In the Python web development landscape, when it comes to APIs, we often find ourselves at a crossroads: choose an "all-in-one" framework, such as those based on Django, or opt for lightweight and minimalist solutions like FastAPI, Flask, or Sanic. But what are the real differences between these worlds? And above all, how do you know which path is best for your project? This article aims to clarify these questions, comparing the four main Django-based alternatives— such as Django REST Framework, Django Ninja, and GraphQL—with the leaner and more modern frameworks, which have won over many developers thanks to their lightweight and flexibility. Whether you're a Django expert curious to explore new options, or a developer looking for leaner and more high-performance solutions, here you'll find a detailed overview and comparison that will help you navigate the sea of available choices. Using simple language and many practical examples, I'll guide you step by step on this journey to discover the architectures, performance, ecosystems, and use cases of each technology. Ready to discover which framework is right for you? Let's get started! If you're interested in the world of web and mobile development, subscribe to the channel and activate the bell to never miss upcoming content! https://www.youtube.com/@scrivocodice... You can follow our courses on the Udemy platform here: https://www.udemy.com/user/scrivocodice/ You can read what's explained in the video from our blog post: https://scrivocodice.it/scegliere-fra... Follow us on our channels: YouTube: https://www.youtube.com/@scrivocodice... Facebook: / 61559544457789 TikTok: / scrivocodice LinkedIn: / scrivo-codice-640796220 If you have any questions or encounter any problems during installation, leave a comment below and I'll be happy to help! P.S. If you really feel like it, please leave a comment explaining why: your support will be very helpful in improving future content. See you in the next video! 01:08 - Architecture and Philosophy 02:56 - Monolithic vs. Modular 03:39 - The Role of ORMs 04:29 - Performance 04:53 - Async Support and Impact on I/O Load 05:59 - Speed in High-Throughput Scenarios 06:31 - System Overhead 07:28 - Conclusions #Django #Python #API #RESTAPI #GraphQL #WebDevelopment #Backend #Programming