APScheduler
rq
| APScheduler | rq | |
|---|---|---|
| 5 | 27 | |
| 5,728 | 9,523 | |
| - | 0.8% | |
| 9.0 | 8.6 | |
| 6 days ago | 4 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.
APScheduler
- Libs or advice on how to handle time in Django
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Question About Django Scheduled Tasks with APScheduler
Turns out I needed to use Background Scheduler (example) rather than BlockingScheduler. Also had to wrap the code to handle() method (required for subclasses of 'BaseCommand')...
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In the context of Python what is a Bob Job?
Maybe if your use case is “smallish” and doesn’t require the whole studio suite you could check out apscheduler for doing python “tasks” on a schedule and luigi to build pipelines.
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5 background scheduling libraries in Python you must know
APScheduler: https://github.com/agronholm/apscheduler
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Scheduling All Kinds of Recurring Jobs with Python
The most feature rich and powerful library for scheduling jobs of any kind in Python is definitely APScheduler, which stands for Advanced Python Scheduler.
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?
schedule - Python job scheduling for humans.
celery - Distributed Task Queue (development branch)
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
huey - a little task queue for python
django-schedule - A calendaring app for Django. It is now stable, Please feel free to use it now. Active development has been taken over by bartekgorny.
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
TaskFlow - A library to complete workflows/tasks in HA manner. Mirror of code maintained at opendev.org.
mrq - Mr. Queue - A distributed worker task queue in Python using Redis & gevent
Joblib - Computing with Python functions.
procrastinate - PostgreSQL-based Task Queue for Python
Spiff - A powerful workflow engine implemented in pure Python
Apache Kafka - Mirror of Apache Kafka