As of 2026-08-11 (commit 0071d7d0be64), huggingface/speech-to-speech contains 50,847 total lines: 39,485 code, 4,239 comments, 7,123 blank, across 182 files in 12 languages (top: Python 83.2%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving huggingface/speech-to-speech to commit 0071d7d0be64, 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 medium-sized codebase by counted code lines. Code represents 77.7% of all lines, comments represent 8.3%, and the repository averages 217 code lines per file. Python accounts for 83.2% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 148 | 40026 | 32839 | 1163 | 6024 |
| JavaScript | 12 | 5542 | 3722 | 1400 | 420 |
| CSS | 1 | 2721 | 2295 | 274 | 152 |
| HTML | 1 | 408 | 386 | 13 | 9 |
| TOML | 1 | 139 | 127 | 0 | 12 |
| YAML | 1 | 69 | 67 | 0 | 2 |
| Dockerfile | 2 | 41 | 28 | 3 | 10 |
| SVG | 1 | 15 | 15 | 0 | 0 |
| Autoconf | 1 | 4 | 4 | 0 | 0 |
| INI | 1 | 2 | 2 | 0 | 0 |
| Markdown | 12 | 1875 | 0 | 1381 | 494 |
| Plain Text | 1 | 5 | 0 | 5 | 0 |
Top language (Python 83.2%). Generated at 2026-08-11T02:49:55.288131086+00:00.
huggingface/speech-to-speech has 50,847 total lines, including 39,485 code lines, 4,239 comment lines, and 7,123 blank lines.
OctoCounts resolved the public GitHub repository to commit 0071d7d0be64, 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 0071d7d0be64 on 2026-08-11T02:49:55.288131086+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: