About this project

Mini Program Radar is an AI-driven WeChat Mini Program ecosystem selection and risk assessment tool that transforms development resources into a filterable, evaluable, and comparable technical radar. Core features include: - Radar: Browse mini program ecosystem resources by recommendation status, risk level, resource type, category, and applicable scenarios. - Quick Search: Quickly search resources and jump to common pages. - Compare: Compare core solutions like Taro, uni-app, and native mini programs. - Advisor: Enter selection questions to receive recommendations, applicable/non-applicable conditions, migration costs, next steps, and evidence sources. - Doctor: Paste mini program project configuration to identify framework dependencies, outdated solutions, and migration risks. - Weekly: View mini program ecosystem weekly reports and recent risk signals. The current dataset includes 236 mini program ecosystem resources covering categories such as official documentation, tools, plugins, components, backend SDKs, and demos. Key examples include Taro, uni-app, MPX, WePY, vant-weapp, tdesign-miniprogram, CloudBase Framework, and other frameworks and component libraries. It is suitable for product, development, and architecture teams conducting WeChat Mini Program technical selection, teams needing to assess frameworks, component libraries, cloud development, and SDK risks, and maintainers looking to convert historical awesome lists into filterable, comparable, and verifiable technical radars. A main site and Vercel online address are provided, along with a QQ discussion group.