Grappelli
flower
Grappelli | flower | |
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- | 3 | |
3,598 | 6,169 | |
- | - | |
7.5 | 7.7 | |
5 days ago | 14 days ago | |
HTML | Python | |
BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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Grappelli
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Tracking mentions began in Dec 2020.
flower
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Scaling Celery to handle workflows and multiple queues
Use flower to monitor workers and tasks.
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Python Celery - high level overview(animated video)
Not sure what your criteria for good observability ist, but flower served me well enough for this in the last couple of years.
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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.
What are some alternatives?
django-suit - Modern theme for Django admin interface
django-xadmin - Drop-in replacement of Django admin comes with lots of goodies, fully extensible with plugin support, pretty UI based on Twitter Bootstrap.
django-jet - Modern responsive template for the Django admin interface with improved functionality. We are proud to announce completely new Jet. Please check out Live Demo
Celery-Kubernetes-Operator - An operator to manage celery clusters on Kubernetes (Work in Progress)
flask-admin - Simple and extensible administrative interface framework for Flask
Ajenti - Ajenti Core and stock plugins
rq-dashboard - Flask-based web front-end for monitoring RQ queues
django-jazzmin - Jazzy theme for Django
django-celery-results - Celery result back end with django