As of 2026-06-02 (commit 9ed85fa95b93), ZacSweers/metro contains 227,211 total lines: 153,686 code, 44,580 comments, 28,945 blank, across 1,799 files in 17 languages (top: Kotlin 79.7%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving ZacSweers/metro to commit 9ed85fa95b93, 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 large codebase by counted code lines. Code represents 67.6% of all lines, comments represent 19.6%, and the repository averages 85 code lines per file. Kotlin accounts for 79.7% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Kotlin | 1355 | 156229 | 122480 | 17228 | 16521 |
| JSON | 5 | 11083 | 11083 | 0 | 0 |
| Java | 8 | 11811 | 9862 | 86 | 1863 |
| Shell | 35 | 11538 | 8225 | 1776 | 1537 |
| Python | 1 | 774 | 585 | 61 | 128 |
| Batch | 5 | 410 | 320 | 0 | 90 |
| BASH | 2 | 374 | 280 | 38 | 56 |
| XML | 17 | 268 | 241 | 9 | 18 |
| TOML | 1 | 215 | 172 | 13 | 30 |
| YAML | 2 | 172 | 139 | 25 | 8 |
| Jupyter Notebooks | 1 | 154 | 89 | 39 | 26 |
| SVG | 1 | 73 | 72 | 1 | 0 |
Top language (Kotlin 79.7%). Generated at .
ZacSweers/metro has 227,211 total lines, including 153,686 code lines, 44,580 comment lines, and 28,945 blank lines.
OctoCounts resolved the public GitHub repository to commit 9ed85fa95b93, 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 main at commit 9ed85fa95b93 on 2026-06-02T01:35:42.359024421+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: