# google/fuzzbench

FuzzBench - Fuzzer benchmarking as a service.

Repository: https://github.com/google/fuzzbench
Canonical: https://ross.abutalabs.com/products/fuzzbench
Homepage: https://google.github.io/fuzzbench/
Language: Python
License: Apache-2.0
License Family: permissive
Topics: fuzzing, benchmarking, benchmark-framework, evaluation, security
Last push: 2026-01-26T08:55:21+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 64, release rhythm 35, longevity 100
- inputs: {"age_days": 2403, "days_push": 219, "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 1205, forks 302 (observed 2026-08-28T04:03:59.146761+00:00)

## What it is
FuzzBench is a free Google-run service and framework that rigorously evaluates fuzzers on real-world benchmarks at large scale. It provides an API for integrating fuzzers, uses OSS-Fuzz projects as benchmarks, and generates reports with graphs and statistical tests.

## Use cases
- compare my fuzzer against AFL and libFuzzer
- benchmark fuzzing research on real-world projects
- evaluate fuzzer performance with statistical significance
- run large-scale fuzzing experiments
- integrate a new fuzzer into a benchmarking platform
- generate reports comparing fuzzers on OSS-Fuzz projects

## When to choose
- you need rigorous, statistically sound comparison of fuzzers
- you want to evaluate a fuzzer against real-world OSS-Fuzz targets
- you are a fuzzing researcher seeking community adoption of your fuzzer

## When to avoid
- you just want to find bugs in your own code rather than compare fuzzers
- you need a lightweight local fuzzing setup without large-scale experiments
- your target is not compatible with OSS-Fuzz-style benchmarks

## Facets
- artifact type: service
- maturity: active
- function: fuzzing, benchmarking, testing, security
- domain: security, developer-tools, testing
- platform: python, cloud
- tags: fuzzer-evaluation, oss-fuzz, statistical-analysis, coverage-guided-fuzzing, research-benchmarking, research, linux, docker

## Member repositories
- google/fuzzbench (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:59.146761+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 2026-08-30T06:19:25.485370+00:00, confidence not recorded.
  - readme: https://github.com/google/fuzzbench (fetched 2026-08-28T04:03:59.146761+00:00, sha 15ffa3e6799d)
  - homepage: https://google.github.io/fuzzbench/ (fetched 2026-08-29T12:27:10.079211+00:00, sha 3e8ebfcac191)
- Data as of 2026-08-30T08:39:29.467469+00:00.