# utmapp/UTM SLOC report

> As of 2026-10-21 (commit 1c5e2150696c), utmapp/UTM contains 77,647 total lines: 60,735 code, 9,076 comments, 7,836 blank, across 396 files in 12 languages (top: Swift 82.4%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

utmapp/UTM has 60,735 source lines of code out of 77,647 total lines across 396 files, counted from the main ref at commit 1c5e2150696c by the OctoCounts tokei engine on 2026-10-21. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.

OctoCounts produced this report by resolving utmapp/UTM to commit 1c5e2150696c, downloading the repository source archive, and counting every source file with tokei, the open-source line counter written in Rust. The table below breaks the count down by programming language into files, total lines, code lines, comment lines, and blank lines, so the figures can be compared across languages and projects. Results are cached by commit, tokei version, and analysis options, so counting the same revision again reproduces exactly these numbers.

## Repository size insights

This is a medium-sized codebase by counted code lines. Code represents 78.2% of all lines, comments represent 11.7%, and the repository averages 153 code lines per file. Swift accounts for 82.4% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Swift | 241 | 61,757 | 50,035 | 6,066 | 5,656 |
| Objective-C | 34 | 7,042 | 5,479 | 668 | 895 |
| Shell | 9 | 2,309 | 1,979 | 152 | 178 |
| JSON | 29 | 1,684 | 1,684 | 0 | 0 |
| C Header | 40 | 1,654 | 709 | 647 | 298 |
| Python | 1 | 391 | 362 | 4 | 25 |
| C | 4 | 485 | 348 | 87 | 50 |
| SVG | 8 | 100 | 92 | 8 | 0 |
| XML | 2 | 26 | 26 | 0 | 0 |
| Xcode Config | 1 | 44 | 21 | 19 | 4 |
| Markdown | 26 | 2,147 | 0 | 1,421 | 726 |
| Plain Text | 1 | 8 | 0 | 4 | 4 |

Top language (Swift 82.4%). Generated at 2026-10-21T16:26:44.863474061+00:00. Canonical report: https://octocounts.com/github/utmapp/UTM

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/utmapp/UTM/commit/1c5e2150696cf86dc6e451212a8ad4555b2b63b2?analysis=%7B%22ignoredDirs%22%3A%5B%5D%2C%22ignoredLanguages%22%3A%5B%5D%2C%22profile%22%3A%22default%22%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22includeGenerated%22%3Afalse%7D&reportId=637e71b2aa3d7a278fda38b09e4ca4e423e1223329981cce675a7707c16b0045).

## Report FAQ

### How many lines of code does utmapp/UTM have?

utmapp/UTM has 77,647 total lines, including 60,735 code lines, 9,076 comment lines, and 7,836 blank lines.

### How was the utmapp/UTM line count measured?

OctoCounts resolved the public GitHub repository to commit 1c5e2150696c, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for utmapp/UTM?

This OctoCounts report was generated from main at commit 1c5e2150696c on 2026-10-21T16:26:44.863474061+00:00.

## Similar repository reports

- [iina/iina](https://octocounts.com/github/iina/iina) — Swift, 60,062 code lines
- [Saffsanity/sill](https://octocounts.com/github/Saffsanity/sill) — Swift, 63,574 code lines
- [sw33tLie/macshot](https://octocounts.com/github/sw33tLie/macshot) — Swift, 64,759 code lines
- [cclank/tokei](https://octocounts.com/github/cclank/tokei) — Swift, 66,516 code lines
- [kuaoaoaoao/CoolRun](https://octocounts.com/github/kuaoaoaoao/CoolRun) — Swift, 67,566 code lines
- [robbietilton/Compositor](https://octocounts.com/github/robbietilton/Compositor) — Swift, 54,197 code lines

## Related OctoCounts pages

- [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)
- [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)
- [Original research: how filtering changes SLOC counts](https://octocounts.com/research)
- [OctoCounts API docs](https://octocounts.com/docs/api)