# LiiVon/perf_monitor SLOC report

> LiiVon/perf_monitor: 190,221 code lines at commit aba0d43b94d8, counted with tokei-14.0.0 on 2026-10-19. Saved result 39b8f52f48b1348eba5348efccb5183c611045c266a71513ddfb7754b5858ec8.

LiiVon/perf_monitor has 190,221 source lines of code out of 223,460 total lines across 67 files, counted from the aba0d43b94d8dee2a650572c236ff1c84cb96bfe ref at commit aba0d43b94d8 by the OctoCounts tokei engine on 2026-10-19. 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 LiiVon/perf_monitor to commit aba0d43b94d8, 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 85.1% of all lines, comments represent 3.1%, and the repository averages 2,839 code lines per file. C Header accounts for 87.1% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| C Header | 23 | 189,337 | 165,726 | 1,306 | 22,305 |
| C++ Header | 1 | 24,765 | 17,452 | 4,342 | 2,971 |
| C++ | 20 | 6,381 | 5,335 | 386 | 660 |
| C | 5 | 908 | 713 | 92 | 103 |
| Protocol Buffers | 8 | 662 | 526 | 69 | 67 |
| CMake | 5 | 341 | 229 | 57 | 55 |
| SQL | 1 | 213 | 171 | 34 | 8 |
| Makefile | 2 | 121 | 69 | 23 | 29 |
| Markdown | 2 | 732 | 0 | 617 | 115 |

Top language (C Header 87.1%). Generated at 2026-10-19T01:58:53.137539364Z. Canonical report: https://octocounts.com/github/LiiVon/perf_monitor/commit/aba0d43b94d8dee2a650572c236ff1c84cb96bfe?reportId=39b8f52f48b1348eba5348efccb5183c611045c266a71513ddfb7754b5858ec8&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/LiiVon/perf_monitor/commit/aba0d43b94d8dee2a650572c236ff1c84cb96bfe?reportId=39b8f52f48b1348eba5348efccb5183c611045c266a71513ddfb7754b5858ec8&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does LiiVon/perf_monitor have?

LiiVon/perf_monitor has 223,460 total lines, including 190,221 code lines, 6,926 comment lines, and 26,313 blank lines.

### How was the LiiVon/perf_monitor line count measured?

OctoCounts resolved the public GitHub repository to commit aba0d43b94d8, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for LiiVon/perf_monitor?

This OctoCounts report was generated from aba0d43b94d8dee2a650572c236ff1c84cb96bfe at commit aba0d43b94d8 on 2026-10-19T01:58:53.137539364Z.

## Similar repository reports

- [aardappel/goose](https://octocounts.com/github/aardappel/goose) — C Header, 177,309 code lines
- [PufferAI/PufferLib](https://octocounts.com/github/PufferAI/PufferLib) — C Header, 173,912 code lines
- [murangogo/MoeTranslate](https://octocounts.com/github/murangogo/MoeTranslate) — C Header, 247,523 code lines
- [erincatto/box3d](https://octocounts.com/github/erincatto/box3d) — C Header, 138,476 code lines
- [ryantpayton/MapleStory-Client](https://octocounts.com/github/ryantpayton/MapleStory-Client) — C Header, 134,235 code lines
- [SFML/SFML](https://octocounts.com/github/SFML/SFML) — C Header, 271,827 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)
