This repository is a reverse-proxy that translates ChatGPT's proprietary web API into OpenAI-compatible REST endpoints, enabling standard OpenAI SDK clients to generate images, edit images, have chat conversations, and search using ChatGPT's backend. It manages a pool of ChatGPT accounts, handles token refresh, proxy rotation, Cloudflare clearance (FlareSolverr, WARP), and provides a Next.js web dashboard for account management, image generation, settings, and backup. The backend is built with FastAPI and uses curl_cffi for HTTP impersonation, while the frontend is a modern React application with shadcn/ui components. The architecture is modular: protocol adapters in `services/protocol/` convert between OpenAI/Anthropic formats and ChatGPT's internal API, storage backends (JSON, SQLite, PostgreSQL, Git) abstract persistence, and services handle account lifecycle, image processing, and proxy configuration. The system is designed for self-hosted deployment via Docker Compose and supports advanced features like content filtering, chat completion caching, and editable file generation (PPT/PSD). Despite its strong engineering and active maintenance, the codebase is heavily dependent on reverse-engineering of ChatGPT's private API, making it fragile to upstream changes. The large single-file `OpenAIBackendAPI` class and limited test coverage are areas of concern, but the separation of concerns in storage, protocol, and service layers offers good reusability.
Jitsu is an open-source event data platform (alternative to Segment) that ingests events from websites, apps, and servers, transforms them via user-defined functions (UDFs) and built-in destination functions, and delivers them to data warehouses (ClickHouse, BigQuery, Snowflake, Redshift, Postgres, S3, GCS) and SaaS tools (Amplitude, PostHog, HubSpot, etc.). The architecture is multi-service: a Go-based bulker handles ingestion and warehouse delivery, a TypeScript-based rotor executes event transformations and profile building, a Next.js console provides the management UI and API, and a CLI tool supports project management and function deployment. The data flow is: HTTP ingest → Kafka → rotor (functions) → bulker (SQL/file destinations) → ClickHouse/PostgreSQL for metrics and logs. External dependencies include Kafka, PostgreSQL, ClickHouse, Redis, MongoDB, and Google Cloud Storage. The console supports multi-tenant workspaces, authentication (Firebase, OIDC, NextAuth), billing, audit logging, rate limiting, and an MCP server for AI tool integration. The codebase is a monorepo with pnpm workspaces and Go modules, featuring extensive test suites (unit, integration with testcontainers, e2e) and CI/CD pipelines. It demonstrates strong engineering practices with reusable libraries (juava, jitsubase), custom high-performance JSON parsers, and well-abstracted repository and configuration patterns. However, there is some technical drift: duplicate JSON libraries (jsoniter and jsonorder), commented-out code, and ESLint disable comments in admin routes. Overall, it is a mature, actively maintained platform suitable for production use.
YAS (Yet Another Shop) is a production-grade, open-source e-commerce platform implemented as a microservices architecture using Java Spring Boot for the backend and Next.js for the frontend (both storefront and admin backoffice). The system is decomposed into ~15 independent microservices (product, cart, order, customer, inventory, payment, promotion, rating, tax, location, media, search, webhook, recommendation, and sample data) that communicate via REST with resilience4j circuit breakers/retries and event-driven patterns using Kafka and Debezium CDC for cross-service data synchronization (e.g., product changes propagate to Elasticsearch for search and PgVector for recommendation). Authentication and authorization are handled via Keycloak with OAuth2/JWT. The architecture includes BFF (Backend For Frontend) gateways using Spring Cloud Gateway and two Next.js frontends. Infrastructure is fully containerized with Docker Compose and Kubernetes Helm charts, with observability via OpenTelemetry, Grafana, Loki, and Tempo. The codebase includes comprehensive unit/integration tests, UI automation tests (Selenium/Cucumber), and CI/CD pipelines per service. While the repository is primarily an application, it incorporates data engineering patterns (CDC, vector embeddings) for the recommendation and search features, giving it a slight hybrid data character. Overall, the code demonstrates solid engineering practices, a well-defined microservice boundary, and several reusable components, though some duplication across services and boilerplate configs exist.
