# huggingface/speech-to-speech SLOC report

> 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.

## Repository size insights

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 | 40,026 | 32,839 | 1,163 | 6,024 |
| JavaScript | 12 | 5,542 | 3,722 | 1,400 | 420 |
| CSS | 1 | 2,721 | 2,295 | 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 | 1,875 | 0 | 1,381 | 494 |
| Plain Text | 1 | 5 | 0 | 5 | 0 |

Top language (Python 83.2%). Generated at 2026-08-11T02:49:55.288131086+00:00. Canonical report: https://octocounts.com/github/huggingface/speech-to-speech

## Report FAQ

### How many lines of code does huggingface/speech-to-speech have?

huggingface/speech-to-speech has 50,847 total lines, including 39,485 code lines, 4,239 comment lines, and 7,123 blank lines.

### How was the huggingface/speech-to-speech line count measured?

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.

### What commit was counted for huggingface/speech-to-speech?

This OctoCounts report was generated from main at commit 0071d7d0be64 on 2026-08-11T02:49:55.288131086+00:00.

## Similar repository reports

- [MiaAI-Lab/DeepSeek-v4-Flash-DSpark-2x-DGX-Spark](https://octocounts.com/github/MiaAI-Lab/DeepSeek-v4-Flash-DSpark-2x-DGX-Spark) — Python, 39,235 code lines
- [RVC-Boss/GPT-SoVITS](https://octocounts.com/github/RVC-Boss/GPT-SoVITS) — Python, 38,981 code lines
- [berabuddies/agentflow](https://octocounts.com/github/berabuddies/agentflow) — Python, 38,658 code lines
- [Cinnamon/kotaemon](https://octocounts.com/github/Cinnamon/kotaemon) — Python, 40,809 code lines
- [abus-aikorea/voice-pro](https://octocounts.com/github/abus-aikorea/voice-pro) — Python, 40,902 code lines
- [GanyuanRan/Aegis](https://octocounts.com/github/GanyuanRan/Aegis) — Python, 37,948 code lines

## Related OctoCounts pages

- [Recently analyzed repositories](https://octocounts.com/recent)
- [Popular SLOC reports](https://octocounts.com/popular)
- [Trending GitHub repositories](https://octocounts.com/trending)
- [Hall of Monoliths](https://octocounts.com/hall-of-monoliths)
- [TensorFlow vs PyTorch](https://octocounts.com/compare/tensorflow-vs-pytorch)
- [Django vs Ruby on Rails](https://octocounts.com/compare/django-vs-rails)
- [Laravel vs Django](https://octocounts.com/compare/laravel-vs-django)
- [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter)
- [Counting methodology](https://octocounts.com/docs/methodology)
- [OctoCounts API docs](https://octocounts.com/docs/api)