As of 2026-09-06 (commit 1631ed396565), ikstv/AvelRen contains 24,004 total lines: 18,545 code, 3,480 comments, 1,979 blank, across 124 files in 14 languages (top: Shell 50.5%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving ikstv/AvelRen to commit 1631ed396565, 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 77.3% of all lines, comments represent 14.5%, and the repository averages 150 code lines per file. Shell accounts for 50.5% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Shell | 27 | 11300 | 9368 | 1283 | 649 |
| Kotlin | 26 | 5499 | 4081 | 1010 | 408 |
| Python | 28 | 4867 | 3864 | 357 | 646 |
| SQL | 11 | 600 | 372 | 181 | 47 |
| HTML | 10 | 339 | 318 | 9 | 12 |
| YAML | 3 | 278 | 177 | 92 | 9 |
| XML | 7 | 138 | 113 | 17 | 8 |
| TOML | 2 | 98 | 75 | 14 | 9 |
| Batch | 1 | 94 | 73 | 0 | 21 |
| Prolog | 1 | 51 | 46 | 0 | 5 |
| JSON | 1 | 43 | 43 | 0 | 0 |
| Dockerfile | 1 | 47 | 15 | 25 | 7 |
Top language (Shell 50.5%). Generated at 2026-09-06T09:04:25.831117933+00:00.
ikstv/AvelRen has 24,004 total lines, including 18,545 code lines, 3,480 comment lines, and 1,979 blank lines.
OctoCounts resolved the public GitHub repository to commit 1631ed396565, 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 1631ed396565 on 2026-09-06T09:04:25.831117933+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: