As of 2026-05-09 (commit 1e289582ed06), tracel-ai/burn contains 325,564 total lines: 262,940 code, 18,133 comments, 44,491 blank, across 1,862 files in 12 languages (top: Rust 98.1%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving tracel-ai/burn to commit 1e289582ed06, 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 80.8% of all lines, comments represent 5.6%, and the repository averages 141 code lines per file. Rust accounts for 98.1% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Rust | 1631 | 309388 | 257962 | 10473 | 40953 |
| TOML | 69 | 3676 | 2972 | 227 | 477 |
| Python | 30 | 2386 | 1629 | 217 | 540 |
| JSON | 2 | 134 | 134 | 0 | 0 |
| JavaScript | 1 | 175 | 115 | 46 | 14 |
| HTML | 2 | 88 | 70 | 9 | 9 |
| C++ | 2 | 33 | 30 | 0 | 3 |
| Shell | 2 | 41 | 16 | 16 | 9 |
| YAML | 1 | 13 | 12 | 1 | 0 |
| Jupyter Notebooks | 2 | 0 | 0 | 0 | 0 |
| Markdown | 113 | 9602 | 0 | 7116 | 2486 |
| Plain Text | 7 | 28 | 0 | 28 | 0 |
Top language (Rust 98.1%). Generated at 2026-05-09T15:06:17.229724264+00:00.
tracel-ai/burn has 325,564 total lines, including 262,940 code lines, 18,133 comment lines, and 44,491 blank lines.
OctoCounts resolved the public GitHub repository to commit 1e289582ed06, 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 1e289582ed06 on 2026-05-09T15:06:17.229724264+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: