# attaswift/Attabench

Microbenchmarking app for Swift with nice log-log plots

Repository: https://github.com/attaswift/Attabench
Canonical: https://ross.abutalabs.com/products/attabench
Language: Swift
License: MIT
License Family: permissive
Topics: swift, benchmark, microbenchmarks, macos, app
Last push: 2022-02-23T10:16:55+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3476, "days_push": 1652, "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 1273, forks 45 (observed 2026-08-28T04:04:12.682500+00:00)

## What it is
Attabench is a macOS microbenchmarking application for Swift that measures the performance of low-level algorithms across varying input sizes and charts results in log-log plots. It has been largely superseded by Apple's swift-collections-benchmark package.

## Use cases
- benchmark swift algorithm performance across input sizes
- visualize microbenchmark results as log-log plots
- compare performance of data structure implementations
- generate performance charts for a book or talk
- measure how an operation scales with data size

## When to choose
- you need to microbenchmark Swift code on macOS with visual log-log charts
- you want a quick, interactive GUI for exploring algorithm scaling behavior

## When to avoid
- you need cross-platform Swift benchmarking - use swift-collections-benchmark instead
- you need CI-integrated or automated benchmarking
- you need a maintained, actively developed tool

## Facets
- artifact type: application
- maturity: maintenance
- function: benchmarking, data-visualization, charts
- domain: developer-tools, performance, data-visualization, operating-systems
- platform: -
- tags: microbenchmarking, log-log-plots, swift-collections, core-graphics, superseded, macos, swift, desktop

## Member repositories
- attaswift/Attabench (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:12.682500+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 2026-08-30T05:03:12.503462+00:00, confidence not recorded.
  - readme: https://github.com/attaswift/Attabench (fetched 2026-08-28T04:04:12.682500+00:00, sha bd798bb387a3)
- Data as of 2026-08-30T08:39:29.467469+00:00.