# mmcloughlin/avo

Generate x86 Assembly with Go

Repository: https://github.com/mmcloughlin/avo
Canonical: https://ross.abutalabs.com/products/avo
Language: Go
License: BSD-3-Clause
License Family: permissive
Topics: go, golang, assembly, x86-64, code-generation
Last push: 2026-08-01T06:20:51+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 8, longevity 100
- inputs: {"age_days": 2859, "days_push": 32, "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 2989, forks 97 (observed 2026-08-28T04:07:34.454250+00:00)

## What it is
avo is a Go library for generating x86-64 assembly using Go programs, providing an assembly-like API with register allocation and automatic argument loading/stub generation. It makes high-performance Go assembly easier to write, review, and maintain via go:generate workflows.

## Use cases
- generate optimized x86-64 assembly for Go packages
- write high-performance SIMD kernels without hand-writing assembly
- avoid manual register allocation in Go assembly functions
- auto-generate Go stub files for assembly functions
- maintain cryptographic assembly like edwards25519

## When to choose
- you need hand-tuned x86-64 performance in a Go project
- you want assembly generation logic expressed as Go programs
- you want automatic register allocation and struct offset handling

## When to avoid
- you need assembly for non-x86 architectures
- you want a stable API without pinning versions
- you only need portable pure-Go performance

## Facets
- artifact type: library
- maturity: active
- function: compiler, developer-tools
- domain: developer-tools, programming-languages, performance
- platform: go, windows
- tags: assembly, x86-64, go-assembly, code-generation, register-allocation, simd, linux, macos

## Member repositories
- mmcloughlin/avo (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:34.454250+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 2026-08-29T18:47:27.323771+00:00, confidence not recorded.
  - readme: https://github.com/mmcloughlin/avo (fetched 2026-08-28T04:07:34.454250+00:00, sha 212099f97cc0)
- Data as of 2026-08-30T08:39:29.467469+00:00.