Prismaliser is a fully client-side single-page application that visualizes Prisma database schemas as interactive entity-relationship diagrams. It runs entirely in the browser: the user pastes a Prisma schema into a Monaco editor, the app parses it client-side via a vendored WASM module from Prisma's own schema parser, and renders the models, enums, and relations (1-1, 1-n, m-n) as an interactive React Flow graph. The app has no backend server – it is a static Vite SPA that can be self-hosted (Docker image provided). Recently, AT Protocol (Bluesky) integration was added allowing users to publish immutable snapshots of their diagrams (schema + node positions) to their own AT repository, share via canonical AT links, and manage published snapshots. OAuth login is browser-native using the atcute library family. The codebase is TypeScript strict, thoroughly tested (Vitest), and follows modern React patterns with Tailwind CSS v4 and CSS modules. The architecture is modular: a util layer handles Prisma parsing, graph generation, and layout (elkjs), while a dedicated atproto/ module handles OAuth, record creation, public retrieval, and share link parsing. The UI is built with React 19, using local state and hooks (no global state management). The project is actively maintained with recent commits and open issue triage.
Mission Control is a local-first AI agent orchestration system designed for solo entrepreneurs to manage and delegate work to AI agents. It combines task management (Eisenhower matrix, Kanban board), goal tracking, project oversight, and autonomous agent execution with built-in safety controls. The system features a Field Ops subsystem for executing real-world actions via integrations with services like Twitter, Ethereum, and Reddit, complete with approval workflows, spend limits, and encrypted credential storage. An autonomous daemon handles background task execution, while all data is stored as JSON files to ensure user control and privacy. Built with Next.js 15, React, and TypeScript, it emphasizes security, error resilience, and agent-human communication through inbox and decision systems.
This repository implements a Linux desktop GUI for managing WireGuard VPN profiles. It is built using the Tauri v2 framework, combining a Rust backend for system-level operations (connection management, encryption, file I/O) with a Next.js 16 (React 19) frontend for the user interface. The application allows users to create, import, export, connect, and disconnect WireGuard tunnels, and provides optional at-rest encryption for profile data using a user-defined PIN. The architecture follows a clean IPC-based separation of concerns. The frontend communicates with the Rust backend exclusively through typed Tauri commands defined in `lib/effects.ts`. The backend in `src-tauri/src/main.rs` manages application state, executes WireGuard commands via shell scripts (`wg.sh`), and handles encryption via a dedicated security module. The UI is built from a comprehensive library of ~40+ composable, accessible components in `components/ui/`, demonstrating a strong commitment to frontend architecture and design system principles. The most reusable assets are the Rust security module (`security.rs`), which implements PIN-based encryption using Argon2id and XChaCha20-Poly1305 in a self-contained manner, and the typed IPC service layer (`lib/effects.ts`), which cleanly decouples the UI from the backend. The UI component library, while styled for this project, follows an architectural pattern (atomic, composable primitives) that is directly transferable to other React projects. The project is actively maintained with CI/CD, E2E testing, and semantic versioning, though it carries some technical drift in its Nix build configuration (targeting Tauri v1) and deprecated plugin permissions.
Bot Studio is a Next.js-based web application designed for testing and managing OpenAI models through an interactive chat interface. The application allows users to configure API credentials, manage files for fine-tuning, create and monitor fine-tuning jobs, list and delete custom models, and interact with multiple chat windows to test model responses with configurable parameters. The architecture follows a modular approach with React contexts for global state (OpenAI configuration), Zustand stores for domain-specific state (chats, files, fine-tunes, models), and React Query for data fetching and synchronization with the OpenAI API. The user interface is built using Tailwind CSS and Headless UI, with a collection of custom, reusable components for forms, buttons, modals, and toast notifications. Key features include streaming responses from the OpenAI API via a custom hook, file upload/download utilities, and a responsive layout with a persistent navigation sidebar. The application demonstrates strong engineering practices through its use of TypeScript, strict linting, and well-encapsulated components. Several components, such as the toast notification system, the OpenAI streaming hook, and the form input components, are designed with reusability in mind and could be extracted for use in other projects with minimal modification. The codebase is actively maintained and shows no significant signs of technical debt or dependency decay.
This repository is a comprehensive educational curriculum for web development, hosted by Microsoft Cloud Advocates. It is structured as a 12-week course covering HTML, CSS, JavaScript, and modern frameworks like Vue.js and Next.js. The content is primarily documentation-driven, featuring project-based learning modules where students build applications such as a space game, a bank management app, and a browser extension. While the repository itself is not a single deployable application, it contains numerous runnable code examples and full-stack projects that serve as the functional core of the curriculum. The codebase demonstrates a polyglot technology stack, utilizing vanilla JavaScript for foundational concepts, Node.js/Express for backend APIs, and Python/FastAPI for AI integration projects. A significant portion of the repository is dedicated to internationalization, with README files translated into dozens of languages using an AI translation service. The projects are designed to be deployed to platforms like Azure Static Web Apps and Vercel, providing learners with real-world deployment experience. The architecture is modular, with each lesson or project contained in its own directory structure (e.g., `6-space-game`, `7-bank-project`). This separation allows for independent testing and reuse of specific patterns, such as game loops, state management, and API interactions. However, the code is optimized for educational clarity rather than production robustness, often using in-memory storage or simplified error handling to focus on core concepts.
ACI.dev is an open-source platform that provides a unified tool-calling interface for AI agents, enabling them to interact with over 600 third-party services via REST APIs or custom connectors. The backend is built with FastAPI, PostgreSQL (with pgvector for semantic search), SQLAlchemy, and Alembic for migrations, while the frontend is a Next.js 15 application with Shadcn UI, TanStack Query, and Zustand. The platform includes a full OAuth2 flow for service authentication, encrypted credential storage using AWS KMS, Stripe-based subscription billing, and a CLI for administrative tasks. It is designed as a multi-tenant SaaS with per-project quotas, agent management, and a playground for testing function calls. Architecturally, the system is modular: apps are defined as JSON schemas (app.json and functions.json) in a standardized format, and a generic execution engine dispatches calls to REST endpoints or local connector modules. The codebase demonstrates strong separation of concerns with CRUD modules, dependency injection, and middleware for rate limiting and logging. It also includes an evaluation pipeline for measuring search relevance (using synthetic intents and metrics like MRR), and a vector-based search for app and function discovery. While primarily an application, the repository contains research-oriented components such as the evaluation pipeline and embedding-based search, reflecting a hybrid nature focused on improving AI agent tool selection. The code is well-maintained and actively developed, with comprehensive test coverage (though some tests are skipped or TODO). The integration system is extensible, and several components (e.g., OAuth2 manager, encrypted SQL types, generic data table UI) are well-crafted and reusable. However, the codebase shows some technical debt in the form of hardcoded configurations, in-memory rate limiting, and app-specific OAuth2 overrides. Overall, it is a professional-grade platform with a high level of craftsmanship, suitable for production use and further extension.
NextFaster is a high-performance e-commerce template built with Next.js 15, designed to demonstrate the capabilities of Partial Prerendering (PPR), server actions, and the Vercel platform. It features over 1 million AI-generated art supply products with categories, subcategories, and product pages. The application uses Drizzle ORM on Neon Postgres for data storage, Vercel Blob for image hosting, and Upstash for rate limiting. Authentication is handled via JWT sessions with bcrypt password hashing. The architecture follows a monolithic Next.js app router pattern with server actions for all mutations (cart, auth). Pages are rendered using PPR: the static shell is precomputed and served from the edge, while dynamic data (cart count, user state) is streamed in. The site leverages Incremental Static Regeneration (ISR) for caching product pages and uses a custom prefetching system that preloads images on link hover via an API route that parses target page HTML. Key features include a search dropdown with full-text search (tsvector) and ILIKE fallback, a cookie-based cart, user authentication with sign up/sign in, and an order page with cart summary. The codebase demonstrates advanced Next.js patterns including React 19's useActionState, Radix UI primitives for accessible components, and the Effect library for concurrent data generation scripts.
