schedule VS huey

Thank you for your insight!

I asked about it to the dev if you're interested, by the way. No replies yet though, since the lib isn't very active to begin with.

https://github.com/dbader/schedule/issues/614

similar to this this library in python3

schedule

https://github.com/dbader/schedule should do the trick with running periodically.

https://github.com/dbader/schedule might help as well

Python provides two different modules, sched and concurrent.futures and it is in the hands of the user to implement the ScheduledThreadPoolExecutor. Though there are packages that provide scheduling in Python, there is no implementation as close to the one provided by Java. So, I’ve implemented the same with the APIs to closely resemble the ones in Java.

You can use the Schedule package

You could look into using cron (a UNIX utility you can use to run commands on a schedule) or schedule, which I don't have a ton of experience with but which is pretty popular and well supported.

I need to run a certain task periodically on my Flask application. I decided to use a simple library - Schedule (https://github.com/dbader/schedule) for doing this. I am running the task scheduler on a separate thread from the main application thread. Here's the relevant code snippet.

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/

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.

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

huey – a little task queue for python

Huey -> Same again?

Huey: https://github.com/coleifer/huey

I just want to add that a couple celery alternatives worth looking at include huey and dramatiq.

huey

same, I ran into an issue cos of django-background-tasks. I am thinking to replace it with huey