As of 2026-07-20 (commit 3520e0b27a78), loft-sh/vcluster contains 512,623 total lines: 482,465 code, 11,433 comments, 18,725 blank, across 934 files in 12 languages (top: XML 72.9%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving loft-sh/vcluster to commit 3520e0b27a78, 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 94.1% of all lines, comments represent 2.2%, and the repository averages 517 code lines per file. XML accounts for 72.9% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| XML | 18 | 351761 | 351761 | 0 | 0 |
| Go | 738 | 128107 | 102615 | 9057 | 16435 |
| YAML | 123 | 22834 | 20524 | 837 | 1473 |
| JSON | 2 | 6148 | 6148 | 0 | 0 |
| Pan | 9 | 702 | 674 | 0 | 28 |
| Shell | 11 | 630 | 486 | 48 | 96 |
| Just | 1 | 189 | 115 | 24 | 50 |
| Protocol Buffers | 2 | 121 | 89 | 3 | 29 |
| Dockerfile | 1 | 67 | 32 | 17 | 18 |
| Templ | 2 | 35 | 21 | 0 | 14 |
| Markdown | 26 | 2028 | 0 | 1446 | 582 |
| Plain Text | 1 | 1 | 0 | 1 | 0 |
Top language (XML 72.9%). Generated at 2026-07-20T13:21:10.047176889+00:00.
loft-sh/vcluster has 512,623 total lines, including 482,465 code lines, 11,433 comment lines, and 18,725 blank lines.
OctoCounts resolved the public GitHub repository to commit 3520e0b27a78, 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 3520e0b27a78 on 2026-07-20T13:21:10.047176889+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: