kerground
django-cacheops
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kerground | django-cacheops | |
---|---|---|
4 | 7 | |
2 | 2,028 | |
- | - | |
2.7 | 5.2 | |
about 1 year ago | about 1 month ago | |
Python | Python | |
MIT License | 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.
kerground
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Alternative for Django Celery.
Dramatiq or RQ are good alternatives. If you want to something really simple I haven't testing it in production try this: https://github.com/ClimenteA/kerground
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Sunday Daily Thread: What's everyone working on this week?
Working on a task queue (more simple than RQ): https://github.com/ClimenteA/kerground
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Django Caching
You can get away using functools cache/lru_cache. Also, for background jobs checkout https://github.com/ClimenteA/kerground
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Kerground - background worker for Python
Check kerground repo here. If you feel uninspired of what side-project to pick-up next, I accept any working contributions.
django-cacheops
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Ban 1+N in Django
Here is an example of such thing https://github.com/Suor/django-cacheops/blob/8b3a79de29b2545...
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Storing frequently used data in django
django-cacheops is a great package https://github.com/Suor/django-cacheops
- Django Permission queries are the ones taking the longest to run. Is that normal?
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Django 4.0 will include a built-in Redis cache back end
Nuts, I was hoping that this was an evolution of https://github.com/Suor/django-cacheops which uses Redis to cache and invalidate ORM result sets by an abstracted representation of filter values. It works, but has a lot of magic (as is the Django way) and takes some tending-to in production.
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Django Caching
i came across this and this i am failing to understand what is the difference between the two and which is better.
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Best way to implement direct messaging on my site?
The solution I recommend is setting up the caching backend using like redis then bringing in this awesome project django-cacheops! Takes 5 minutes to set up (literally) and you’re done!
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Shooting yourself in a foot with django and recovering from it (speeding up the API 200x)
We use django cacheops with redis and its incredible!
What are some alternatives?
nagios-plugins - 450+ AWS, Hadoop, Cloud, Kafka, Docker, Elasticsearch, RabbitMQ, Redis, HBase, Solr, Cassandra, ZooKeeper, HDFS, Yarn, Hive, Presto, Drill, Impala, Consul, Spark, Jenkins, Travis CI, Git, MySQL, Linux, DNS, Whois, SSL Certs, Yum Security Updates, Kubernetes, Cloudera etc...
django-cache-machine - Automatic caching and invalidation for Django models through the ORM.
visual-chatbot - :cloud: :eyes: :speech_balloon: Visual Chatbot
dogpile.cache
programming-challenges - Algorithms I programmed, mainly challenges from leetcode.com or just small projects I have made myself. Showcases my history learning to program.
johnny-cache - johnny cache django caching framework
celery-exporter - A Prometheus exporter for Celery metrics
Beaker - WSGI middleware for sessions and caching
COVID19-Vaccine-Spotter-Extension-Python - This is an extension of vaccine spotter I use there api with a combination of twilo and python to monitor vaccine appointments and send texts
cachetools - Extensible memoizing collections and decorators
django-rq - A simple app that provides django integration for RQ (Redis Queue)
HermesCache