As of 2026-08-26 (commit d57cecde92a6), huggingface/diffusers contains 898,783 total lines: 718,838 code, 64,002 comments, 115,943 blank, across 1,645 files in 10 languages (top: Python 99.8%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving huggingface/diffusers to commit d57cecde92a6, 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 80.0% of all lines, comments represent 7.1%, and the repository averages 437 code lines per file. Python accounts for 99.8% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 1463 | 883663 | 717559 | 54453 | 111651 |
| Jupyter Notebooks | 3 | 1011 | 715 | 113 | 183 |
| Dockerfile | 7 | 349 | 273 | 23 | 53 |
| Shell | 6 | 153 | 111 | 18 | 24 |
| YAML | 4 | 93 | 82 | 0 | 11 |
| Makefile | 1 | 107 | 60 | 14 | 33 |
| TOML | 2 | 45 | 26 | 8 | 11 |
| Autoconf | 2 | 12 | 12 | 0 | 0 |
| Markdown | 97 | 12631 | 0 | 8655 | 3976 |
| Plain Text | 60 | 719 | 0 | 718 | 1 |
Top language (Python 99.8%). Generated at 2026-08-26T18:20:14.204752500+00:00.
huggingface/diffusers has 898,783 total lines, including 718,838 code lines, 64,002 comment lines, and 115,943 blank lines.
OctoCounts resolved the public GitHub repository to commit d57cecde92a6, 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 d57cecde92a6 on 2026-08-26T18:20:14.204752500+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: