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Backend

FastAPI

Modern Python APIs with automatic validation, async speed, and self-generating documentation.

Overview

FastAPI is the modern Python framework for building APIs, built on standard Python type hints. Declare your request and response models once, and FastAPI delivers validation, serialization, and interactive OpenAPI documentation automatically.

Its async-first design makes it one of the fastest Python frameworks available — and its Python foundation makes it the natural API layer for AI and data products, sitting directly beside the ML ecosystem.

Key features

  • Automatic request validation from type hints
  • Self-generating OpenAPI / Swagger docs
  • Async/await support end to end
  • Pydantic models for data contracts
  • Dependency injection system
  • WebSocket and background task support
Advantages

Why FastAPI is a strong choice

Among the fastest Python frameworks

Documentation is always in sync with code

Dramatically fewer validation bugs

Perfect bridge to Python's AI/ML ecosystem

Concise code — small teams ship quickly

Use cases

Where we deploy FastAPI

AI and LLM application backends

Data and analytics APIs

Machine-learning model serving

High-performance microservices

Internal tool backends

Our take

Why Kive uses FastAPI

FastAPI is our standard for AI-adjacent backends. When a product calls OpenAI, Claude, or in-house models, keeping the API layer in Python removes a language boundary — and its typed contracts match the rigor of our TypeScript services.

Architecture

How we build with FastAPI

fastapi architecture
FAQ

FastAPI questions

FastAPI for API-first and AI services; Django when you want a full framework with ORM, admin, and batteries included for content-heavy apps.

Same category

More backend technologies

Let's build with FastAPI

Tell us where you want to go. We'll bring the engineering, design, and delivery discipline to get you there.