# azahar-emu/azahar SLOC report

> As of 2026-10-11 (commit 5f3306d13cab), azahar-emu/azahar contains 494,619 total lines: 403,014 code, 39,642 comments, 51,963 blank, across 1,655 files in 19 languages (top: C Header 46.2%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

azahar-emu/azahar has 403,014 source lines of code out of 494,619 total lines across 1,655 files, counted from the master ref at commit 5f3306d13cab by the OctoCounts tokei engine on 2026-10-11. 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 azahar-emu/azahar to commit 5f3306d13cab, 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 81.5% of all lines, comments represent 8.0%, and the repository averages 244 code lines per file. C Header accounts for 46.2% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| C Header | 643 | 221,474 | 186,175 | 19,155 | 16,144 |
| C++ | 515 | 181,237 | 143,335 | 11,378 | 26,524 |
| Kotlin | 157 | 26,302 | 21,579 | 1,653 | 3,070 |
| XML | 207 | 23,349 | 21,030 | 797 | 1,522 |
| C++ Header | 6 | 25,169 | 17,728 | 4,382 | 3,059 |
| CMake | 49 | 5,875 | 4,678 | 634 | 563 |
| Bitbake | 12 | 4,619 | 4,169 | 128 | 322 |
| C | 2 | 3,028 | 2,884 | 80 | 64 |
| GLSL | 25 | 1,269 | 810 | 251 | 208 |
| Shell | 14 | 477 | 298 | 89 | 90 |
| Autoconf | 7 | 250 | 108 | 74 | 68 |
| Objective-C++ | 3 | 103 | 62 | 19 | 22 |

Top language (C Header 46.2%). Generated at 2026-10-11T03:32:07.374849578+00:00. Canonical report: https://octocounts.com/github/azahar-emu/azahar

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/azahar-emu/azahar/commit/5f3306d13cab40bbd5cf38f2cf3ae8b6e6eedca6?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=6e60c69d4e3ca35645f4ac922e841fed18238bc9d4fe34f8e612f4b78342b2b6).

## Report FAQ

### How many lines of code does azahar-emu/azahar have?

azahar-emu/azahar has 494,619 total lines, including 403,014 code lines, 39,642 comment lines, and 51,963 blank lines.

### How was the azahar-emu/azahar line count measured?

OctoCounts resolved the public GitHub repository to commit 5f3306d13cab, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for azahar-emu/azahar?

This OctoCounts report was generated from master at commit 5f3306d13cab on 2026-10-11T03:32:07.374849578+00:00.

## Similar repository reports

- [simdjson/simdjson](https://octocounts.com/github/simdjson/simdjson) — C Header, 347,052 code lines
- [houmo-ai/postmo-modelzoo](https://octocounts.com/github/houmo-ai/postmo-modelzoo) — C Header, 479,889 code lines
- [raysan5/raylib](https://octocounts.com/github/raysan5/raylib) — C Header, 505,397 code lines
- [maria-korosteleva/NvidiaWarp-GarmentCode](https://octocounts.com/github/maria-korosteleva/NvidiaWarp-GarmentCode) — C Header, 315,308 code lines
- [ChancenJ/TripleKey](https://octocounts.com/github/ChancenJ/TripleKey) — C Header, 284,919 code lines
- [TimeATronics/Zetla](https://octocounts.com/github/TimeATronics/Zetla) — C Header, 283,766 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)