huey
django-upgrade
Our great sponsors
huey | django-upgrade | |
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10 | 10 | |
4,890 | 880 | |
- | - | |
6.6 | 8.4 | |
23 days ago | 11 days ago | |
Python | Python | |
MIT License | MIT License |
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.
huey
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Nextflow: Data-Driven Computational Pipelines
I've considered using Nextflow for bioinformatics pipelines but have yet to take the plunge. At work, I develop a proteomics pipeline that is composed of huey¹ tasks (Python library; simple alternative to Celery) which either use subprocess to call out to some external tool, or are just pure python. It runs in a worker container which is created by docker swarm, and all containers pull jobs from redis. For our scale, it works great. However, I don't have control over the resource utilization of individual steps, and in the past I've had issues with the pipeline blocking as a result of how I was chaining tasks together. I think something like Nextflow would remove these limitations, but one thing I think I would miss is the ability to debug individual pipeline steps locally with an interactive debugger. As far as I can tell, Nextflow has logging/tracing facilities but nothing quite like an interactive debugger. I'd be happy to be told I'm wrong, or even that I'm doing it wrong.
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¹ https://github.com/coleifer/huey/
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Background jobs with Django
Other options are DjangoQ and Huey, which tend to work ok. Of the two I prefer DjangoQ. Database backed, don't require the Redis/Celery rigmarole.
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What's the best thing you've learned about Django this year?
Funny, just this moment i finally switched from Celery to huey. And so far I don't regret. huey looks very promising, has good documentation and is well integrated into DJango. You should give it a try: https://github.com/coleifer/huey
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This Week in Python
huey – a little task queue for python
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What is your favourite task queuing framework?
Huey -> Same again?
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5 background scheduling libraries in Python you must know
Huey: https://github.com/coleifer/huey
- Celery in production: Three more years of fixing bugs
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Not sure if I should use celery or asyncio
I just want to add that a couple celery alternatives worth looking at include huey and dramatiq.
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What is the best option for a (Python 3) task queue on Windows now that Celery 4 has dropped Windows support?
huey
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Django 4.0 released
same, I ran into an issue cos of django-background-tasks. I am thinking to replace it with huey
django-upgrade
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Upgrade your Django project fast with Django-upgrade [video]
30% of Django developers upgrade every LTS release[1]. As Django 3.2 runs out of support in April this year[2], it's worth celebrating Adam Johnson's package django-upgrade (https://github.com/adamchainz/django-upgrade) which has a set of fixers to automatically update your Django code to the version of your choice.
Curious if anyone has used 2to3 (https://docs.python.org/3/library/2to3.html) for upgrading Python code and can share their experience with it? Would you recommend?
1. https://lp.jetbrains.com/django-developer-survey-2022/
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Are there any good resources for taking a Django application from python 2.7 to 3
Take a look at https://github.com/adamchainz/django-upgrade
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Django Upgrading from 3.2 to 4.1
I had easy and quick upgrade from 3.2 to 4.1 using django-upgrade package. Project was pretty big, and I didn’t expect to be that easy to migrate to 4.1.
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Looking for tips on upgrading django to 4.1 from 3.x version
Regarding the actual Django upgrade you might want to take a look at Django Upgrade https://github.com/adamchainz/django-upgrade - a tool to automate some of the boring tedious stuff in an upgrade.
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Django upgrade services?
Running https://github.com/adamchainz/django-upgrade with https://github.com/asottile/pyupgrade recursively will give an idea about how much work is there on Django side. Still, there may have dependency on third party libraries (both django+python). Another thing to consider is which role Django performing here, serving APIs or html views. As good test coverage is already there, you are on lucky side.
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Django 4.0 released
I recently upgraded one of my project to Django v4, from Django v1. The changes from Django 3 to 4 were fairly simple, just one line change in my case. The change log is extremely detailed, it was easy to upgrade. Also, I found a tool called django-upgrade which makes some changes automatically, rest I made manually.
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Any advice for migrating a production system from Django 2.2 to 3.x? Specific issues to watch out for, etc.
Adam Johnson has written a nifty tool (https://github.com/adamchainz/django-upgrade) that can automatically do this for you. Even if you don't want to use the tool, the README generally outlines all the key issues you need to be aware of.
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Django 4.0 will include a built-in Redis cache back end
You should try the new [django-upgrade](https://github.com/adamchainz/django-upgrade) package. It claims you can either just run it or hook it into your CI. It will automatically take care of some of the heavy lifting for you.
What are some alternatives?
celery - Distributed Task Queue (development branch)
django-redis - Full featured redis cache backend for Django.
rq - Simple job queues for Python
pyupgrade - A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language.
dramatiq - A fast and reliable background task processing library for Python 3.
django-cacheops - A slick ORM cache with automatic granular event-driven invalidation.
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
Django - The Web framework for perfectionists with deadlines.
mrq - Mr. Queue - A distributed worker task queue in Python using Redis & gevent
django-rest-framework - Web APIs for Django. 🎸
KQ - Kafka-based Job Queue for Python
react-static - ⚛️ 🚀 A progressive static site generator for React.