Both implementations provide identical functionality but with different approaches.
- Cross-platform command-line application
- Runs as a background process
- Configuration via
.envfile - Lightweight and portable
- Native macOS GUI application
- Modern SwiftUI interface
- Visual status indicators
- Built-in settings panel
| Feature | Python Bridge | macOS App |
|---|---|---|
| Platform | Cross-platform (Windows, macOS, Linux) | macOS only (13.0+) |
| Interface | Terminal/Command line | Native GUI with SwiftUI |
| Configuration | .env file |
Settings panel in app |
| Status Display | Text logs in terminal | Visual status indicators |
| Auto-connect | Manual restart needed | Built-in toggle option |
| Activity Log | Terminal output | Scrollable in-app log |
| Dependencies | Python 3.7+, pip packages | None (standalone app) |
| Installation | pip install -r requirements.txt |
Drag to Applications |
| File Size | ~50 KB (script only) | ~2-5 MB (compiled app) |
| Memory Usage | ~20-30 MB | ~40-60 MB |
| Startup Time | ~1 second | ~2 seconds |
| Updates | pip install --upgrade |
Rebuild or download new version |
- ✅ You need cross-platform support
- ✅ Running on Linux or Windows
- ✅ Automating via scripts/cron jobs
- ✅ Running on a server without GUI
- ✅ You prefer command-line tools
- ✅ Minimal resource usage is important
- ✅ You want to modify the code easily
- ✅ You're on macOS and want a native experience
- ✅ You prefer GUI over command line
- ✅ You want visual connection status
- ✅ You need easy configuration changes
- ✅ You want auto-connect on startup
- ✅ You prefer drag-and-drop installation
- ✅ You want a menubar app experience
Architecture:
asyncio event loop
├── OBS WebSocket connection (obsws-python)
├── Website WebSocket connection (websockets)
└── Message routing logic
Key Dependencies:
obsws-python==1.6.1- OBS WebSocket v5 clientwebsockets==12.0- WebSocket clientpython-dotenv==1.0.0- Environment configuration
Protocol: OBS WebSocket v5 (latest)
Architecture:
SwiftUI App
├── OBSWebSocketClient (URLSession)
├── WebsiteWebSocketClient (URLSession)
├── BridgeManager (Coordinator)
└── Settings (UserDefaults)
Key Technologies:
- SwiftUI for interface
- Combine for reactive updates
- URLSession for WebSocket
- UserDefaults for persistence
- CommonCrypto for authentication
Protocol: OBS WebSocket v5 (latest)
obs_bridge.py (275 lines)
├── OBSBridge class
│ ├── connect_to_obs()
│ ├── connect_to_website()
│ ├── handle_website_message()
│ └── website_listener()
└── main()
bridge/OBSBridge/ (7 files, ~1200 lines)
├── OBSBridgeApp.swift (Entry point)
├── ContentView.swift (Main UI)
├── SettingsView.swift (Configuration UI)
├── AppSettings.swift (Settings model)
├── BridgeManager.swift (Coordinator)
├── OBSWebSocketClient.swift (OBS connection)
└── WebsiteWebSocketClient.swift (Website connection)
- Startup: ~1s
- Memory: 20-30 MB
- CPU (idle): <1%
- CPU (active): 2-5%
- Startup: ~2s
- Memory: 40-60 MB
- CPU (idle): <1%
- CPU (active): 2-5%
Both are lightweight and suitable for running 24/7.
- Easy to modify: Single file, Python syntax
- Easy to debug: Print statements work immediately
- Testing: Run directly with Python
- Distribution: Share the .py file or package with PyInstaller
- Moderate to modify: Multiple Swift files, compiled
- Debugging: Use Xcode debugger with breakpoints
- Testing: Build and run in Xcode
- Distribution: Build .app bundle or .dmg
obs_bridge.py ~10 KB
requirements.txt ~1 KB
.env ~200 bytes
Total: ~11 KB (+ Python runtime + deps)
OBSBridge.app ~2-5 MB (standalone, no dependencies)
# Easy to add custom commands
elif command == "MyCustomCommand":
self.obs_ws.my_custom_method()
response_data = {...}// Add to BridgeManager.swift
case "MyCustomCommand":
obsClient.executeCommand(
command: "MyCustomMethod",
params: params,
requestId: requestId
)Both are equally extensible.
- You need cross-platform support
- You're comfortable with command line
- You want minimal resource usage
- You need to run on a server
- You're on macOS
- You prefer GUI applications
- You want visual feedback
- You want easy configuration
You can install both and use whichever fits your workflow:
- Development: Use Python bridge (faster iteration)
- Production/Daily use: Use macOS app (better UX)
Both use the same settings, so switching is easy:
- Note your
.envvalues - Open macOS app settings
- Enter the same values
- Start the bridge
- Export settings from app (manually note them)
- Create
.envfile with those values - Run Python bridge
- Windows service support
- systemd integration for Linux
- Web-based configuration UI
- Docker container
- Menubar mode
- Keyboard shortcuts
- Multiple OBS instance support
- macOS share extension
- Notifications
Both implementations are production-ready and feature-complete.
Choose based on your platform and preference:
- Python = Cross-platform, lightweight, scriptable
- macOS App = Native, visual, user-friendly
Can't decide? Try both! They use the same protocol and can coexist peacefully.