This repository is the official FastAPI full-stack template, providing a production-ready starter for full-stack web applications. It consists of a FastAPI backend (Python 3.14, SQLModel ORM, PostgreSQL, Alembic migrations) and a React frontend (TypeScript, Vite, TanStack Router/Query, Tailwind CSS, shadcn/ui). The template ships with complete authentication (JWT, password hashing with Argon2/Bcrypt, password recovery via email), user and item CRUD, role-based access control, and a responsive dashboard UI. Deployment is handled via Docker Compose with Traefik, and the project includes comprehensive CI/CD pipelines for testing (pytest, Playwright) and deployment (FastAPI Cloud or self-hosted). While it is a template, the code is structured for immediate extension and includes many reusable patterns such as generic CRUD utilities, email templates written in React Email, and auto-generated OpenAPI client code for the frontend. The repository is not a data research project; it is a pure application template with no data pipelines, notebooks, or ML components. It is actively maintained, with frequent commits and a strong community following.
This repository is a full-stack monorepo template for building SaaS applications using React 19, tRPC, and Cloudflare Workers. It features an edge-native architecture with three Workers (web router, app SPA, and API server) connected via service bindings. The template includes integrated authentication (Better Auth with email OTP, passkey, Google OAuth), multi-tenancy, Stripe billing, transactional emails (via Resend), file uploads to Cloudflare R2, and a Neon PostgreSQL database accessed through Drizzle ORM with Hyperdrive connection pooling. Key components include a reusable shadcn/ui component library, a typed WebSocket protocol package, and isolated database testing utilities.
Magic Resume is a production-oriented, bilingual resume-builder web application. Users manage resume documents in a dashboard, edit them in a multi-panel workbench with a live A4 preview, choose among nine templates, and export to PDF, PNG, JSON, or Markdown. The editor supports rich text, structured sections, custom themes, typography controls, and automatic one-page scaling. Resume data is local-first, persisted to localStorage and optionally synced to the local file system via the File System Access API. Under the hood, it is a React/TypeScript full-stack app with a somewhat unusual dual route-tree structure: an older Next.js App Router layout coexists with a newer TanStack Router source tree. State is managed with Zustand, UI uses Tailwind CSS and shadcn-style components, and rich text editing is built on Tiptap. AI features—streaming text polish, grammar checking, and vision-based PDF import—run through server routes that abstract OpenAI, Gemini, Anthropic, DeepSeek, Qwen, and Doubao behind a common transport with retries and SSE streaming. Export paths include a server-side PDF renderer, client-side html2canvas/jsPDF, browser print, JSON, and Markdown. The codebase is feature-rich and actively maintained, with some solid server-side AI abstractions and a meaningful test suite. However, it carries structural debt: near-identical section components are duplicated across nine templates, the old Next.js route tree remains alongside the newer TanStack routes, and AI model IDs/configurations are speculative and likely to age. It is deployable to Cloudflare Workers, Node, or Docker, but the architecture is hybrid and transitional rather than cleanly unified.