This project provides an AI-driven "technical radar" for the WeChat mini-program ecosystem, offering technology selection guidance, trend tracking, and migration diagnostics. It targets developers and technical decision-makers needing to navigate the complexities of mini-program development resources, aiming to streamline choices and assess project risks.

How It Works

The tool leverages AI, primarily through OpenAI-compatible APIs, to analyze and categorize WeChat mini-program resources. Key features include a "Radar" for browsing resources by status and risk, an "Advisor" for AI-generated tech selection advice (with rule-based fallbacks), and a "Doctor" module that scans local mini-program projects for structural and configuration risks. It also facilitates direct comparison between major development frameworks like Taro and uni-app.

Quick Start & Requirements

• Primary Install/Run: npm install followed by npm run dev.
• Prerequisites: Node.js, npm.
• Key Dependencies/Config: OpenAI API key (OPENAI_API_KEY) is essential for AI features, with optional configuration for fallback models, database (DATABASE_URL), Vercel deployment tokens, and blob storage.
• Links: Production: https://miniapp.jjc.fun, Vercel: https://wechat-miniapp-radar.vercel.app.

Highlighted Details

• AI-powered technology selection and risk assessment for WeChat mini-programs.
• "Doctor" feature provides project health reports, scanning framework dependencies and configurations.
• Direct comparison capabilities for core frameworks (Taro, uni-app, MPX, WePY) and UI libraries (Vant-weapp, TDesign).
• Data export functionality for resources in JSON or CSV format.
• Automated generation of weekly ecosystem trend reports.

Maintenance & Community

• Community: QQ Groups available: 578063690, 682463867 (Group 593495800 is full).
• Data Management: Core resource data is managed via data/resources.yaml. Deployment targets Vercel.

Licensing & Compatibility

• License: The project's license is not explicitly stated in the README, which is a significant omission for assessing usage rights.
• Compatibility: Requires a Node.js environment. Full functionality, especially AI features, depends on configuring external API keys and potentially other services like databases or blob storage.

Limitations & Caveats

The absence of a specified open-source license presents a major adoption blocker, particularly for commercial use. AI Advisor functionality is dependent on external API availability and may degrade to rule-based suggestions if API keys are missing or models fail validation.