# Tencent/MLeaksFinder

Find memory leaks in your iOS app at develop time.

Repository: https://github.com/Tencent/MLeaksFinder
Canonical: https://ross.abutalabs.com/products/mleaksfinder
Language: Objective-C
License: NOASSERTION
License Family: other
Last push: 2023-09-11T06:19:55+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3915, "days_push": 1087, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5433, forks 943 (observed 2026-08-28T04:09:18.085821+00:00)

## What it is
MLeaksFinder is an iOS library that automatically detects memory leaks in UIView and UIViewController objects at development time, alerting with the leaked object's view stack. It can be extended to check other objects and optionally integrate FBRetainCycleDetector.

## Use cases
- find memory leaks in ios app
- detect leaked view controllers during development
- debug retain cycles in objective-c
- alert when uiview not deallocated
- extend leak detection to view models

## When to choose
- developing iOS apps in Objective-C/Swift and want zero-code leak detection
- want alerts pinpointing the leaked object in the view stack

## When to avoid
- need leak detection on Android or other platforms
- want retain cycle detection out of the box without extra setup
- project requires a permissive license (license is non-standard)

## Facets
- artifact type: library
- maturity: maintenance
- function: testing, monitoring
- domain: mobile-development, developer-tools
- platform: -
- tags: memory-leak-detection, objective-c, cocoa, debugging, ios

## Member repositories
- Tencent/MLeaksFinder (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:18.085821+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:56:53.198267+00:00, confidence not recorded.
  - readme: https://github.com/Tencent/MLeaksFinder (fetched 2026-08-28T04:09:18.085821+00:00, sha efdd41a6bf3f)
- Data as of 2026-08-30T08:39:29.467469+00:00.