arq
think-async
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arq | think-async | |
---|---|---|
4 | 4 | |
1,864 | 222 | |
- | - | |
2.6 | 7.8 | |
about 1 month ago | about 2 months ago | |
Python | Python | |
MIT License | MIT License |
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arq
- The Many Problems with Celery
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I made a simple async queueing framework called SAQ! It includes a built in web UI to manage jobs.
I need to process a lot of long running IO heavy jobs with background workers. I've been using ARQ for a while but decided to take a crack at writing my own distributed queue.
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Boilerplates for integration services when you need to sync API resources or databases
Lately I've been writing asynchronous python code and yes, the resource integration problem has come again. Because now from version 1.4 SQLAlchemy has become asynchronous a new boilerplate was created. Now, as a scheduler, I took a completely asynchronous Arq. Considering the specifics of the service, long I/O operations, it seems that the service turned out to be more optimal in asynchronous execution. I haven't measured the performance yet, but I think I'll write another post about it.
think-async
We haven't tracked posts mentioning think-async yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
celery - Distributed Task Queue (development branch)
Joblib - Computing with Python functions.
aiomultiprocess - Take a modern Python codebase to the next level of performance.
saq - Simple Async Queues
celery-sqlalchemy-boilerplate - Boilerplate for services with Celery, SQLAlchemy, Docker, Alembic and Pytest
Flask-RQ2 - A Flask extension for RQ.
faust - Python Stream Processing. A Faust fork
SQLAlchemy - The Database Toolkit for Python
vermin - Concurrently detect the minimum Python versions needed to run code
gevent - Coroutine-based concurrency library for Python
arq-sqlalchemy-boilerplate
humanbenchmark - Memory tests solver with using OpenCV