django-celery-results
Celery result back end with django (by celery)
celery
Distributed Task Queue (development branch) (by celery)
| django-celery-results | celery | |
|---|---|---|
| 4 | 43 | |
| 650 | 23,498 | |
| 0.8% | 0.8% | |
| 4.9 | 9.5 | |
| 8 days ago | 6 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
celery
Posts with mentions or reviews of celery.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-03.
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Streaming responses to websockets with multiple LLMs, am I going about this wrong?
So this might be my understanding, but stuff like celery is more like an orchestrator that chunks up workloads (think Hadoop with multiple nodes).
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Examples of using task scheduler with Go?
In the Django world, you'd probably rely on Celery to do this for you. You're probably looking for something similar that works with Go. https://github.com/celery/celery
- SynchronousOnlyOperation from celery task using gevent execution pool on django orm
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FastAPI + Celery problem: Celery task is still getting exectued even though I'm raising an exception on task_prerun
I've been doing some research and there doesn't seem to be much information on this issue, aditionally there's this but without a fix yet or any workaround: https://github.com/celery/celery/issues/7792
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Taskiq: async celery alternative
RabbitMQ Classic mirror queues are very fragile to network partitioning. They are deprecated in favor of Quorum queues, but Celery doesn't support them yet : https://github.com/celery/celery/issues/6067
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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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Django Styleguide
I spent 3 years building a high scale crawler on top of Celery.
I can't recommend it. We found many bugs in the more advanced features of Celery (like Canvas) we also ran into some really weird issues like tasks getting duplicated for no reason [1].
The most concerning problem is that the project was abandoned. The original creator is not working on it anymore and all issues that we raised were ignored. We had to fork the project and apply our own fixes to it. This was 4 years ago so maybe things improved since them.
Celery is also extremely complex.
I would recommend https://dramatiq.io/ instead.
[1]: https://github.com/celery/celery/issues/4426
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Processing input and letting user download the result
You can use celery to process the file for extraction, saving and creating rar/zip.
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RQ-Scheduler for tasks in far future?
Celery not usefull for long term future tasks (far future) · Issue #4522 · celery/celery (github.com)