bytedance/memory-leak-detector
None observed · 2026-08-28
Health v2 · maintenance only
25/100
- Activity 5
- Release rhythm 8
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1967
- days_rel: n/a
- days_push: 572
- n_releases_24m: 0
Adoption not part of the score
1192 stars · 190 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
MemoryLeakDetector (Raphael) is a native memory leak monitoring library for Android apps, developed by ByteDance's Xigua video team. It hooks native allocations to track leaks, with simple integration, low overhead, and a Python tool for analyzing reports.
Use cases
- detect native memory leaks in android app
- monitor malloc leaks in native so libraries
- debug memory growth in android production
- analyze memory leak reports with symbols
- track native memory usage per process
When to choose
- you maintain an Android app with native (C/C++) components leaking memory
- you need low-overhead leak monitoring usable in production
- you want adb broadcast control to toggle monitoring remotely
When to avoid
- you need Java/Kotlin heap leak detection (use LeakCanary instead)
- your project is not Android
- you need iOS or desktop native memory profiling
Facets
library · maturity active
monitoring developer-tools mobile-development developer-tools performance cli memory-leak-detection native-memory android-debugging profiling android mobile
1 source
- readme: https://github.com/bytedance/memory-leak-detector · fetched 2026-08-28 · 729a111c9bab
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| bytedance/memory-leak-detector | main | 25 |
For agents
markdown · JSON · MCP: product_card(name="bytedance/memory-leak-detector")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem