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Dependency Injection in Android: Hilt vs. Koin

⏱️ 2 min read
Dependency Injection in Android: Hilt vs. Koin

💉 The DI Landscape

Dependency Injection (DI) is non-negotiable for scalable Android apps. But the battle between Hilt (Google’s official wrapper around Dagger) and Koin (Kotlin-first Service Locator) continues.

🏛️ Hilt (Dagger)

The giant. Built on compile-time code generation (KAPT / KSP).

Pros

  • Compile-time safety: Fails fast if a dependency is missing.
  • Performance: Zero reflection. Ideal for large apps.
  • Integration: Deep support for Android components (Activity, Fragment, ViewModel, Compose).
  • Testing: Makes swapping modules for tests straightforward.

Cons

  • Build Time: Annotation processing slows down builds.
  • Boilerplate: @Module, @InstallIn, @Provides.
  • Complexity: Debugging generated Dagger code is a nightmare.

🦄 Koin

The pragmatic choice. Pure Kotlin. No code generation.

Pros

  • Simplicity: Just a DSL. module { single { ... } }.
  • Build Speed: No annotation processing.
  • Kotlin Features: Reified types, DSLs.
  • Multiplatform: Koin works seamlessly in KMP (iOS, Desktop).

Cons

  • Runtime Safety: Crashes at runtime if dependency is missing (though verify() checks exist).
  • Performance: Slight startup overhead due to graph resolution at runtime (negligible in modern devices).

🆚 Benchmark 2025

FeatureHiltKoin
StartupInstantFast (~10ms)
Build TimeSlowFast
Learning CurveHighLow
SafetyCompile-timeRuntime (mostly)
KMP SupportNo (Dagger)Yes (Native)

🚀 When to Choose What

Choose Hilt if:

  • You are building a massive enterprise app with 100+ modules.
  • You need absolute compile-time guarantees.
  • You rely heavily on Google’s opinionated stack (Jetpack).

Choose Koin if:

  • You are building a startup MVP or mid-sized app.
  • You want fast iteration cycles.
  • You are targeting Kotlin Multiplatform (KMP).

🏁 Conclusion

Both are excellent. In 2025, Koin’s simplicity and KMP support make it the winner for most new projects. Hilt remains the standard for legacy/large teams.

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