As of 2026-09-12 (commit f3e356fc93d2), vastsa/PI-Desktop contains 223,129 total lines: 196,785 code, 12,891 comments, 13,453 blank, across 512 files in 13 languages (top: TypeScript 49.0%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving vastsa/PI-Desktop to commit f3e356fc93d2, 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 88.2% of all lines, comments represent 5.8%, and the repository averages 384 code lines per file. TypeScript accounts for 49.0% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| TypeScript | 299 | 109485 | 96434 | 7597 | 5454 |
| Rust | 37 | 40697 | 38135 | 582 | 1980 |
| TSX | 76 | 33495 | 30400 | 1557 | 1538 |
| CSS | 29 | 21173 | 17374 | 1144 | 2655 |
| YAML | 2 | 8477 | 7725 | 19 | 733 |
| JavaScript | 19 | 6054 | 5397 | 301 | 356 |
| JSON | 21 | 807 | 807 | 0 | 0 |
| Python | 2 | 252 | 198 | 22 | 32 |
| HTML | 5 | 164 | 163 | 0 | 1 |
| Shell | 3 | 152 | 103 | 18 | 31 |
| TOML | 2 | 55 | 49 | 0 | 6 |
| Markdown | 12 | 1934 | 0 | 1341 | 593 |
Top language (TypeScript 49.0%). Generated at .
vastsa/PI-Desktop has 223,129 total lines, including 196,785 code lines, 12,891 comment lines, and 13,453 blank lines.
OctoCounts resolved the public GitHub repository to commit f3e356fc93d2, 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 f3e356fc93d2 on 2026-09-12T04:39:50.064146273+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: