thehardwarestore.ai

FitMart is a full-stack fitness e-commerce application built with React 19, Node.js/Express 5, MongoDB (Mongoose 9), Firebase Authentication, and Razorpay payments. It provides a product catalog, shopping cart, checkout flow, order management, user profiles, fitness calculators (BMI, calorie), workout tracking, a rewards system, and an AI chatbot powered by Gemini. The admin dashboard includes KPI grids, customer segmentation, inventory management, sales reports, and bug tracking. The architecture is a monolith with separate client and server directories, using Docker for containerization and GitHub Actions for CI/CD. While the codebase is well-structured with modern patterns (Zod validation, atomic database operations, Redis caching), it suffers from incomplete features, hardcoded values, security gaps (dev admin bypass, hardcoded admin UID), inconsistent error contracts, and limited test coverage. The high number of open issues (276) suggests community engagement but also maintenance challenges.

Hayroo is a full-stack MERN e-commerce application built as a tutorial/demo project. It enables product browsing, cart management, checkout with Braintree sandbox payment, user authentication (JWT), and an admin dashboard for managing categories, products, orders, and slider images. The frontend uses React with Context API and useReducer for state management, while the backend is an Express.js REST API with MongoDB/Mongoose. The code follows standard patterns for a teaching project but lacks tests, CI/CD, and advanced optimizations. It is a functional, unremarkable implementation suitable for learning MERN stack concepts.

PutongOJ is a full-stack online judge platform built as a pnpm monorepo with TypeScript across the stack. The backend is a Koa 3 server using MongoDB (Mongoose) and Redis, with a separate judger component that executes submissions in a privileged Docker sandbox via go-judge. The frontend is a Vue 3 application using PrimeVue, Pinia, and Vue Router; it provides problem CRUD, testcase management, contest ranklists/status, course management, discussions, and account settings. A shared package (@putong-oj/shared) contains Zod schemas and enums used by both server and client. Although primarily an application, it includes a data migration subsystem and a documented testcase data format, giving it a minor data-engineering flavor.

Stb (图床) is a full-stack image hosting service built as a pnpm monorepo. The backend is a Node.js/Express application with MongoDB (Mongoose) providing REST APIs for user authentication, image upload, album management, admin operations, and system configuration. The frontend is a Vue 3 single-page application using Pinia for state management, Vue Router with lazy-loaded views, and a mix of Ant Design Vue and Element Plus UI libraries. The system supports multiple storage backends (local filesystem, S3-compatible, Alibaba OSS, Tencent COS, Qiniu, Upyun, SFTP, FTP, WebDAV, Telegram, GitHub) via a pluggable adapter pattern, and integrates AI-based content moderation (Tencent, Aliyun, NSFWJS). Deployment is Docker-based with a multi-stage build and GitHub Actions CI/CD for multi-architecture images. The application includes a comprehensive admin panel for user, image, log, album, role group, invite code, and configuration management, as well as OAuth login (GitHub, Google, Linux DO), email verification, and a slider captcha component. While the codebase is functional and well-structured with clear separation of concerns, it exhibits some technical debt: mixed UI libraries increase bundle size, the configuration view is monolithic and exposes sensitive credentials to the client, there are no automated tests, and some patterns (e.g., IP detection, Docker entrypoint sed) are fragile. Overall, it is a solid, production-ready image hosting solution with reusable utility modules.

This repository implements a web scraper for the EastMoney stock forum (guba.eastmoney.com) using Selenium and MongoDB. It provides two main crawlers: PostCrawler scrapes post listings (title, views, comment count, URL, date, author) from paginated forum pages, and CommentCrawler scrapes individual post pages for comments (content, likes, date, sub-comments). The scraper uses a stealth.js script to evade bot detection, handles errors by restarting the WebDriver, and supports multi-threaded crawling for multiple stock symbols. Data is stored in MongoDB collections named post_<symbol> and comment_<symbol>. The code is a monolithic script with classes for crawling, parsing, and database operations. It is a functional but unremarkable scraper suitable for small-scale data collection, with basic error handling and no testing or dependency management.

This repository is a production-grade RESTful API service designed to serve Holy Bible text across multiple translations (NVI, RA, KJV, etc.) and languages (Portuguese, English, French, Spanish). Built on a Node.js/Express stack with MongoDB for persistence and Redis for caching and rate limiting, it follows a standard MVC architecture. The system includes JWT-based authentication for user management and request tracking, alongside a static frontend served via Pug templates. While the API contract is well-documented via OpenAPI and Insomnia, the codebase exhibits significant technical debt, specifically regarding cryptographic security (MD5 password hashing) and outdated core dependencies (Jest v24, Mongoose v5). The architecture is functional and modular but relies on legacy frontend technologies (jQuery/Pug) rather than modern SPA frameworks.

OpenUserJS.org is a Node.js/Express web application that serves as a hosting platform for user scripts (userscripts) and JavaScript libraries. It provides full CRUD operations for scripts, including upload, version management, GitHub import, and metadata parsing via PEG.js grammars. The platform includes community features such as user authentication (OAuth/OpenID via Passport.js), voting, flagging, moderation, discussions, issue tracking per script, and group management. The architecture follows a monolithic Express pattern with MongoDB (Mongoose) for persistence and AWS S3 for script storage. The frontend is server-rendered using Mustache templates with Bootstrap 3 and various client-side libraries (Ace editor, jQuery, highlight.js). The codebase demonstrates a comprehensive implementation of a community-driven script repository with rate limiting, security headers, and role-based access control (admin, moderator, user). Key modules include controllers for scripts, users, discussions, and moderation, along with utility libraries for model parsing, search, pagination, and async task orchestration. While the application is functional and has been in production for years, it exhibits significant technical debt: deprecated dependencies (request, underscore, moment), inconsistent error handling, hardcoded configuration, and a large number of TODO/FIXME comments. The code is not particularly modular or testable, and there are no automated tests visible in the repository. Despite these issues, the repository contains several well-crafted components that could be extracted and reused in other Node.js projects, such as the PEG.js grammar for userscript metadata parsing and the async task helper library. The overall quality is average, with room for improvement in modernisation, testing, and code organisation.

This is a lightweight SMTP server written in Go, designed to receive large volumes of email, parse MIME content, and store messages in MongoDB. It includes a web interface for viewing messages, managing greylisting, and real-time notifications via WebSockets (using the embedded Incus library). The server implements core SMTP commands (HELO/EHLO, MAIL, RCPT, DATA, AUTH, STARTTLS, XCLIENT) and supports TLS, greylisting, and spam filtering via regex. The architecture is monolithic: a single binary runs both the SMTP listener and an HTTP server for the web UI. The codebase is functional but shows signs of age: it uses deprecated dependencies (gopkg.in/mgo.v2, github.com/robfig/config, github.com/gosexy/redis), lacks a go.mod file, and has no automated tests. The SMTP protocol handling is reasonably robust, and the MIME parsing is non-trivial, but the overall project would benefit from modernization and testing.

Djongo is a Django database backend that enables using MongoDB as the database engine without modifying the Django ORM. It translates SQL queries (generated by Django's ORM) into MongoDB aggregation pipelines and commands, and provides custom model fields for embedded documents, arrays, and ObjectIds. The core is a SQL-to-MongoDB compiler implemented in the `sql2mongo/` package, which parses SQL tokens and maps them to MongoDB operators and stages. The repository also includes a commercial documentation site built with Angular and Jekyll, and references a paid cloud service (DjongoCS). The library is in alpha stage, with many features explicitly unsupported (indexes, transactions, schema validation, etc.) and pinned to very old versions of Django (≤3.1.12), pymongo (≤3.11.4), and sqlparse (0.2.4). The codebase shows signs of neglect: use of `print` for warnings, many `raise NotSupportedError` placeholders, and incomplete implementations. While the SQL-to-MongoDB translation logic is conceptually interesting, the overall package is not production-ready for modern Django/MongoDB stacks.