# axboe/fio

Flexible I/O Tester

Repository: https://github.com/axboe/fio
Canonical: https://ross.abutalabs.com/products/fio
Language: C
License: GPL-2.0
License Family: copyleft
Last push: 2026-08-26T16:30:02+00:00

## Health v2 (maintenance only)
Score: 83/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 54, longevity 100
- inputs: {"age_days": 5063, "days_push": 7, "days_rel": 149, "gap_med": 123.0, "n_releases_24m": 5}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6345, forks 1429 (observed 2026-08-28T04:09:41.876193+00:00)

## What it is
Fio is a flexible I/O benchmarking and workload simulation tool that spawns threads or processes performing user-defined I/O patterns via job files. It was written by Jens Axboe to test storage performance and reproduce I/O bugs without writing custom test programs.

## Use cases
- benchmark disk or SSD throughput and latency
- simulate random and sequential read/write workloads
- reproduce storage I/O bugs with reproducible job files
- test filesystem and block layer performance under load
- measure effects of different I/O schedulers
- stress test storage with async I/O and multiple threads

## When to choose
- you need flexible, scriptable storage I/O benchmarking on Linux
- you want to simulate realistic application I/O patterns
- you are tuning or comparing storage hardware or filesystems

## When to avoid
- you need application-level or network benchmarking rather than I/O
- you want a simple GUI-based disk benchmark

## Facets
- artifact type: cli-tool
- maturity: stable
- function: benchmarking, testing
- domain: performance, developer-tools
- platform: cross-platform, cli
- tags: io-benchmark, storage-testing, workload-simulation, disk-performance, command-line, linux

## Member repositories
- axboe/fio (main) score 83

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:41.876193+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 2026-08-29T17:46:07.987701+00:00, confidence not recorded.
  - readme: https://github.com/axboe/fio (fetched 2026-08-28T04:09:41.876193+00:00, sha c7ff1e43dac4)
- Data as of 2026-08-30T08:39:29.467469+00:00.