pellet
django-seal
pellet | django-seal | |
---|---|---|
2 | 2 | |
75 | 238 | |
- | - | |
2.7 | 5.8 | |
5 months ago | 7 months ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | 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.
pellet
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Django 5.0 Is Released
Simple middleware can warn you about lazy loading/N+1 queries. Most of the time people just forget it happens.
Try using: https://github.com/har777/pellet
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Ban 1+N in Django
Self plug: Checkout https://github.com/har777/pellet to easily find and fix django N+1 issues.
I usually add it to existing integration tests so that they raise exceptions on N+1. If test coverage is low then I would suggest sending the N+1 metrics to something like datadog. That way your users using the product will reveal all the N+1 issues on your monitoring solution.
django-seal
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Ban 1+N in Django
If I understand it correctly, that's what [django-seal](https://github.com/charettes/django-seal) does.
- Requests per second 12 requests per second – Realistic Python web frameworks
What are some alternatives?
django-orm-plus
just - the only javascript runtime to hit no.1 on techempower :fire:
nplusone - Auto-detecting the n+1 queries problem in Python
comet - Modern PHP framework for building blazing fast REST APIs and microservices
django-auto-prefetching - Automatic prefetching for Django
django-zen-queries - Explicit control over database query execution in Django applications
bullet - help to kill N+1 queries and unused eager loading
Dapper - Dapper - a simple object mapper for .Net [Moved to: https://github.com/DapperLib/Dapper]
openapi-typescript - Generate TypeScript types from OpenAPI 3 specs
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production