# facebookarchive/FBMemoryProfiler

iOS tool that helps with profiling iOS Memory usage.

Repository: https://github.com/facebookarchive/FBMemoryProfiler
Canonical: https://ross.abutalabs.com/products/fbmemoryprofiler
Language: Objective-C
License: NOASSERTION
License Family: other
Archived: true
Last push: 2020-04-25T15:58:50+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3800, "days_push": 2321, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3383, forks 370 (observed 2026-08-28T04:07:58.684758+00:00)

## What it is
An iOS library by Facebook that provides in-app memory profiling tools, letting developers browse objects in memory over time using FBAllocationTracker and detect retain cycles with FBRetainCycleDetector. It presents a floating button UI that opens a full-screen profiler with generation tracking and plugin support.

## Use cases
- profile memory usage in an iOS app
- find retain cycles causing memory leaks
- browse objects in memory over time
- track allocations between generations
- debug memory leaks in Objective-C apps
- clean caches automatically when memory grows

## When to avoid
- you need profiling for Swift-only projects with modern tooling like Instruments or Xcode memory graph
- you need an actively maintained tool - the repo is archived
- you target Android or non-Apple platforms

## Facets
- artifact type: library
- maturity: maintenance
- function: monitoring, developer-tools, plugin-system
- domain: mobile-development, developer-tools, performance
- platform: cpp
- tags: memory-profiling, objective-c, retain-cycle-detection, debugging, facebook-archive, carthage, cocoapods, ios, mobile, swift

## Member repositories
- facebookarchive/FBMemoryProfiler (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:58.684758+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 2026-08-29T18:39:29.457769+00:00, confidence not recorded.
  - readme: https://github.com/facebookarchive/FBMemoryProfiler (fetched 2026-08-28T04:07:58.684758+00:00, sha 4ebfd70f6a9b)
- Data as of 2026-08-30T08:39:29.467469+00:00.