The best FastAPI boilerplates and starter kits, compared honestly.
"Best FastAPI boilerplate" means different things depending on what you're building. A general-purpose SaaS API has different needs than an AI product that calls LLMs and runs RAG pipelines. Here's an honest breakdown of the main options, including where each one is genuinely the better choice.
#1FastAPI AI Kit
This kitA paid, AI-specific FastAPI boilerplate: JWT + API key auth, a unified LLM abstraction (OpenAI/Anthropic), a RAG pipeline (pgvector/Qdrant), Stripe usage metering, and background jobs.
Pros
- LLM integration, RAG, and token billing are pre-wired, not left for you to build
- One-time $69 cost with lifetime updates via private GitHub repo
- Deploy guides for Railway, Render, Fly.io, and bare VPS
Cons
- Not a fit if your API has nothing to do with LLMs or AI features
- No included frontend — it's an API-only backend
- All sales are final — evaluate the docs/features carefully before buying
Best for: Teams building an AI/LLM-powered product who want the AI-specific plumbing done.
#2tiangolo's Full Stack FastAPI Template
The official-adjacent, free, open-source template maintained in the FastAPI project's orbit. Includes a FastAPI backend, a React frontend, PostgreSQL, and Docker Compose — general-purpose, not AI-specific.
Pros
- Free and actively maintained, with strong community trust
- Includes a full frontend (React) alongside the backend
- Good general project structure and Docker setup
Cons
- No LLM integration, RAG, or token billing — general-purpose only
- You'll build all AI-specific infrastructure yourself
- Frontend stack may not match what you actually want to use
Best for: General-purpose APIs and teams who want a free, community-standard starting point.
#3Generic community cookiecutters
Numerous free FastAPI cookiecutter templates exist on GitHub with varying quality — typically covering project structure, basic auth, and Docker, with wide variance in maintenance activity.
Pros
- Free, and there's a lot of variety to choose from
- Good for learning FastAPI project conventions
Cons
- Maintenance quality varies wildly — check last commit date before relying on one
- No AI-specific features in any of the general ones
- You're responsible for evaluating whether the template's conventions match your needs
Best for: Learning, prototyping, or teams comfortable auditing a free template before building on it.
Our take
If your product's core value is an LLM or RAG feature, the AI-specific plumbing (FastAPI AI Kit provides this) will end up as the majority of your early engineering time regardless of which general-purpose template you start from. If your API has nothing to do with AI, tiangolo's free template or a well-maintained cookiecutter is the more sensible choice.
If FastAPI AI Kit fits your use case
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