zhanymkanov/fastapi-best-practices resource

Health v2 · maintenance only

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17965 stars · 1314 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

An opinionated guide to FastAPI best practices and conventions distilled from production experience at startups. It covers project structure, async routing, Pydantic usage, dependency injection, database conventions, and testing patterns.

Use cases

• structure a large FastAPI monolith project
• learn FastAPI best practices for production
• organize routers, schemas, and models in FastAPI
• decide between async and sync routes in FastAPI
• set up Pydantic and dependency injection conventions
• configure Alembic migrations and DB naming conventions
• get machine-readable FastAPI guidelines for AI coding agents

When to choose

• you are starting or scaling a FastAPI codebase and want battle-tested conventions
• you need a scalable domain-based project structure for a monolith
• you want a checklist of common FastAPI pitfalls and anti-patterns

When to avoid

• you need runnable code or a starter template rather than a written guide
• you use a different Python web framework like Django or Flask
• you want an authoritative or official reference rather than one team's opinionated conventions

Facets

learning-resource · maturity active

web-framework documentation web-development backend developer-tools tutorials python fastapi best-practices project-structure pydantic async conventions api-design

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