huey
python-patterns
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huey | python-patterns | |
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10 | 31 | |
4,890 | 39,375 | |
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6.6 | 0.0 | |
23 days ago | 19 days ago | |
Python | Python | |
MIT License | - |
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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
python-patterns
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Any good resource on design patterns with examples in Python?
GitHub: Collection of design patterns and idioms
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Top GitHub Resources to Level Up Your Python game
🎇 Repository Link: Python Patterns
- How to improve design
- How to design Python scripts for sensitivity analysis of portfolios?
- They still scare me
- Out of curiosity: what is the python project structure you usually go gor?
- For those of you in industry, are there any resources that discuss best practices and whatnot?
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100+ Must Know Github Repositories For Any Programmer
4. Python Patterns
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Python toolkits
Your post has so many good elements that I've saved them for study and prompted feedback about the applications in Natural Language Processing and ML in Finance/BioTech. Most of my work lately has been NLP analysis research so devops and other GOF software concepts in your repo https://github.com/faif/python-patterns has been challenging.
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[Free Resource] Python Design Patterns
GitHub: Collection of design patterns and idioms
What are some alternatives?
celery - Distributed Task Queue (development branch)
PyPattyrn - A simple library for implementing common design patterns.
rq - Simple job queues for Python
TheAlgorithms - All Algorithms implemented in Python
dramatiq - A fast and reliable background task processing library for Python 3.
sortedcontainers - Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
algorithms
mrq - Mr. Queue - A distributed worker task queue in Python using Redis & gevent
more-itertools - More routines for operating on iterables, beyond itertools
KQ - Kafka-based Job Queue for Python
python-ds - No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.