Author: tayyaba

Django is built on Python, which means performance can be a concern for applications with extremely high throughput requirements compared to frameworks in languages like Go or Java.

While Django provides a migration system, managing complex database migrations can become cumbersome, especially for large applications with frequent changes.

While Django’s template engine is easy to use, it lacks some advanced features found in other templating engines, such as full programming logic, which can lead to limitations in complex UI designs.

Django has strong conventions and best practices, which can be restrictive for developers who prefer more flexibility in their architecture and design choices.

While Django has made strides in supporting asynchronous programming (especially with Django 3.1+), it is not as inherently designed for async tasks as some other frameworks like FastAPI or Node.js.

The abstraction layers and built-in features can introduce performance overhead, particularly in applications that require high speed or handle a large number of requests.

Django’s “batteries-included” approach can lead to a monolithic architecture, making it challenging to break applications into microservices or smaller, more manageable components.

For beginners, the combination of Django’s conventions and its many built-in features can be overwhelming, leading to a steeper learning curve compared to simpler frameworks.