celery
Asynq
celery | Asynq | |
---|---|---|
43 | 32 | |
23,498 | 8,648 | |
0.8% | - | |
9.5 | 7.0 | |
7 days ago | about 18 hours ago | |
Python | Go | |
BSD 3-clause "New" or "Revised" License | MIT License |
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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)
Asynq
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Looking for a language agnostic Go task queue with Redis
EDIT : I think the best for my case will be to use the asynq library with a custom js client, it's quite easy to implement (Detailed here)
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I have a web app that requires allowing users to schedule a recurring task at their own specified time/interval. How would you go about it?
Asynq does this pretty nicely https://github.com/hibiken/asynq/wiki/Periodic-Tasks
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Examples of using task scheduler with Go?
Asynq looks promising. Never used it myself. https://github.com/hibiken/asynq
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Recommendation for a selfhosted worker/task queue runner?
Never used it, but it appears to fit most of the criteria. https://github.com/hibiken/asynq
- How to run periodic tasks?
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What would you rewrite in Golang?
https://github.com/hibiken/asynq is pretty close
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Suggestions for CRON jobs queue tool
I tried it 2 months ago and it was not suitable for dynamic CRON job enqueue scheduling
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I’m looking for a suggestion for a queuing library
My current best option is AsynQ (https://github.com/hibiken/asynq but it uses redid and not Postgres for the db
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What is the best task queue?
Hi, I'm starting a new project that involves distributing task on different (and possibly distributed) workers in Golang. So I'm looking for the best task queue library to use; for now the ones I like are the following (in no particular order): - asynq - machinery - taskq
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Distributed queue(redis) go
Asynq might do what you need https://github.com/hibiken/asynq
What are some alternatives?
dramatiq - A fast and reliable background task processing library for Python 3.
machinery - Machinery is an asynchronous task queue/job queue based on distributed message passing.
Apache Kafka - Mirror of Apache Kafka
work - Process background jobs in Go
huey - a little task queue for python
Faktory - Language-agnostic persistent background job server
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
NATS - Golang client for NATS, the cloud native messaging system.
rq - Simple job queues for Python
temporal - Temporal service
kombu - Messaging library for Python.
nsq - A realtime distributed messaging platform