# jmpews/Dobby

a lightweight, multi-platform, multi-architecture hook framework.

Repository: https://github.com/jmpews/Dobby
Canonical: https://ross.abutalabs.com/products/dobby
Language: C++
License: Apache-2.0
License Family: permissive
Topics: hook, hook-framework
Last push: 2025-01-26T12:30:47+00:00

## Health v2 (maintenance only)
Score: 24/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 3, release rhythm 8, longevity 100
- inputs: {"age_days": 3317, "days_push": 584, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4813, forks 1090 (observed 2026-08-28T04:09:00.290094+00:00)

## What it is
Dobby is a lightweight, modular function hooking framework supporting multiple platforms (Windows, macOS, iOS, Android, Linux) and architectures (x86, x86-64, ARM, ARM64). It enables intercepting and replacing native function calls at runtime.

## Use cases
- hook native functions on iOS or Android apps
- intercept API calls for reverse engineering
- instrument native code at runtime for debugging
- patch function behavior in a running process
- build dynamic instrumentation tools like Frida

## When to choose
- you need cross-platform, multi-architecture function hooking in C/C++
- you want a minimal, embeddable hooking library without heavy dependencies
- you are doing mobile app security research or reverse engineering

## When to avoid
- you need a high-level dynamic instrumentation framework with scripting (use Frida)
- you only target a single platform and a simpler tool suffices
- you need hooks in managed/interpreted code rather than native code

## Facets
- artifact type: library
- maturity: active
- function: security, reverse-engineering, developer-tools
- domain: security, reverse-engineering, developer-tools
- platform: windows, cross-platform, cpp
- tags: hooking, inline-hook, function-hook, multi-architecture, arm64, x86, macos, ios, android, linux

## Member repositories
- jmpews/Dobby (main) score 24

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:00.290094+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 2026-08-29T18:18:35.197364+00:00, confidence not recorded.
  - readme: https://github.com/jmpews/Dobby (fetched 2026-08-28T04:09:00.290094+00:00, sha 04e37f1438ec)
- Data as of 2026-08-30T08:39:29.467469+00:00.