# Alamofire vs Moya: source lines of code compared

The Alamofire vs Moya comparison on OctoCounts shows side-by-side source line counts for Alamofire/Alamofire and Moya/Moya, counted with the same engine and analysis options on the dates shown in the methodology line: files, total lines, code lines, comment lines, blank lines, and per-language totals, pinned to the exact commits listed below.

As of 2026-08-26, Alamofire/Alamofire contains 50,312 total lines (27,119 code) across 129 files, while Moya/Moya contains 12,456 total lines (7,635 code) across 117 files as of 2026-08-26. Alamofire/Alamofire is about 3.6x the size of Moya/Moya by code lines. Code size is not code quality: a larger count only means more source material, not a better or worse project.

| Metric | [Alamofire/Alamofire](https://octocounts.com/github/Alamofire/Alamofire) | [Moya/Moya](https://octocounts.com/github/Moya/Moya) |
| --- | ---: | ---: |
| Files | 129 | 117 |
| Total lines | 50,312 | 12,456 |
| Code lines | 27,119 | 7,635 |
| Comment lines | 14,396 | 2,274 |
| Blank lines | 8,797 | 2,547 |
| Languages counted | 4 | 7 |

Top languages in Alamofire/Alamofire: Swift (98.1% of code), JSON (1.9% of code), Markdown (0.0% of code). Top languages in Moya/Moya: Swift (96.3% of code), Rakefile (1.9% of code), Shell (0.8% of code). Swift, JSON appear in both top language lists; Markdown, Plain Text appear only in Alamofire/Alamofire's top languages; Rakefile, Shell, C Header appear only in Moya/Moya's top languages.

Methodology: both counts come from cached OctoCounts reports generated with tokei. Alamofire/Alamofire was counted at ref master (commit 0455bfb65089) on 2026-08-26; Moya/Moya was counted at ref master (commit 24c26671a2f0) on 2026-08-26. See the [counting methodology](https://octocounts.com/docs/methodology) for ignored directories and analysis options.
## About this comparison

Alamofire/Alamofire counts the Alamofire repository: a Swift HTTP networking library with its request/response layer, serialization support, and documentation. Moya/Moya counts the Moya repository: a network abstraction layer built on top of Alamofire, adding typed endpoints and provider abstractions. The two are stacked rather than substitutes, and both counts were taken on the dates shown above.

Both repositories are written in Swift, and the per-language tables reflect that on both sides; this page compares two Swift libraries in related layers of the same networking stack.

Because Moya is built on Alamofire, an application using Moya also carries Alamofire's code at runtime; the two totals describe a dependency pair, not two independent choices.

_This is not a competitor comparison in the usual sense: Moya's stated purpose is to wrap and abstract Alamofire, so choosing between them is choosing a layer of the stack, not two alternatives._

Sources: [Alamofire/Alamofire repository](https://github.com/Alamofire/Alamofire) · [Moya/Moya repository](https://github.com/Moya/Moya). Statements verified 2026-09-16.

Evidence and next steps:

- [Alamofire/Alamofire SLOC report](https://octocounts.com/github/Alamofire/Alamofire)
- [Moya/Moya SLOC report](https://octocounts.com/github/Moya/Moya)
- [Compare Alamofire/Alamofire and Moya/Moya interactively](https://octocounts.com/compare?left=https%3A%2F%2Fgithub.com%2FAlamofire%2FAlamofire&right=https%3A%2F%2Fgithub.com%2FMoya%2FMoya)

Note: code size is not code quality. OctoCounts only reports reproducible line counts and makes no claim that either project is better.

## Compare FAQ

### Which has more lines of code, Alamofire/Alamofire or Moya/Moya?

Alamofire/Alamofire has more code: 27,119 code lines versus 7,635 for Moya/Moya, about 3.6x as much, based on cached OctoCounts reports as of 2026-08-26.

### Does more source lines of code mean more complexity?

Not necessarily. SLOC measures size, not complexity, quality, or maintainability. A larger codebase can mean more features, more generated or vendored code, more verbose language idioms, or more tests — none of which imply the code is harder to work with. Use SLOC to gauge the scale of what you'd be reading or maintaining, not as a quality signal for Alamofire/Alamofire, Moya/Moya, or any repository.

### How is this comparison calculated?

Methodology: both counts come from cached OctoCounts reports generated with tokei. Alamofire/Alamofire was counted at ref master (commit 0455bfb65089) on 2026-08-26; Moya/Moya was counted at ref master (commit 24c26671a2f0) on 2026-08-26. See the counting methodology for ignored directories and analysis options.

### Can I compare a different branch, tag, or commit?

Yes. This page shows the default branch for each repository. Use the interactive comparison tool to pick any public GitHub repository, branch, tag, or commit SHA for both sides and get a fresh side-by-side report.

## Related OctoCounts pages

- [Interactive repository comparison](https://octocounts.com/compare)
- [Recently analyzed repositories](https://octocounts.com/recent)
- [Popular SLOC reports](https://octocounts.com/popular)
- [Trending GitHub repositories](https://octocounts.com/trending)
- [Hall of Monoliths](https://octocounts.com/hall-of-monoliths)
- [Original research: how filtering changes SLOC counts](https://octocounts.com/research)
- [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter)
- [Counting methodology](https://octocounts.com/docs/methodology)
- [SLOC and code metrics glossary](https://octocounts.com/docs/glossary)
- [OctoCounts API docs](https://octocounts.com/docs/api)