Nextron is a CLI tool and scaffolding system that integrates Next.js with Electron for building cross-platform desktop applications using web technologies. It provides a streamlined development experience by orchestrating Next.js dev server, webpack bundling for Electron main and preload scripts, and optional production packaging with electron-builder. The repository contains the core library (CLI, build helpers, webpack configurations) and a rich set of example projects demonstrating integrations with UI frameworks (Ant Design, Chakra UI, Material UI, Tailwind CSS, Emotion, i18next) and features like window state persistence, static export, and custom build options. The architecture is monolithic, centered around a command-line interface with `dev` and `build` commands, and the codebase shows disciplined engineering with TypeScript, ESLint, Prettier, and lefthook. While primarily a development tool, its examples serve as practical templates for Electron+Next.js application patterns.
OpenClaw-bot-review is a Next.js 16 + React 19 monitoring dashboard for the OpenClaw multi-platform AI agent system. It reads local filesystem data (config, session logs) to display real-time agent status, model/session statistics, gateway health, and alerts. The dashboard includes a pixel-art office visualization where agents are represented as wandering characters with a full game loop, sprite system, and bug simulation. It also houses a self-improvement R&D council with an evidence-driven decision pipeline (ingest usage → build council items → deliberate → approve/reject/snooze). The architecture is a client-heavy Next.js app with API routes that wrap OpenClaw CLI commands and direct file reads; no database is used. Key entry points are the main dashboard (`app/page.tsx`), API routes under `app/api/`, and the pixel-office engine in `lib/pixel-office/`. The codebase demonstrates solid engineering with several reusable modules (CLI wrapper, path resolution, model probe, game loop), but contains some large monolithic client components and limited test coverage.
SushiSwap 2.0 is a multi-chain decentralized exchange (DEX) frontend built as a monorepo (pnpm, Turborepo) with Next.js App Router, React, and a shared UI library. It provides swap (simple, limit, DCA, TWAP), cross-chain swap (via LI.FI and Near Intents), perpetual futures (Hyperliquid-based), liquidity pools (V2/V3/Blade/Steer vaults), a token launchpad, staking (xSUSHI), and a developer portal (Zitadel auth, team management, API keys). The codebase supports EVM, SVM (Solana), Stellar, and Aptos chains, with namespace-aware wallet providers (Wagmi, Privy, Stellar Wallets Kit) and unified data fetching via TanStack Query and a custom GraphQL client. The architecture is heavily componentized, with reusable patterns like the Checker system (guards for connect/network/amounts), Provider composition (balance, price, trade state), and a design system in packages/ui. Testing includes Vitest unit tests and Playwright e2e with Anvil forks. The repo is actively maintained but carries moderate technical drift due to multi-chain duplication, hardcoded external API endpoints, and deprecated features (Blade pools, Arbitrum Nova minimization).
EasyInvoicePDF is a free, open-source, browser-based invoice generator that creates PDF invoices with live preview, no sign-up required, and no ads. Built with Next.js (App Router), React 19, TypeScript, Tailwind CSS, and shadcn/ui, it runs entirely client-side for the public editor—invoice data stays in localStorage and is never uploaded to a server. The application supports 10 languages, 120+ currencies, two PDF templates (default and Stripe-inspired), QR codes, multi-page PDFs, and shareable compressed URLs. A private server-side API (Bearer token + Upstash rate-limited) handles monthly recurring invoice generation via Trigger.dev cron, uploading PDFs to Google Drive, emailing via Resend, and sending Telegram notifications. The codebase also includes extensive SEO landing pages, a changelog, a founder page, and comprehensive testing (Vitest unit tests, Playwright e2e with PDF screenshot baselines). Architecture: The app uses two root layouts—unprefixed English-only routes (/) and locale-prefixed routes (/[locale]) for i18n via next-intl. The main invoice form is a large client component with react-hook-form and Zod validation, debounced autosave, and template/language switching. PDF rendering uses @react-pdf/renderer on the client for live preview and on the server for automation. External dependencies include Upstash Redis (rate limiting, queue), Resend (email), Google Drive (archive), Telegram (notifications), Sentry (error tracking), Umami (analytics), and Trigger.dev (scheduled tasks). The repository also contains a rich ecosystem of agent skills (Vercel React best practices, composition patterns, SEO audit, etc.) used in development workflows. Key data flows: User fills form → state stored in localStorage and optionally shared via compressed URL → PDF preview rendered client-side via @react-pdf/renderer → download or share. For monthly automation: Trigger.dev cron triggers server-side PDF generation → upload to Google Drive → email via Resend → Telegram notification. The backend API also supports a preview endpoint for sample PDFs and a Telegram webhook for on-demand generation.
