As of 2026-09-01 (commit ddd16ad34459), mlx-node/mlx-node contains 543,294 total lines: 417,265 code, 79,793 comments, 46,236 blank, across 1,003 files in 16 languages (top: Rust 68.9%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving mlx-node/mlx-node to commit ddd16ad34459, 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 76.8% of all lines, comments represent 14.7%, and the repository averages 416 code lines per file. Rust accounts for 68.9% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Rust | 436 | 347452 | 287371 | 30901 | 29180 |
| TypeScript | 420 | 160657 | 104205 | 42343 | 14109 |
| C++ | 14 | 16765 | 12243 | 3097 | 1425 |
| TSX | 24 | 5094 | 4049 | 767 | 278 |
| Metal Shading Language | 5 | 3209 | 2362 | 508 | 339 |
| JavaScript | 8 | 2535 | 2181 | 224 | 130 |
| Bitbake | 20 | 1867 | 1866 | 0 | 1 |
| JSON | 41 | 1438 | 1438 | 0 | 0 |
| C Header | 4 | 1046 | 676 | 293 | 77 |
| Python | 3 | 472 | 355 | 52 | 65 |
| TOML | 8 | 384 | 248 | 69 | 67 |
| CSS | 1 | 251 | 203 | 37 | 11 |
Top language (Rust 68.9%). Generated at .
mlx-node/mlx-node has 543,294 total lines, including 417,265 code lines, 79,793 comment lines, and 46,236 blank lines.
OctoCounts resolved the public GitHub repository to commit ddd16ad34459, 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 ddd16ad34459 on 2026-09-01T07:03:28.089928773+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: