As of 2026-08-27 (commit 9d02bb08f896), basecamp/omarchy contains 86,146 total lines: 61,535 code, 12,118 comments, 12,493 blank, across 1,019 files in 17 languages (top: QML 43.6%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving basecamp/omarchy to commit 9d02bb08f896, 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.
This is a medium-sized codebase by counted code lines. Code represents 71.4% of all lines, comments represent 14.1%, and the repository averages 60 code lines per file. QML accounts for 43.6% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| QML | 96 | 33623 | 26855 | 2735 | 4033 |
| BASH | 438 | 30906 | 22229 | 3843 | 4834 |
| JavaScript | 30 | 4771 | 3795 | 369 | 607 |
| Shell | 172 | 4404 | 2846 | 910 | 648 |
| Pan | 17 | 2464 | 2165 | 132 | 167 |
| Lua | 73 | 1779 | 1210 | 333 | 236 |
| JSON | 63 | 1032 | 1032 | 0 | 0 |
| TOML | 29 | 964 | 711 | 87 | 166 |
| XML | 1 | 268 | 256 | 12 | 0 |
| Python | 3 | 306 | 249 | 0 | 57 |
| SVG | 9 | 88 | 88 | 0 | 0 |
| CSS | 1 | 64 | 39 | 17 | 8 |
Top language (QML 43.6%). Generated at .
basecamp/omarchy has 86,146 total lines, including 61,535 code lines, 12,118 comment lines, and 12,493 blank lines.
OctoCounts resolved the public GitHub repository to commit 9d02bb08f896, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
This OctoCounts report was generated from quattro at commit 9d02bb08f896 on 2026-08-27T12:25:06.975349051+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: