Technology / FastAPI
FastAPI Development
FastAPI is a modern, high-performance Python framework purpose-built for APIs, with automatic validation and documentation generation.
Why We Use It
FastAPI's speed and native async support make it a strong fit for AI services and APIs that need to handle concurrent requests efficiently, with less boilerplate than older frameworks.
Our Expertise
We use FastAPI for AI service layers and API-first backends where performance and clear API contracts matter most.
Use Cases
Typical Use Cases
AI Service Endpoints
Exposing model inference and AI pipelines as fast, documented endpoints.
High-Throughput APIs
APIs handling concurrent requests with async processing.
Microservices
Lightweight, independently deployable services within a larger system.
How It Fits Our Architecture
FastAPI typically serves as the API layer for AI-adjacent systems, with automatic OpenAPI documentation, backed by PostgreSQL and deployed in Docker containers.
Related
Related Services
Related Technologies
FAQ
Frequently Asked Questions
FastAPI is generally leaner and faster for API-only workloads, since it does not carry Django's full-framework overhead — Django remains a better fit when you also need its built-in admin and ORM conventions.
Yes — interactive OpenAPI documentation is generated automatically from the code, which keeps documentation accurate as the API evolves.
Yes — its async support handles concurrent AI inference requests efficiently, which is a common reason we choose it for AI service layers.