Mipa vs Movinn

Mipa is a native iOS app for managing your own Mihomo and Clash controller instances from anywhere. Use Mipa to monitor live traffic, inspect connections, switch proxies, review rules, check logs, and manage core actions in a clean mobile interface designed for daily remote control. Features: - Connect to your own Mihomo or Clash controller instances - View real-time traffic, memory, and connection statistics - Switch proxies and inspect proxy groups - Review rules, logs, and detailed network activity - Reload config, update GEO data, and perform common maintenance actions - Manage multiple services in one place Mipa is built for users who want a focused and native remote controller for their proxy infrastructure. Notice: This app is not a VPN client and does not provide VPN service on iOS. It does not create or manage a VPN tunnel on the device and does not route user traffic through Network Extension. It only connects to user-managed external Clash / mihomo instances for status display and remote management. ---------------------- Mipa 是一款原生 iOS 应用，用于远程管理你自己的 Mihomo 和 Clash controller 实例。 你可以用 Mipa 查看实时流量、连接状态、代理分组、规则和日志，也可以在移动端完成常见的远程维护操作，适合日常远程控制和状态检查。 功能包括： - 连接并管理你自己的 Mihomo 或 Clash controller 实例 - 查看实时流量、内存和连接统计 - 切换代理并查看代理分组 - 查看规则、日志和详细网络活动 - 重载配置、更新 GEO 数据并执行常见维护操作 - 在一个应用中管理多个服务 Mipa 面向希望用简洁原生界面远程控制代理基础设施的用户。 注意：本应用并非 VPN 客户端，亦不在 iOS 设备上提供 VPN 服务。 本应用不会在设备本机创建或管理 VPN 隧道，也不会通过 Network Extension 对用户网络流量进行转发。 本应用仅作为远程管理客户端，连接到由用户自行部署和管理的外部 Clash / mihomo 实例，用于展示运行状态并执行远程管理操作。

Movinn is a lightweight tool built exclusively for managing your personal outdoor activity tracks. No social feeds, no overcomplicated professional analytics, no coach guidance — we focus purely on your trails: where you’ve traveled, how you moved, and how your routes unfolded. Whether you run, cycle, hike, or commute daily, Movinn lets you quickly look back at all your past activity logs. With a tiny one-time cost, you gain full ownership of your data. Revisit every mile you’ve covered via interactive maps, timelines and diverse data visualizations.