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| saq | rq | |
|---|---|---|
| 7 | 27 | |
| 373 | 9,518 | |
| - | 1.2% | |
| 7.7 | 8.3 | |
| 16 days ago | 8 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
saq
- Litestar – powerful, flexible, and highly performant Python ASGI framework
- The Many Problems with Celery
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Sidewinder: open source Django starter kit that focuses on good defaults, developer experience, and deployment
Yet another async task queue, it's pretty fast and it's not celery: https://github.com/tobymao/saq
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Celery in production: Three more years of fixing bugs
I wrote an extremely performant and simple async worker framework called SAQ because I couldn't find any that fit my use case.
https://github.com/tobymao/saq
- I made a simple async queueing framework called SAQ! It includes a built in web UI to manage jobs.
- Show HN: SAQ – Simple Async Queues in Python based on Redis (includes a web UI)
- SAQ (Simple Async Queues) - A distributed async python queuing framework based on Redis with a web UI
rq
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Redis Re-Implemented with SQLite
That's pretty cool. Reckon it would work with existing code that calls Redis over the wire for RQ?
https://python-rq.org -
The Many Problems with Celery
https://github.com/rq/rq is to the rescue.
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Keep the Monolith, but Split the Workloads
We use RQ[0], it has Redis as a dependency. It’s pretty straightforward and we’re very happy with it. If you are using Django you may want to look at Django RQ[1] as well. RQ has built in scheduling capabilities these days, but historically it did not so we used (and still use) RQ Scheduler[2] which I think still has some advantages over the built in stuff.
[0] https://python-rq.org/
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SQL Maxis: Why We Ditched RabbitMQ and Replaced It with a Postgres Queue
Also had a similar experience using RabbitMQ with Django+Celery. Extremely complicated and workers/queues would just stop for no reason.
Moved to Python-RQ [1] + Redis and been rock solid for years now.
[1] https://python-rq.org/
- Ask HN: Redis Queue Hacks and Questions
- What libraries do you use the most alongside django?
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Recommendations other than celery to send an API processing in background, which would only take 5 mins to process and API usage would be once a month or so.
Yep, rq is simple and good: https://python-rq.org/ It also has a Django wrapper: https://github.com/rq/django-rq
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GPU instance crashes when two python processes use the same pt file
We have a GPU (G5) instance that uses Python RQ (https://python-rq.org/).
- Dynamically update periodic tasks in Celery and Django
- Celery + RabbitMQ alternatives
What are some alternatives?
arq - Fast job queuing and RPC in python with asyncio and redis.
celery - Distributed Task Queue (development branch)
huey - a little task queue for python
blazingmq-sdk-python - Python SDK for BlazingMQ, a modern high-performance open source message queuing system.
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
redis-pydict - A python dictionary that uses Redis as in-memory storage backend to facilitate distributed computing applications development.
mrq - Mr. Queue - A distributed worker task queue in Python using Redis & gevent
sdk-python - Temporal Python SDK
procrastinate - PostgreSQL-based Task Queue for Python
Apache Kafka - Mirror of Apache Kafka
Flask-RQ2 - A Flask extension for RQ.