django-rq
flower
django-rq | flower | |
---|---|---|
15 | 3 | |
1,769 | 6,177 | |
0.9% | - | |
7.1 | 7.7 | |
8 days ago | 8 days ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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django-rq
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Background jobs with Django
For simple stuff, I tend to use https://github.com/rq/django-rq. Although scheduling tasks there does not work well in my experience. If I need something to run by schedule, than better just plain cron.
- Keep the Monolith, but Split the Workloads
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django-rq VS django-q2 - a user suggested alternative
2 projects | 21 Mar 2023
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How We Built an Application to Test Student Docker Images for Database Systems University Course
Performing tests on student images can be a time-consuming process, taking several minutes. Application has to download the image from the registry, create a container, wait for the application to load, and perform the test scenarios. To efficiently utilize the available hardware and handle increased server demand during peak times, a task queue was implemented using django-rq.
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Recommendations other than celery to send an API processing in background, which would only take 5 mins to process and API usage would be once a month or so.
Yep, rq is simple and good: https://python-rq.org/ It also has a Django wrapper: https://github.com/rq/django-rq
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Alternative for Django Celery.
I use RQ (Redis Queue) and it's very cool! https://github.com/rq/django-rq https://python-rq.org/patterns/django/
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Show HN: Chard – simple async/await background tasks for Django
I love the simplicity of this idea because for lots of sites the database works just fine as a queue backend and it reduces the amount of infrastructure needed. I currently use https://github.com/dabapps/django-db-queue for devmarks.io which also uses the database to store tasks instead of a dedicated queue infrastructure. `Django Q` also has an option to use the database, but I haven't tested it at all: https://django-q.readthedocs.io/en/latest/configure.html#orm. And if you are already running `redis` for your site, https://github.com/rq/django-rq is another option.
The one benefit of this package is that it is async-first which will be beneficial as Django continually adds in more async capabilities. Nice work! I'm looking forward to trying this out and seeing how it works!
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Simple Task Queue system that works with Django 4 / Python 3.9?
https://github.com/rq/django-rq if you already have redis available or https://github.com/dabapps/django-db-queue for something even simpler. I’ve used both and vastly prefer them over celery.
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Celery Alternative for Django - Huey | Idiomatic Programmers
if you use redis there is https://github.com/rq/django-rq as well
- How do you guys automate emails with django?
flower
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Scaling Celery to handle workflows and multiple queues
Use flower to monitor workers and tasks.
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Python Celery - high level overview(animated video)
Not sure what your criteria for good observability ist, but flower served me well enough for this in the last couple of years.
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Wondering if I should use Celery vs threads for what I want to do
From experience i would not use threads for this or any background jobs. I would use Celery or Flask-RQ2 to be your workers, you will also probably end up using them to run other tasks as you encounter the need for other jobs. They both use Redis as a broker and job store and you can use Redis for other things like caching and so many other useful features. I kind of like RQ2 more then Celery because its a little simpler but Celery has a lot more to offer, more features. RQ2 has rq-dashboard for monitoring jobs and Celery has Flower.
What are some alternatives?
celery - Distributed Task Queue (development branch)
django-suit - Modern theme for Django admin interface
rq-scheduler - A lightweight library that adds job scheduling capabilities to RQ (Redis Queue)
django-jet - Modern responsive template for the Django admin interface with improved functionality. We are proud to announce completely new Jet. Please check out Live Demo
rq - Simple job queues for Python
Celery-Kubernetes-Operator - An operator to manage celery clusters on Kubernetes (Work in Progress)
django-q - A multiprocessing distributed task queue for Django
flask-admin - Simple and extensible administrative interface framework for Flask
django-background-tasks - A database-backed work queue for Django
rq-dashboard - Flask-based web front-end for monitoring RQ queues
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
django-celery-results - Celery result back end with django