django-celery
flower
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| django-celery | flower | |
|---|---|---|
| 3 | 3 | |
| 1,514 | 6,169 | |
| 0.0% | - | |
| 0.0 | 7.7 | |
| over 1 year ago | 9 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" 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.
django-celery
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3% of 666 Python codebases we checked had a silently failing unit test
https://github.com/ansible-community/ara/pull/358 https://github.com/b12io/orchestra/pull/830 https://github.com/batiste/django-page-cms/pull/210 https://github.com/carpentries/amy/pull/2130 https://github.com/celery/django-celery/pull/612 https://github.com/django-cms/django-cms/pull/7241 https://github.com/django-oscar/django-oscar/pull/3867 https://github.com/esrg-knights/Squire/pull/253https://github.com/Frojd/django-react-templatetags/pull/64 https://github.com/groveco/django-sql-explorer/pull/474 https://github.com/jazzband/django-silk/pull/550 https://github.com/keras-team/keras/pull/16073 https://github.com/ministryofjustice/cla_backend/pull/773 https://github.com/nitely/Spirit/pull/306 https://github.com/python/pythondotorg/pull/1987 https://github.com/rapidpro/rapidpro/pull/1610 https://github.com/ray-project/ray/pull/22396 https://github.com/saltstack/salt/pull/61647 https://github.com/Swiss-Polar-Institute/project-application/pull/483 https://github.com/UEWBot/dipvis/pull/216
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Database character sets and collations explained – why utf8 is not UTF-8
> they would now need to store max 4N bytes, which (with a high N) can exceed internal limits such as maximum length of an index key.
Specifically, indexes are limited to 767 bytes (some say 768?), which means 191 utf8mb4 characters. So your otherwise-innocuous VARCHAR(255) primary key breaks. I’ve seen this multiple times, e.g. django-celery probably still has this: https://github.com/celery/django-celery/issues/259.
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Django API Text Processing?!?
For small projects you'll be fine just doing it in the view. For bigger projects you would want to use a task scheduler like Celery and with django-celery to distribute the workload in the background.
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?
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
django-suit - Modern theme for Django admin interface
celery-progress - Drop in, configurable, dependency-free progress bars for your Django/Celery applications.
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
jasmin - Jasmin - Open source SMS gateway
Celery-Kubernetes-Operator - An operator to manage celery clusters on Kubernetes (Work in Progress)
django-silk - Silky smooth profiling for Django
flask-admin - Simple and extensible administrative interface framework for Flask
django-cms - The easy-to-use and developer-friendly enterprise CMS powered by Django
rq-dashboard - Flask-based web front-end for monitoring RQ queues
ara - ARA Records Ansible and makes it easier to understand and troubleshoot.
django-celery-results - Celery result back end with django