FlClash is a production multi-platform proxy/VPN client that embeds and manages the mihomo (Clash.Meta) Go core. The Dart/Flutter app (Riverpod, Drift, freezed) drives a real core lifecycle: profile/subscription import and validation, proxy group and rule management, TUN/VPN on Android, system proxy on desktop, live connections/requests/DNS views, latency probing, streaming-service availability checks, and WebDAV backup/restore. The Go core exposes a method-dispatch IPC contract (updateConfig, changeProxy, getConnections, watchRoute, probe, serviceCheck, etc.) consumed through an Android cgo bridge and a desktop helper process. This is a full application, not a library or data project — no notebooks, no research pipelines. The architecture is layered: Flutter UI → manager/provider layers → core controller → framed JSON IPC → Go mihomo core. Desktop builds add a Rust privileged helper service (systemd unit / Windows SCM, Unix socket with peer-credential auth) and Rust plugins for global hotkeys, QuickJS evaluation of script-based profile overrides, and a rope-backed code editor (code_forge). Native integration plugins for system tray, window management, system proxy, and WiFi SSID are shipped as separate Dart packages with per-OS implementations in C++/Swift/Kotlin. A custom build-hook system compiles and SHA-256-fingerprints the Go core and Rust helper artifacts with file-locking to make native builds cacheable and idempotent. The codebase is unusually disciplined. Test/ subdirectories include contract tests that parse Go structs from the mihomo submodule to verify DNS-override parity, AST-parsing tests verifying every core method is dispatchable, architectural lint tests (platform layering, dead-file detection, UI tooltip enforcement, Material-icon bans), plus unit and widget tests across every layer. Concurrency is handled deliberately: priority message batching between core and UI, serial task scheduling, claim/cancel semantics for GEO/probe updates, and an Android service state machine with newest-request-wins arbitration. Release tooling generates changelogs from conventional commits and a CI pipeline produces deb/rpm/AppImage/DMG/Inno packages. Caveats: the polyglot stack (Dart, Go, Rust, Kotlin, C++, Swift) and tight coupling to mihomo internals via a git submodule make wholesale extraction impractical, and large amounts of generated code (freezed, riverpod_generator, Drift, flutter_rust_bridge) require coordinated regeneration. Browser-platform and TV branches add conditional complexity, and some UI tests assert precise pixel/animation timings that are brittle. The genuinely reusable value lives in the standalone patterns — IPC framing and batching, the rope data structure, fractional indexing, async utilities, and the fingerprinted build cache — plus the independent plugin packages themselves.
Anx Reader is a cross-platform e-book reader application built with Flutter and Dart. It supports a wide range of formats (EPUB, MOBI, PDF, TXT, FB2, CBZ) by leveraging a forked version of the foliate-js JavaScript library as its core rendering engine, served by an embedded Dart HTTP server and displayed in a platform-abstracted WebView widget. This architecture, while functional, creates a hard dependency on a complex external JavaScript project and a Dart HTTP server for what is fundamentally a local file reader. The application follows a monolithic architecture with a strong emphasis on clean separation of concerns. It uses Riverpod for reactive state management, a service layer for business logic (AI, TTS, Sync, Translation), and a widget layer for UI composition. The codebase is notable for its extensive use of design patterns like Registry (for AI tools and dashboard tiles), Adapter (for platform-specific WebViews and TTS backends), and Repository (for AI tool data access). The Dart code itself is well-structured and demonstrates professional Flutter development practices. Beyond basic reading, it features deep AI integration (chat, summarization, content analysis via configurable providers), text-to-speech with multiple backends, WebDAV synchronization, a customizable statistics dashboard, and a full annotation system. The project is actively maintained with a sophisticated CI/CD pipeline targeting Windows, macOS, Linux, Android, iOS, and OpenHarmony. The Dart code demonstrates high craftsmanship, particularly in the AI tool framework, the dashboard tile system, and the platform abstraction layers. These components are well-isolated and could be extracted for reuse in other Dart projects. The primary risk is the tight coupling to the external foliate-js JavaScript engine and the reliance on multiple third-party AI and TTS APIs, which introduces external dependency risk and potential for API drift.
Hiddify is a cross-platform proxy/VPN client built with Flutter and a Go core (Sing-box). It supports multiple proxy protocols (Vless, Vmess, Reality, TUIC, Hysteria, WireGuard, SSH, etc.), subscription management, per-app proxy, routing rules, chain configuration, and advanced features like Warp, Psiphon, and TLS tricks. The architecture is a Flutter frontend communicating with a Go backend via gRPC/protobuf over a local socket. The app uses Riverpod for state management, drift for local SQLite storage, freezed for immutable models, and go_router for navigation. It has platform-specific native code for Android (Kotlin), iOS/macOS (Swift), Windows (C++), and Linux (C). The codebase is well-organized into feature modules, core infrastructure, and generated protobuf bindings. It is actively maintained with CI/CD pipelines and multi-platform releases, though it contains some commented-out code and generated file churn.
This is a production-oriented full-stack SaaS starter kit (not a data/research project). It is a monorepo template pairing a Next.js web app (landing page, auth flow, account dashboard, marketing sections) with a Flutter cross-platform app (iOS/Android/macOS/Windows/Linux/web) on top of a shared Supabase backend. The backend is a Postgres schema (users, customers, products, prices, subscriptions, invoices) protected by row-level security, plus Deno edge functions that orchestrate Stripe Checkout sessions and process Stripe webhooks. PostHog handles analytics on both frontends, Loops.so handles transactional email, and an optional Monero cryptocurrency payment variant can be toggled in via patch scripts, giving the template two billing backends.