nsq
celery
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nsq | celery | |
---|---|---|
14 | 43 | |
24,561 | 23,498 | |
0.6% | 1.6% | |
6.3 | 9.5 | |
1 day ago | about 15 hours ago | |
Go | Python | |
MIT 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.
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.
nsq
- NSQ: Open-source realtime distributed messaging, billions of messages / day
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MQTT vs. Kafka: An IoT Advocate's Perspective
Interesting. What are you thoughts on NSQ?
https://github.com/nsqio/nsq
Was looking at it earlier today, but haven't ever tried it out.
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Any thoughts on using Redis to extend Go's channels across application / machine boundaries?
(G)NATS can do millions of messages per second and is the right tool for the job (either that or NSQ). Redis isn't even the fastest Redis protocol implementation, KeyDB significantly outperforms it.
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FileWave: Why we moved from ZeroMQ to NATS
Bit.ly's NSQ is also an excellent message queue option.
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Infinite loop pattern to poll for a queue in a REST server app
Queue consumers are interesting because there are many solutions for them, from using Redis and persisting the data in a data store - but for fast and scalable the approach I would take is something like SQS (as I advocate AWS even free tier) or NSQ for managing your own distributed producers and consumers.
- NSQ – A realtime distributed messaging platform
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What are pros and cons of Go?
distrubition server engine ( for example websocket server multi ws gateway and worker pool,nsq.io realtime message queue and so on)
- Nsq - A realtime distributed messaging platform
- Is there any conventionally accepted repo that is representative of well designed go code ?
- NSQ: A realtime distributed messaging platform
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?
NATS - Golang client for NATS, the cloud native messaging system.
dramatiq - A fast and reliable background task processing library for Python 3.
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
Apache Kafka - Mirror of Apache Kafka
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
huey - a little task queue for python
ZeroMQ - ZeroMQ core engine in C++, implements ZMTP/3.1
rq - Simple job queues for Python
etcd - Distributed reliable key-value store for the most critical data of a distributed system
kombu - Messaging library for Python.