LiveData vs Flows

A modern mobile application is expected to be as reactive as possible, otherwise it will lag behind other apps and users won't find it attractive.
For this, the Kotlin team has provided many tools and APIs like Flows and LiveData.
If you develop Kotlin apps, you already know LiveData (otherwise, we'll judge you 😄). LiveData is a stream of data that lets developers implement a reactive flow between a producer (the class that emits data) and its consumers. But this definition also applies to StateFlow and SharedFlow — so what is the difference between them?

Initialization

The first difference is how we initialize both classes.
With LiveData, no initial value is required:
private val _myData = MutableLiveData<Int>()
Meanwhile, StateFlow requires an initial value:

private val _myData = MutableStateFlow<Int?>(null)
private val _myData = MutableStateFlow<Int>(0)

The examples above show a direct translation from LiveData to StateFlow — you either make the type nullable or provide a dummy initial value.

Lifecycle

The second difference is lifecycle awareness.
LiveData observers are tied to a Lifecycle object and clean up after themselves when their associated lifecycle is destroyed. If the observer is tied to an Activity or Fragment, it is automatically stopped when that Activity or Fragment is paused or destroyed — preventing memory leaks out of the box.

StateFlow observers, on the other hand, are not lifecycle-aware by default, meaning we as developers need to manage the observer's lifecycle manually. The recommended solution is to collect the StateFlow inside repeatOnLifecycle, which makes the collection lifecycle-aware and behaves similarly to a LiveData observer.

Happy Coding! 🤟