This is an enterprise-ready monorepo starter for content-driven websites, combining Strapi v5 (headless CMS) as the backend and Next.js 16 (App Router) as the frontend, managed with Turborepo and pnpm. In production, it provides a visual page builder with dynamic zones in Strapi, rendered server-side by Next.js with ISR and cache revalidation via Strapi document middleware. The system includes end-user authentication (Better Auth + Strapi JWT), localization (next-intl), media handling (imgproxy), SEO helpers, preview mode, optional CDN purge (Azure Front Door), and observability (Sentry, Azure Monitor). It is not a data research repository; the hybrid nature comes from data seeding workflows and Strapi config-sync exports that version content-model layouts and permissions, but the dominant character is a full-stack web application starter. The architecture is a monorepo with two primary apps (`apps/strapi` and `apps/ui`), shared packages (`packages/design-system`, `packages/logging`, `packages/eslint-config`, `packages/shared-data`, `packages/strapi-types`), a Docusaurus documentation site (`apps/docs`), and a Playwright QA workspace (`qa/tests/playwright`). Key entry points include the Strapi bootstrap and admin panel extensions, the Next.js middleware chain (`proxy.ts`) implementing basic auth, redirects, auth guard, and security headers, catch-all ISR pages, and API routes for revalidation, CDN purge, and Strapi proxying. The primary data flow is content authored in Strapi → published → document middleware triggers UI revalidation → Next.js fetches Strapi content via server-side API clients and renders pages with ISR. External dependencies are modern and pinned (Next.js 16, React 19, Strapi v5, TailwindCSS v4, Better Auth). The codebase demonstrates high craftsmanship with clean abstractions: a composable proxy middleware chain, pluggable CDN and telemetry providers, a typed Strapi API client with pagination, a hierarchy service computing fullPath changes with redirect compaction, and a shared logging package with OpenTelemetry correlation. Testing is comprehensive with Vitest unit tests and Playwright e2e/visual/SEO/accessibility suites. Some scaffolding remains incomplete (e.g., `removeThisWhenYouNeedMe` markers), and the two rich-text editors (CKEditor and TipTap) introduce duplicate rendering paths. Overall, this is a strong, well-documented starter suitable for teams building content-rich websites with a modern stack.
This repository powers the tina.io website: a marketing, blog, changelog, and documentation hub for TinaCMS (an open-source Git-backed headless CMS). Built with Next.js 14 (App Router), TypeScript, Tailwind CSS, and TinaCMS itself as the content management system, it dogfoods the product. Content is stored as JSON (structured pages with block-based templates) and MDX (blog posts with rich components). The site features internationalization (English/Chinese with automated translation workflows), Algolia search indexing, API routes for Mailchimp, SendGrid, GitHub, and YouTube integrations, OG image generation via Satori/resvg, visual regression testing with Playwright, and a comprehensive UI component library. The architecture is a standard Next.js monolith with a block-based page builder and a custom TinaCMS schema defining 12 content collections. While the codebase is well-organized and actively maintained, it exhibits some technical debt: mixed styling systems (styled-components and Tailwind), TypeScript strict mode disabled, and a large block template set that may become unwieldy. The i18n implementation relies on duplicated route trees, which a design document aims to refactor.
