# tomaz/appledoc

Objective-c code Apple style documentation set generator.

Repository: https://github.com/tomaz/appledoc
Canonical: https://ross.abutalabs.com/products/appledoc
Homepage: http://gentlebytes.com
Language: Objective-C
License Family: other
Last push: 2023-04-18T11:08:26+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 6340, "days_push": 1233, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license, no_readme
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4186, forks 645 (observed 2026-08-28T04:08:38.543417+00:00)

## What it is
appledoc is a command-line tool that generates Apple-style documentation from Objective-C source code comments, producing HTML pages and Xcode documentation sets. It parses specially formatted comments in source files to build API documentation.

## Use cases
- generate Apple-style API docs from Objective-C comments
- build Xcode docsets for an Objective-C library
- produce HTML documentation for an iOS framework
- document an Objective-C codebase for team onboarding
- integrate documentation generation into a build pipeline

## When to choose
- you maintain an Objective-C or Objective-C++ codebase and want Apple-style docs
- you need Xcode-installable documentation sets generated from source comments
- you want docs that stay in sync with inline code comments

## When to avoid
- your project is written in Swift (use Swift DocC instead)
- you need actively developed tooling with modern language support
- you need documentation for non-Apple platforms or non-Objective-C languages

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: documentation, cli, parser
- domain: developer-tools, documentation, apple-ecosystem
- platform: cli
- tags: objective-c, docsets, apple-docs, html-generation, source-comments, macos

## Member repositories
- tomaz/appledoc (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:38.543417+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 2026-08-29T18:22:38.021696+00:00, confidence not recorded.
  - homepage: http://gentlebytes.com (fetched 2026-08-29T09:13:05.184530+00:00, sha 494021d97864)
  - site_page: http://gentlebytes.com/contact (fetched 2026-08-29T09:13:05.193286+00:00, sha 7a1add642bd3)
- Data as of 2026-08-30T08:39:29.467469+00:00.