As of 2026-08-18 (commit 570b199e89e5), nashsu/llm_wiki contains 145,491 total lines: 124,867 code, 10,536 comments, 10,088 blank, across 418 files in 11 languages (top: TypeScript 42.0%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving nashsu/llm_wiki to commit 570b199e89e5, 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 85.8% of all lines, comments represent 7.2%, and the repository averages 299 code lines per file. TypeScript accounts for 42.0% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| TypeScript | 278 | 64731 | 52469 | 6435 | 5827 |
| Rust | 41 | 33285 | 30629 | 627 | 2029 |
| TSX | 61 | 22904 | 20704 | 962 | 1238 |
| JSON | 20 | 17448 | 17443 | 0 | 5 |
| JavaScript | 5 | 4079 | 3157 | 592 | 330 |
| CSS | 1 | 182 | 167 | 4 | 11 |
| Python | 1 | 175 | 151 | 3 | 21 |
| HTML | 2 | 80 | 71 | 0 | 9 |
| TOML | 1 | 85 | 57 | 21 | 7 |
| XML | 1 | 19 | 19 | 0 | 0 |
| Markdown | 7 | 2503 | 0 | 1892 | 611 |
Top language (TypeScript 42.0%). Generated at 2026-08-18T17:07:33.638696654+00:00.
nashsu/llm_wiki has 145,491 total lines, including 124,867 code lines, 10,536 comment lines, and 10,088 blank lines.
OctoCounts resolved the public GitHub repository to commit 570b199e89e5, 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 570b199e89e5 on 2026-08-18T17:07:33.638696654+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: