# dvyukov/go-fuzz

Randomized testing for Go

Repository: https://github.com/dvyukov/go-fuzz
Canonical: https://ross.abutalabs.com/products/go-fuzz
Language: Go
License: Apache-2.0
License Family: permissive
Topics: fuzzing, testing, go
Last push: 2024-09-24T07:00:22+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": 4158, "days_push": 708, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4849, forks 276 (observed 2026-08-28T04:09:01.385968+00:00)

## What it is
go-fuzz is a coverage-guided fuzzing tool for testing Go packages with randomized inputs. It is mainly useful for hardening code that parses complex text or binary inputs, such as data accepted over a network.

## Use cases
- fuzz test a Go parser for crashes and panics
- harden a network-facing input parser against malicious data
- find hangs and memory blowups in Go deserialization code
- verify round-trip serialize/deserialize consistency in Go
- differential-test two Go implementations against the same inputs

## When to choose
- you need coverage-guided fuzzing for Go packages
- you want to test parsers of complex text or binary formats
- you are hardening code that accepts untrusted input

## When to avoid
- you are fuzzing non-Go code
- you want native Go 1.18+ built-in fuzzing support instead of a third-party tool
- you need to fuzz package main code

## Facets
- artifact type: library
- maturity: maintenance
- function: fuzzing, testing
- domain: testing, developer-tools
- platform: go, windows
- tags: coverage-guided-fuzzing, go-packages, randomized-testing, security-hardening, linux, macos

## Member repositories
- dvyukov/go-fuzz (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:01.385968+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 2026-08-29T18:18:25.436237+00:00, confidence not recorded.
  - readme: https://github.com/dvyukov/go-fuzz (fetched 2026-08-28T04:09:01.385968+00:00, sha 78a562c196cf)
- Data as of 2026-08-30T08:39:29.467469+00:00.