# opa334/Dopamine SLOC report

> opa334/Dopamine: 43,541 code lines at commit 13b267898429, counted with tokei-14.0.0 on 2026-10-21. Saved result 6b48cc12af96c767d49bc7504ec96b6e83f80d2f0c34d7113884acba4a480299.

opa334/Dopamine has 43,541 source lines of code out of 68,958 total lines across 504 files, counted from the 3.x ref at commit 13b267898429 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 opa334/Dopamine to commit 13b267898429, 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 63.1% of all lines, comments represent 22.9%, and the repository averages 86 code lines per file. C Header accounts for 35.6% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| C Header | 249 | 31,360 | 15,494 | 12,018 | 3,848 |
| C | 84 | 16,450 | 12,772 | 1,228 | 2,450 |
| Objective-C | 77 | 15,543 | 12,039 | 1,023 | 2,481 |
| Swift | 14 | 1,827 | 1,329 | 179 | 319 |
| JSON | 21 | 851 | 849 | 0 | 2 |
| Makefile | 21 | 560 | 419 | 8 | 133 |
| GNU Style Assembly | 7 | 331 | 264 | 24 | 43 |
| Alex | 5 | 240 | 205 | 0 | 35 |
| JavaScript | 1 | 159 | 125 | 8 | 26 |
| Shell | 5 | 51 | 45 | 0 | 6 |
| Markdown | 20 | 1,586 | 0 | 1,313 | 273 |

Top language (C Header 35.6%). Generated at 2026-10-21T03:51:13.671941312Z. Canonical report: https://octocounts.com/github/opa334/Dopamine/commit/13b26789842922cd4bd9fb5f30b3878d7e67ff0b?reportId=6b48cc12af96c767d49bc7504ec96b6e83f80d2f0c34d7113884acba4a480299&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/opa334/Dopamine/commit/13b26789842922cd4bd9fb5f30b3878d7e67ff0b?reportId=6b48cc12af96c767d49bc7504ec96b6e83f80d2f0c34d7113884acba4a480299&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 opa334/Dopamine have?

opa334/Dopamine has 68,958 total lines, including 43,541 code lines, 15,801 comment lines, and 9,616 blank lines.

### How was the opa334/Dopamine line count measured?

OctoCounts resolved the public GitHub repository to commit 13b267898429, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for opa334/Dopamine?

This OctoCounts report was generated from 3.x at commit 13b267898429 on 2026-10-21T03:51:13.671941312Z.

## Similar repository reports

- [Team-Zemo/ProjectAnant](https://octocounts.com/github/Team-Zemo/ProjectAnant) — C Header, 45,758 code lines
- [Chrohen/CG-2sem](https://octocounts.com/github/Chrohen/CG-2sem) — C Header, 57,623 code lines
- [phoenixthrush/Tiny-C-Compiler](https://octocounts.com/github/phoenixthrush/Tiny-C-Compiler) — C Header, 32,100 code lines
- [AngelAuraMC/Amethyst-iOS](https://octocounts.com/github/AngelAuraMC/Amethyst-iOS) — C Header, 59,415 code lines
- [exg/rxvt-unicode](https://octocounts.com/github/exg/rxvt-unicode) — C Header, 60,469 code lines
- [user23333/HyperVisorInjector](https://octocounts.com/github/user23333/HyperVisorInjector) — C Header, 63,848 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)
