ArchestackBest of Vibe Coding: List on GitHub ↗ (opens in a new tab)

full-stack-fastapi-template vs full-stack-ai-agent-template

Two of the top projects in Backend and cloud templates, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.

11st of 16 in Backend and cloud templates

full-stack-fastapi-template

FastAPI and React starter with JWT auth, PostgreSQL and a generated API client

74 out of 100 GitHub ↗ (opens in a new tab)
#44th of 16 in Backend and cloud templates

full-stack-ai-agent-template

Project generator for FastAPI and Next.js apps with agents and RAG

55 out of 100 GitHub ↗ (opens in a new tab)

Verdict

full-stack-fastapi-template ranks higher, 74 to 55. Of the 5 score parts we measure for both, full-stack-fastapi-template leads on 3, full-stack-ai-agent-template on 1 and 1 is even.

  • Adoptionfull-stack-fastapi-template leads by 55 points, 95 to 40: a wide gap.
  • FreshnessEven at 100.
  • Maintenancefull-stack-fastapi-template leads by 5 points, 100 to 95.
  • Easy to runfull-stack-fastapi-template leads by 33 points, 33 to 0: a wide gap.
  • Agent-readyfull-stack-ai-agent-template leads by 55 points, 70 to 15: a wide gap.

Pick full-stack-fastapi-template if you are

Python developers starting a FastAPI and React web app

  • Auto-generated frontend client for the FastAPI API
  • Pytest backend tests and Playwright end-to-end tests, with GitHub Actions CI/CD

Pick full-stack-ai-agent-template if you are

Python teams scaffolding a full-stack agent product

  • Wizard and presets pick framework, vector store, auth and billing per project
  • Template upgrades merge into generated projects on a branch
full-stack-fastapi-template vs full-stack-ai-agent-template: score parts and facts
What we comparefull-stack-fastapi-templatefull-stack-ai-agent-template
Score parts, out of 100
Adoption95, widely used40, known
Freshness100, active100, active
Maintenance100, healthy95, healthy
Easy to run33, some setup0, hard
Agent-ready15, none70, partly
Facts from GitHub and the README
Stars46.1k2k
LicenseMIT (permissive)MIT (permissive)
Last commitOct 2026Oct 2026
Last releaseAug 2026Oct 2026
LanguageTypeScriptPython
DockerYesNo
GPUNot neededNot needed
arm64 or Apple SiliconNot statedNot stated

full-stack-fastapi-template

A GitHub template for a full-stack web app: a FastAPI backend using SQLModel and PostgreSQL, and a React/TypeScript frontend built with Vite, Tailwind CSS and shadcn/ui. The frontend is built into the backend and served on the same domain as the API. It includes JWT login, email password recovery, and Docker Compose with Traefik for self-hosting. It has no AI features built in.

Who it is for: Python developers starting a FastAPI and React web app

Strengths

  • Auto-generated frontend client for the FastAPI API
  • Pytest backend tests and Playwright end-to-end tests, with GitHub Actions CI/CD
  • Docker Compose with Traefik gives automatic HTTPS for self-hosting
  • Mailpit for local email testing and React Email templates

Weaknesses

  • No AI or model integration; it is a generic app scaffold
  • No billing or payments wired in
  • Authentication is JWT with email recovery only; no OAuth or social login listed
  • PostgreSQL only; other databases are not mentioned
  • TypeScript
  • Needs PostgreSQL, Docker Compose, Traefik, Mailpit
  • GitHub template
  • ⚠️ .env file committed
Repository on GitHub ↗ (opens in a new tab)

full-stack-ai-agent-template

CLI (pip install fastapi-fullstack) scaffolding a FastAPI backend and Next.js frontend via a wizard or presets, with Pydantic AI, Pydantic Deep Agents, LangChain, LangGraph or DeepAgents, RAG on Milvus, Qdrant, pgvector or Chroma, WebSocket chat, JWT, OAuth, admin, teams, Stripe billing, Celery, Docker and K8s. make bootstrap starts Postgres, migrations and a seeded admin; projects can pull template upgrades later.

Who it is for: Python teams scaffolding a full-stack agent product

Strengths

  • Wizard and presets pick framework, vector store, auth and billing per project
  • Template upgrades merge into generated projects on a branch
  • Chat UI renders tool calls, plans, subagents, charts and Python execution
  • 100% coverage badge and CI on the generator

Weaknesses

  • Generator, not a repo to fork; output size depends on options chosen
  • Seeds admin@example.com with a fixed password; rotate before exposing
  • Optional services (Milvus, Redis, Celery) raise the local footprint
  • Windows needs GNU Make or WSL2
  • Python, Pydantic AI, Pydantic Deep Agents, LangChain, LangGraph
  • Needs PostgreSQL, Redis (optional), Milvus, Qdrant, pgvector or ChromaDB (RAG), Stripe (billing), LLM provider API key
Documentation ↗ (opens in a new tab)Repository on GitHub ↗ (opens in a new tab)

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