# Blaizzy/mlx-audio SLOC report

> As of 2026-10-10 (commit e66ad2ff4eb9), Blaizzy/mlx-audio contains 195,307 total lines: 156,975 code, 10,223 comments, 28,109 blank, across 811 files in 12 languages (top: Python 97.1%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

Blaizzy/mlx-audio has 156,975 source lines of code out of 195,307 total lines across 811 files, counted from the main ref at commit e66ad2ff4eb9 by the OctoCounts tokei engine on 2026-10-10. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.

OctoCounts produced this report by resolving Blaizzy/mlx-audio to commit e66ad2ff4eb9, 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 large codebase by counted code lines. Code represents 80.4% of all lines, comments represent 5.2%, and the repository averages 194 code lines per file. Python accounts for 97.1% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 712 | 185,985 | 152,501 | 7,245 | 26,239 |
| TSX | 16 | 3,704 | 3,213 | 129 | 362 |
| JSON | 7 | 626 | 623 | 0 | 3 |
| TypeScript | 4 | 334 | 259 | 30 | 45 |
| YAML | 1 | 128 | 124 | 0 | 4 |
| CSS | 1 | 140 | 118 | 5 | 17 |
| TOML | 1 | 148 | 110 | 13 | 25 |
| Autoconf | 1 | 14 | 12 | 1 | 1 |
| JavaScript | 2 | 14 | 10 | 2 | 2 |
| INI | 1 | 5 | 5 | 0 | 0 |
| Markdown | 61 | 4,175 | 0 | 2,764 | 1,411 |
| Plain Text | 4 | 34 | 0 | 34 | 0 |

Top language (Python 97.1%). Generated at 2026-10-10T01:28:17.119631373+00:00. Canonical report: https://octocounts.com/github/Blaizzy/mlx-audio

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/Blaizzy/mlx-audio/commit/e66ad2ff4eb96ce1149000187b30370cbcd707aa?analysis=%7B%22ignoredDirs%22%3A%5B%5D%2C%22ignoredLanguages%22%3A%5B%5D%2C%22profile%22%3A%22default%22%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does Blaizzy/mlx-audio have?

Blaizzy/mlx-audio has 195,307 total lines, including 156,975 code lines, 10,223 comment lines, and 28,109 blank lines.

### How was the Blaizzy/mlx-audio line count measured?

OctoCounts resolved the public GitHub repository to commit e66ad2ff4eb9, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for Blaizzy/mlx-audio?

This OctoCounts report was generated from main at commit e66ad2ff4eb9 on 2026-10-10T01:28:17.119631373+00:00.

## Similar repository reports

- [MattiaRubino/dante](https://octocounts.com/github/MattiaRubino/dante) — Python, 158,476 code lines
- [openmc-dev/openmc](https://octocounts.com/github/openmc-dev/openmc) — Python, 155,472 code lines
- [trpc-group/trpc-agent-python](https://octocounts.com/github/trpc-group/trpc-agent-python) — Python, 155,237 code lines
- [Yamz-Labs/kyojin](https://octocounts.com/github/Yamz-Labs/kyojin) — Python, 160,308 code lines
- [livekit/agents](https://octocounts.com/github/livekit/agents) — Python, 161,632 code lines
- [openai/openai-agents-python](https://octocounts.com/github/openai/openai-agents-python) — Python, 152,163 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)
- [SLOC and code metrics glossary](https://octocounts.com/docs/glossary)
- [Original research: how filtering changes SLOC counts](https://octocounts.com/research)
- [OctoCounts API docs](https://octocounts.com/docs/api)
