResults. I have tried everything under the sun in regards to configuration and I am sure that it's not the issue. I have found this Github: https://github.com/celery/django-celery-results/issues/102
flower
Posts with mentions or reviews of flower.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-04.
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Scaling Celery to handle workflows and multiple queues
Use flower to monitor workers and tasks.
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Python Celery - high level overview(animated video)
Not sure what your criteria for good observability ist, but flower served me well enough for this in the last couple of years.
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Wondering if I should use Celery vs threads for what I want to do
From experience i would not use threads for this or any background jobs. I would use Celery or Flask-RQ2 to be your workers, you will also probably end up using them to run other tasks as you encounter the need for other jobs. They both use Redis as a broker and job store and you can use Redis for other things like caching and so many other useful features. I kind of like RQ2 more then Celery because its a little simpler but Celery has a lot more to offer, more features. RQ2 has rq-dashboard for monitoring jobs and Celery has Flower.
What are some alternatives?
When comparing django-celery-results and flower you can also consider the following projects:
django-celery-beat - Celery Periodic Tasks backed by the Django ORM
django-suit - Modern theme for Django admin interface