celery
django-ninja
celery | django-ninja | |
---|---|---|
43 | 70 | |
23,550 | 6,235 | |
1.1% | - | |
9.5 | 9.0 | |
2 days ago | 6 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT 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.
celery
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Streaming responses to websockets with multiple LLMs, am I going about this wrong?
So this might be my understanding, but stuff like celery is more like an orchestrator that chunks up workloads (think Hadoop with multiple nodes).
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Examples of using task scheduler with Go?
In the Django world, you'd probably rely on Celery to do this for you. You're probably looking for something similar that works with Go. https://github.com/celery/celery
- SynchronousOnlyOperation from celery task using gevent execution pool on django orm
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FastAPI + Celery problem: Celery task is still getting exectued even though I'm raising an exception on task_prerun
I've been doing some research and there doesn't seem to be much information on this issue, aditionally there's this but without a fix yet or any workaround: https://github.com/celery/celery/issues/7792
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Taskiq: async celery alternative
RabbitMQ Classic mirror queues are very fragile to network partitioning. They are deprecated in favor of Quorum queues, but Celery doesn't support them yet : https://github.com/celery/celery/issues/6067
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Use Celery with any Django Storage as a Result Backend
The Celery package provides some number of (undocumented!) result backends to store task results in different local, network, and cloud storages. The django-celery-result package adds options to use Django-specific ORM-based result storage, as well as Django-specific cache subsystem.
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Django Styleguide
I spent 3 years building a high scale crawler on top of Celery.
I can't recommend it. We found many bugs in the more advanced features of Celery (like Canvas) we also ran into some really weird issues like tasks getting duplicated for no reason [1].
The most concerning problem is that the project was abandoned. The original creator is not working on it anymore and all issues that we raised were ignored. We had to fork the project and apply our own fixes to it. This was 4 years ago so maybe things improved since them.
Celery is also extremely complex.
I would recommend https://dramatiq.io/ instead.
[1]: https://github.com/celery/celery/issues/4426
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Processing input and letting user download the result
You can use celery to process the file for extraction, saving and creating rar/zip.
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RQ-Scheduler for tasks in far future?
Celery not usefull for long term future tasks (far future) · Issue #4522 · celery/celery (github.com)
django-ninja
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Ask HN: What Underrated Open Source Project Deserves More Recognition?
Django Ninja [1], it forever changed how I write Django project, in a way so elegant and productive.
[1]: https://django-ninja.dev/
- Django Ninja is a web framework for building APIs with Django
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UtilMeta Python Framework VS django-ninja - a user suggested alternative
2 projects | 3 Feb 2024
Django Ninja is a RESTful wrapper for Django, while UtilMeta Python Framework uses a more concise declarative ORM Schema for Django and other future-supporting ORMs like sqlachemy and Peewee to build RESTful APIs more efficiently, and supports not only Django but all Python mainstream frameworks like Django, Flask, Starlette, FastAPI, Sanic, Tornado, etc.
- Django Ninja
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Ask HN: What Python libraries do you wish more people knew about?
I can't recommend [django-ninja](https://github.com/vitalik/django-ninja) enough. It's an easy to use, extremely fast, typed API for django. I've found it to be better in almost all aspects when compared to djangorestframework.
It's gaining popularity but is still widely unknown.
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Building a Blog in Django
> The only place I really see Django at large companies is as an api using DRF or something.
This is not a bad thing. Using Django as an API backend is amazingly fast in terms of development time, especially with modern frameworks such as django-ninja [1].
Just use the built-in ORM to create models, write your endpoints, and use the built-in admin interface to play with the database if you don't have endpoints for everything.
There is also a less known feature of Django called admindocs [2], which automatically generates a human readable, hyperlinked documentation for your models and relations between them.
[1] https://django-ninja.rest-framework.com/
[2] https://docs.djangoproject.com/en/4.2/ref/contrib/admin/admi...
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Learning Django
Personally, I also prefer django-ninja to DRF.
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Why I chose django-ninja instead of django-rest-framework to build my project
Actually that's not fully true. If you mix async and sync codes in django-ninja there will be some errors. Where's the proof ? django-ninja doesn't support async auth
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Built This GPT-Powered Document Search and Question Answering App with Django
Subscribe to this issue :D
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Django 4.2 released
Also recommend Django-Ninja. It basically reimplements fastapi's type and decorator-based API construction, but embedded directly in django so you have access to django's ORM and middleware library.
What are some alternatives?
dramatiq - A fast and reliable background task processing library for Python 3.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
Apache Kafka - Mirror of Apache Kafka
django-rest-framework - Web APIs for Django. 🎸
huey - a little task queue for python
fastapi-admin - A fast admin dashboard based on FastAPI and TortoiseORM with tabler ui, inspired by Django admin
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
drf-spectacular - Sane and flexible OpenAPI 3 schema generation for Django REST framework.
rq - Simple job queues for Python
openapi-generator - OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
kombu - Messaging library for Python.
cookiecutter-django - Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.