machinery
celery
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| machinery | celery | |
|---|---|---|
| 14 | 43 | |
| 7,281 | 23,439 | |
| - | 1.4% | |
| 5.3 | 9.5 | |
| 11 days ago | 2 days ago | |
| Go | Python | |
| Mozilla Public License 2.0 | 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.
machinery
- Looking for library recommendations: Django -> Golang port
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Are there any actively maintained or official Golang libraries for managing work queues?
I've had this project starred for a while but haven't used it: https://github.com/RichardKnop/machinery
- Looking for a mature distributed task queuer/scheduler in go
- What would be a good message broker internal to my program?
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Golang task queue
I had a look at: 1. machinery - https://github.com/RichardKnop/machinery 2. go-celery - https://github.com/gocelery/gocelery 3. asynq - https://github.com/hibiken/asynq 3. taskq - https://github.com/vmihailenco/taskq
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is there any go library that allows running background tasks after a specified period of time?
you mean a scheduler? try RichardKnop/machinery or hibiken/asynq
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Using a High-Level RabbitMQ Client in Go
I use this one: https://github.com/RichardKnop/machinery
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Do you know of a robust library that handles persistent job scheduling and queuing using PostgreSQL
I’ve also used https://github.com/RichardKnop/machinery for for a few projects and it’s solid.
- Distributed asynchronous tasks?
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Any one knows a job worker project (like Celery) + distributed cron written in Go
Machinery is an asynchronous task queue/job queue based on distributed message passing.
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.
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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?
Asynq - Simple, reliable, and efficient distributed task queue in Go
dramatiq - A fast and reliable background task processing library for Python 3.
gocelery - Celery Distributed Task Queue in Go
Apache Kafka - Mirror of Apache Kafka
go-nsq - The official Go package for NSQ
huey - a little task queue for python
temporal - Temporal service
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
Confluent Kafka Golang Client - Confluent's Apache Kafka Golang client
rq - Simple job queues for Python
NATS - Golang client for NATS, the cloud native messaging system.
kombu - Messaging library for Python.