The reactjs/ja.react.dev repository is the official Japanese translation of the React documentation site (react.dev). It is a Next.js (Pages Router) application that compiles MDX content into static pages with dynamic interactive features. The architecture uses Next.js for static generation, with custom React components (MDX, Layout, Icons), a sophisticated Sandpack integration for live code playgrounds (including a custom React Server Components sandbox inside an iframe), Algolia DocSearch, Tailwind CSS styling, and textlint for Japanese proofreading. Key entry points include the catch-all page `src/pages/[[...markdownPath]].js` that renders all documentation, and the API route `src/pages/api/md/[...path].ts` for serving raw markdown. The site also generates RSS feeds, runs a dead link checker, and uses custom ESLint rules to lint React code blocks within markdown. External dependencies include React 19, Next.js 15, Sandpack, MDX, and various remark/rehype plugins. While the codebase is well-organized and demonstrates strong engineering practices (TypeScript, custom tooling, CI/CD), its components are tightly coupled to the documentation site's layout and content structure, limiting direct reuse outside of similar documentation projects.
SigNoz is a full-stack open-source observability platform that ingests OpenTelemetry data (traces, metrics, logs), stores it in ClickHouse, and provides a rich web UI for querying, dashboards, alerts, and infrastructure monitoring. The backend is written in Go with a modular architecture using factory/provider patterns, SQL migrations, and OpenFGA-based authorization. The frontend is a React/TypeScript SPA with Zustand state management, react-query, uPlot charts, and a comprehensive query builder supporting PromQL, ClickHouse SQL, and builder queries. The enterprise edition adds anomaly detection, RBAC, licensing, and usage metering. The codebase is actively maintained with extensive testing (unit, integration, e2e) and CI/CD, though some legacy API versions and deprecated clients indicate ongoing migration.
mapcn is a React map component library and documentation site, not a data project. The product is a single-file MapLibre GL JS wrapper (`src/registry/map.tsx`) that exposes composable components such as Map, MapMarker, MapPopup, MapRoute, MapArc, MapGeoJSON, MapClusterLayer, and MapControls. It is distributed as a shadcn/ui registry: users run `npx shadcn add @mapcn/...` and receive copy-paste source code. The accompanying Next.js 16 app is a showcase and docs portal, rendering live examples, code samples, installation commands, and generated LLM-oriented content via routes under `/llm` and `/llms.txt`. Architecturally, the repo combines a library (registry JSON + map.tsx) with an application shell (Next.js App Router, Tailwind CSS v4, shadcn UI components). The map components use React contexts, portals, forwardRef/useImperativeHandle, and MapLibre style expressions to manage markers, popups, routes, arcs, GeoJSON layers, clustering, and hover states. Blocks under `src/registry/blocks/` demonstrate realistic use cases (analytics maps, store locators, logistics networks, uptime monitoring) with hardcoded sample data and external data sources like OSRM routing and Natural Earth GeoJSON. These demo blocks are primarily illustrations, not data pipelines. Maintenance is active, but the codebase has risks: the core map library is a ~3000-line monolith, the distributable JSON registry duplicates source files, and the stack is heavily bleeding-edge (Next.js 16, React 19.2.3, Tailwind v4). No automated tests appear in the repository. Overall it is a polished, effectively structured component library with a strong distribution model, but its craftsmanship is constrained by the single-file monolith and build fragility.
This repository is a minimalist CV (resume) web application built with Next.js 16, React 19, TypeScript, and Tailwind CSS. It serves as a personal portfolio site that renders resume data from a single TypeScript file into a print-friendly layout. The architecture follows Next.js App Router conventions with server-side rendering and static generation. Key features include a command menu for quick navigation, responsive design, dark mode support, SEO-optimized structured data (JSON-LD), and a production-ready Docker setup. The codebase demonstrates strong engineering practices with clear separation of concerns, reusable UI components, and attention to accessibility and performance.