arq
Fast job queuing and RPC in python with asyncio and redis. (by samuelcolvin)
celery-sqlalchemy-boilerplate
Boilerplate for services with Celery, SQLAlchemy, Docker, Alembic and Pytest (by kazqvaizer)
Our great sponsors
| arq | celery-sqlalchemy-boilerplate | |
|---|---|---|
| 4 | 1 | |
| 1,904 | 6 | |
| - | - | |
| 2.6 | 0.0 | |
| 7 days ago | about 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
arq
Posts with mentions or reviews of arq.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-22.
- Future Plan for Arq
- The Many Problems with Celery
-
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.
-
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.
celery-sqlalchemy-boilerplate
Posts with mentions or reviews of celery-sqlalchemy-boilerplate.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-22.
-
Boilerplates for integration services when you need to sync API resources or databases
- Boilerplate based on Celery https://github.com/kazqvaizer/celery-sqlalchemy-boilerplate
What are some alternatives?
When comparing arq and celery-sqlalchemy-boilerplate you can also consider the following projects:
celery - Distributed Task Queue (development branch)
SQLAlchemy - The Database Toolkit for Python
saq - Simple Async Queues
arq-sqlalchemy-boilerplate
faust - Python Stream Processing. A Faust fork
Flask-RQ2 - A Flask extension for RQ.
think-async - 🌿 Exploring cooperative concurrency primitives in Python
sdk-python - Temporal Python SDK
procrastinate - PostgreSQL-based Task Queue for Python
arq vs celery
celery-sqlalchemy-boilerplate vs SQLAlchemy
arq vs saq
celery-sqlalchemy-boilerplate vs arq-sqlalchemy-boilerplate
arq vs faust
celery-sqlalchemy-boilerplate vs celery
arq vs Flask-RQ2
arq vs SQLAlchemy
arq vs think-async
arq vs arq-sqlalchemy-boilerplate
arq vs sdk-python
arq vs procrastinate