flower
Grappelli
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flower | Grappelli | |
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3 | 0 | |
6,131 | 3,570 | |
- | - | |
7.7 | 7.1 | |
about 2 months ago | 16 days ago | |
Python | HTML | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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.
flower
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Scaling Celery to handle workflows and multiple queues
Use flower to monitor workers and tasks.
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Wondering if I should use Celery vs threads for what I want to do
From experience i would not use threads for this or any background jobs. I would use Celery or Flask-RQ2 to be your workers, you will also probably end up using them to run other tasks as you encounter the need for other jobs. They both use Redis as a broker and job store and you can use Redis for other things like caching and so many other useful features. I kind of like RQ2 more then Celery because its a little simpler but Celery has a lot more to offer, more features. RQ2 has rq-dashboard for monitoring jobs and Celery has Flower.
Grappelli
We haven't tracked posts mentioning Grappelli yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
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flask-admin - Simple and extensible administrative interface framework for Flask
Celery-Kubernetes-Operator - An operator to manage celery clusters on Kubernetes (Work in Progress)
rq-dashboard - Flask-based web front-end for monitoring RQ queues
django-celery-results - Celery result back end with django
Wooey - A Django app that creates automatic web UIs for Python scripts.
Ajenti - Ajenti Core and stock plugins