AI and Python's FastApi and DRF integration

AI and Python’s FastAPI & Django Rest Framework (DRF) Integration Integrating AI models with FastAPI or Django Rest Framework (DRF) can help you build scalable and high-performance APIs for AI-driven applications. Below is an overview of how these frameworks compare and how they can be integrated with AI models.AI and Python’s FastAPI & Django Rest Framework (DRF) Integration Integrating AI models with FastAPI or Django Rest Framework (DRF) can help you build scalable and high-performance APIs for AI-driven applications. Below is an overview of how these frameworks compare and how they can be integrated with AI models.

FastAPI vs. DRF for AI Applications

Feature	FastAPI	Django Rest Framework (DRF)
Speed	🚀 Fast (Async)	⏳ Slower (Sync by default)
Ease of Use	✅ Simple, less boilerplate	✅ Robust but more boilerplate
Best Use Case	ML/DL APIs, microservices	Traditional web apps with AI features
Async Support	✅ Yes	❌ No (Requires Celery for async tasks)
Performance	⚡ High-performance (Starlette-based)	🐌 Moderate performance
Dependency Injection	✅ Yes	❌ No
Swagger/OpenAPI	✅ Automatic	✅ Automatic