spinach
celery
| spinach | celery | |
|---|---|---|
| 1 | 43 | |
| 63 | 23,666 | |
| - | 1.6% | |
| 6.0 | 9.5 | |
| 11 days ago | 5 days ago | |
| Python | Python | |
| BSD 2-clause "Simplified" License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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spinach
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Django Styleguide
Since everyone suggests alternatives to Celery, may I plug my own healthier celery?
https://github.com/NicolasLM/spinach
celery
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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)
What are some alternatives?
Django-Styleguide - Django styleguide used in HackSoft projects
dramatiq - A fast and reliable background task processing library for Python 3.
rapidpro - TextIt is a hosted service allowing organizations to visually build scalable interactive messaging applications.
Apache Kafka - Mirror of Apache Kafka
django-q2 - A multiprocessing distributed task queue for Django. Django Q2 is a fork of Django Q. Big thanks to Ilan Steemers for starting this project. Unfortunately, development has stalled since June 2021. Django Q2 is the new updated version of Django Q, with dependencies updates, docs updates and several bug fixes. Original repository: https://github.com/Koed00/django-q
huey - a little task queue for python
django-db-queue - Simple database-backed job queue
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
django-api-domains - A pragmatic styleguide for Django API Projects
rq - Simple job queues for Python
django-readers - A lightweight function-oriented toolkit for better organisation of business logic and efficient selection and projection of data in Django projects.
kombu - Messaging library for Python.