# mangowm/mango SLOC report

> As of 2026-09-16 (commit d4b1e49fcbfd), mangowm/mango contains 40,194 total lines: 33,648 code, 1,977 comments, 4,569 blank, across 100 files in 9 languages (top: C 86.5%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

mangowm/mango has 33,648 source lines of code out of 40,194 total lines across 100 files, counted from the d4b1e49fcbfd14e62acec4e9a0d895230f25da8f ref at commit d4b1e49fcbfd by the OctoCounts tokei engine on 2026-09-16. 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 mangowm/mango to commit d4b1e49fcbfd, 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 83.7% of all lines, comments represent 4.9%, and the repository averages 336 code lines per file. C accounts for 86.5% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| C | 41 | 34,315 | 29,097 | 1,317 | 3,901 |
| C Header | 43 | 3,645 | 2,875 | 293 | 477 |
| XML | 3 | 788 | 709 | 2 | 77 |
| Nix | 6 | 854 | 571 | 238 | 45 |
| Meson | 3 | 234 | 185 | 20 | 29 |
| Autoconf | 1 | 139 | 139 | 0 | 0 |
| Scheme | 1 | 78 | 71 | 3 | 4 |
| Shell | 1 | 3 | 1 | 1 | 1 |
| Markdown | 1 | 138 | 0 | 103 | 35 |

Top language (C 86.5%). Generated at 2026-09-16T19:21:14.302548022+00:00. Canonical report: https://octocounts.com/github/mangowm/mango

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/mangowm/mango/commit/d4b1e49fcbfd14e62acec4e9a0d895230f25da8f?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 mangowm/mango have?

mangowm/mango has 40,194 total lines, including 33,648 code lines, 1,977 comment lines, and 4,569 blank lines.

### How was the mangowm/mango line count measured?

OctoCounts resolved the public GitHub repository to commit d4b1e49fcbfd, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for mangowm/mango?

This OctoCounts report was generated from d4b1e49fcbfd14e62acec4e9a0d895230f25da8f at commit d4b1e49fcbfd on 2026-09-16T19:21:14.302548022+00:00.

## Similar repository reports

- [mirror/make](https://octocounts.com/github/mirror/make) — C, 33,182 code lines
- [genymobile/scrcpy](https://octocounts.com/github/genymobile/scrcpy) — C, 32,298 code lines
- [lua/lua](https://octocounts.com/github/lua/lua) — C, 36,021 code lines
- [sk3llo/ffmpeg_kit_flutter](https://octocounts.com/github/sk3llo/ffmpeg_kit_flutter) — C, 30,720 code lines
- [yshui/picom](https://octocounts.com/github/yshui/picom) — C, 28,881 code lines
- [uber/h3](https://octocounts.com/github/uber/h3) — C, 27,273 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)
