# alexhude/uEmu

Tiny cute emulator plugin for IDA based on unicorn.

Repository: https://github.com/alexhude/uEmu
Canonical: https://ross.abutalabs.com/products/uemu
Language: Python
License Family: other
Last push: 2026-08-19T12:10:45+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 35, longevity 100
- inputs: {"age_days": 3312, "days_push": 14, "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 1235, forks 184 (observed 2026-08-28T04:04:04.951141+00:00)

## What it is
uEmu is an IDA Pro plugin built on the Unicorn engine that lets you emulate code directly inside the IDA disassembler. It supports x86, x64, ARM, ARM64, MIPS, and MIPS64, and is designed for emulating bare metal code and standalone functions.

## Use cases
- emulate embedded firmware in ida
- emulate bootloader code
- run a standalone function in ida pro
- emulate arm or mips code with unicorn
- debug firmware reverse engineering with cpu context
- trace instructions in ida with breakpoints

## When to choose
- you need to emulate bare metal code like bootloaders or firmware inside IDA
- you want to execute and inspect standalone functions during reverse engineering
- you work with x86, ARM, or MIPS binaries and use IDA Pro

## When to avoid
- you need to emulate complex OS code such as dynamic libraries or processes
- your target code makes many syscalls
- you do not use IDA Pro as your disassembler

## Facets
- artifact type: plugin
- maturity: active
- function: reverse-engineering, simulation, security, developer-tools
- domain: reverse-engineering, security, embedded-systems, developer-tools
- platform: windows, python
- tags: ida-plugin, unicorn-engine, emulation, firmware-analysis, disassembler-plugin, macos, linux

## Member repositories
- alexhude/uEmu (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:04.951141+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 2026-08-30T08:22:03.626317+00:00, confidence not recorded.
  - readme: https://github.com/alexhude/uEmu (fetched 2026-08-28T04:04:04.951141+00:00, sha 34c076460a76)
- Data as of 2026-08-30T08:39:29.467469+00:00.