| Feature | React Native (Expo) | Standard Flutter | | | :--- | :--- | :--- | :--- | | Bridge Architecture | JavaScript Bridge (Async) | Direct C++ Compilation | Direct + Predictive | | State Management | Redux / Context | Provider / Bloc | MareState Herd AI | | Hot Reload Speed | ~1–2 seconds | ~500ms | <100ms | | Best Use Case | MVPs, Simple apps | Branded apps, Complex UI | High-frequency trading, Social feeds, AR/VR | | Learning Curve | Moderate (JS) | Steep (Dart) | Moderate (Dart + FlockLang) |
Enter .
As of today, only ~400 packages support FlutterMare’s "Herd" pattern. You can use standard Flutter packages, but they won't benefit from the predictive gallop, turning them into "dead weight" in your app. FlutterMare
Because MareState relies on a server-side orchestrator, if your backend goes down, the UI becomes sluggish. Offline mode is possible but requires a massive local cache—essentially running a mini-backend on the phone. | Feature | React Native (Expo) | Standard
The herd is growing. The track is set. The only question remaining is: Are you ready to ride? Have you tried FlutterMare in production? Share your galloping speed metrics in the comments below. And if you enjoyed this article, subscribe to our newsletter for weekly deep dives into emerging frameworks. Because MareState relies on a server-side orchestrator, if
import 'package:fluttermare/fluttermare.dart'; class CounterHerd extends GallopWidget @override HerdState<CounterHerd> createState() => _CounterHerdState();