# unicorn-engine/unicorn SLOC report

> As of 2026-09-17 (commit 7c5db94191de), unicorn-engine/unicorn contains 227,227 total lines: 177,560 code, 30,087 comments, 19,580 blank, across 517 files in 31 languages (top: C 39.2%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

unicorn-engine/unicorn has 177,560 source lines of code out of 227,227 total lines across 517 files, counted from the 7c5db94191defc1e04a4f66f4eb1220903cba837 ref at commit 7c5db94191de by the OctoCounts tokei engine on 2026-09-17. 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 unicorn-engine/unicorn to commit 7c5db94191de, 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 large codebase by counted code lines. Code represents 78.1% of all lines, comments represent 13.2%, and the repository averages 343 code lines per file. C accounts for 39.2% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| C | 98 | 94,561 | 69,572 | 14,659 | 10,330 |
| C Header | 186 | 64,355 | 51,955 | 8,793 | 3,607 |
| Shell | 6 | 9,693 | 9,001 | 375 | 317 |
| Python | 23 | 7,342 | 6,224 | 288 | 830 |
| Bitbake | 1 | 7,004 | 6,134 | 0 | 870 |
| Java | 38 | 6,200 | 4,520 | 1,340 | 340 |
| Go | 23 | 4,737 | 4,423 | 126 | 188 |
| Ruby | 21 | 4,883 | 4,241 | 264 | 378 |
| Zig | 14 | 4,450 | 4,093 | 147 | 210 |
| F# | 20 | 4,426 | 4,083 | 75 | 268 |
| Pascal | 12 | 4,481 | 3,783 | 489 | 209 |
| Rust | 7 | 2,787 | 2,470 | 31 | 286 |

Top language (C 39.2%). Generated at 2026-09-17T00:45:31.793434263+00:00. Canonical report: https://octocounts.com/github/unicorn-engine/unicorn

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/unicorn-engine/unicorn/commit/7c5db94191defc1e04a4f66f4eb1220903cba837?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).

## Report FAQ

### How many lines of code does unicorn-engine/unicorn have?

unicorn-engine/unicorn has 227,227 total lines, including 177,560 code lines, 30,087 comment lines, and 19,580 blank lines.

### How was the unicorn-engine/unicorn line count measured?

OctoCounts resolved the public GitHub repository to commit 7c5db94191de, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for unicorn-engine/unicorn?

This OctoCounts report was generated from 7c5db94191defc1e04a4f66f4eb1220903cba837 at commit 7c5db94191de on 2026-09-17T00:45:31.793434263+00:00.

## Similar repository reports

- [curl/curl](https://octocounts.com/github/curl/curl) — C, 181,213 code lines
- [milescoviello/OS-DEV](https://octocounts.com/github/milescoviello/OS-DEV) — C, 168,629 code lines
- [mackron/miniaudio](https://octocounts.com/github/mackron/miniaudio) — C, 167,086 code lines
- [kingToolbox/WindTerm](https://octocounts.com/github/kingToolbox/WindTerm) — C, 165,596 code lines
- [openssh/openssh-portable](https://octocounts.com/github/openssh/openssh-portable) — C, 165,012 code lines
- [SteamClientHomebrew/Millennium](https://octocounts.com/github/SteamClientHomebrew/Millennium) — C, 158,837 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)
- [Neovim vs VS Code](https://octocounts.com/compare/neovim-vs-vscode)
- [MongoDB vs PostgreSQL](https://octocounts.com/compare/mongodb-vs-postgres)
- [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)