A functional reactive framework for managing state evolution and side-effects in Android and JVM applications.
Mobius is a functional reactive framework for managing state evolution and side-effects in applications, particularly on Android and the JVM. It provides a structured pattern where state changes are driven by events, with side-effects handled separately through effect handlers. The framework helps developers build predictable, testable, and maintainable state management logic.
Android and JVM developers building applications that require complex state management with side-effects, especially those using RxJava or Kotlin Coroutines. It's ideal for teams prioritizing testability and separation of concerns in their architecture.
Developers choose Mobius for its clear separation of pure state updates from side-effects, excellent testability, and production-ready stability from Spotify. Its extensible design with platform-specific modules (Android, RxJava, Coroutines) allows flexible integration into existing tech stacks.
A functional reactive framework for managing state evolution and side-effects.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Includes a dedicated mobius-test module with utilities for verifying loop behavior, making unit tests straightforward and reliable, as highlighted in the README.
Enforces isolation of side-effects like network calls in effect handlers, keeping state updates pure and predictable, which is core to the framework's philosophy.
Offers modules for Android UIs, RxJava (versions 1-3), and Kotlin Coroutines, allowing flexible integration into existing JVM projects, as listed in the dependencies.
Used by Spotify in Android applications with stable APIs and no planned breaking changes, ensuring reliability for long-term projects.
Built for Java 7 to support older Android versions, resulting in duplicated functional interfaces and less modern code ergonomics, as admitted in the README.
Requires deep understanding of functional reactive programming and the Model-Update-Effect pattern, which can deter teams new to this architecture.
Demands defining models, events, effects, and handlers upfront, adding overhead for simpler applications or quick iterations compared to lighter state solutions.