As of 2026-07-19 (commit b3a602b21341), ruijie-huachongwei/HiClaw contains 91,400 total lines: 63,320 code, 16,645 comments, 11,435 blank, across 399 files in 13 languages (top: Go 40.5%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving ruijie-huachongwei/HiClaw to commit b3a602b21341, 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 69.3% of all lines, comments represent 18.2%, and the repository averages 159 code lines per file. Go accounts for 40.5% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Go | 131 | 32917 | 25641 | 3737 | 3539 |
| Shell | 71 | 18368 | 13722 | 2726 | 1920 |
| Python | 26 | 10118 | 8259 | 716 | 1143 |
| JSON | 7 | 6922 | 6922 | 0 | 0 |
| YAML | 26 | 4313 | 4180 | 64 | 69 |
| PowerShell | 2 | 3529 | 2911 | 304 | 314 |
| Makefile | 2 | 870 | 697 | 72 | 101 |
| Dockerfile | 6 | 662 | 351 | 210 | 101 |
| Templ | 4 | 366 | 326 | 14 | 26 |
| Pan | 3 | 298 | 257 | 0 | 41 |
| TOML | 2 | 66 | 54 | 3 | 9 |
| Markdown | 118 | 12949 | 0 | 8786 | 4163 |
Top language (Go 40.5%). Generated at .
ruijie-huachongwei/HiClaw has 91,400 total lines, including 63,320 code lines, 16,645 comment lines, and 11,435 blank lines.
OctoCounts resolved the public GitHub repository to commit b3a602b21341, 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 b3a602b21341 on 2026-07-19T08:59:49.609766286+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: