
Dart Memory
- 181 installs
- 29 repo stars
- Updated July 10, 2026
- dhruvanbhalara/skills
Diagnose Dart heap growth, retained objects, image/cache leaks, and lifecycle mistakes before shipping Flutter builds that stutter, crash, or balloon on low-RAM devices.
About
Covers Dart and Flutter memory management: object lifecycles, weak references, disposal of controllers and subscriptions, cache bounds, and profiling workflows so mobile apps avoid OOM crashes, jank, and creeping RAM use in production.
- Heap retention and leak triage
- dispose/cancel lifecycle habits
- Image and cache sizing guidance
- Stream/subscription cleanup
- Release profiling on real devices
Dart Memory by the numbers
- 181 all-time installs (skills.sh)
- Ranked #478 of 1,039 Mobile Development skills by installs in the Skillselion catalog
- Data as of Jul 31, 2026 (Skillselion catalog sync)
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| Installs | 181 |
|---|---|
| repo stars | ★ 29 |
| Last updated | July 10, 2026 |
| Repository | dhruvanbhalara/skills ↗ |
What it does
Diagnose Dart heap growth, retained objects, image/cache leaks, and lifecycle mistakes before shipping Flutter builds that stutter, crash, or balloon on low-RAM devices.
Files
Memory Management
Mobile devices have limited RAM. Efficient memory management is critical to prevent crashes and ensure a smooth user experience.
Resource Lifecycle
- Explicit Disposal: Always close
StreamController,Timer,FocusNode, andChangeNotifierin thedispose()method. - Late Initialization: Use
lateto delay object creation until it's actually needed, reducing initial memory footprint.
Garbage Collection (GC) Pressure
- Generational GC: Dart's GC is optimized for short-lived objects. However, creating thousands of objects in a single frame can still cause jank.
- Object Re-use: Avoid creating new objects in
build()or high-frequency loops. Reuse data structures where possible. - Large Collections: Clearing a large list (
list.clear()) is better than re-assigning it to a new list if the list itself is long-lived.
Mobile Specifics
- Isolates: Use
Isolate.run()for heavy computations (JSON parsing > 1MB, image processing). This keeps the main thread free and prevents UI freezes. - Image Memory: Use
cacheWidthandcacheHeightinImage.networkorImage.assetto avoid loading high-resolution images into memory at full size. - Memory Leaks: Use the DevTools Memory View to identify "leaking" objects that stay in the heap after their context (like a screen) is closed.
Large Data Handling
- Pagination: Never load entire datasets into memory. Use server-side or local database pagination (Isar, SQLite).
- Streaming: For large files or real-time data, use
Streamto process data in chunks rather than buffering the entire content in memory.