# microsoft/VibeVoice SLOC report

> As of 2026-09-17 (commit 1541f590c709), microsoft/VibeVoice contains 20,376 total lines: 16,026 code, 1,640 comments, 2,710 blank, across 55 files in 8 languages (top: Python 96.3%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

microsoft/VibeVoice has 16,026 source lines of code out of 20,376 total lines across 55 files, counted from the 1541f590c7099820f10ea012f48d2399282df69f ref at commit 1541f590c709 by the OctoCounts tokei engine on 2026-09-17. 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 microsoft/VibeVoice to commit 1541f590c709, 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 78.7% of all lines, comments represent 8.0%, and the repository averages 291 code lines per file. Python accounts for 96.3% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 41 | 19,382 | 15,439 | 1,409 | 2,534 |
| JSON | 4 | 377 | 377 | 0 | 0 |
| HTML | 1 | 76 | 67 | 0 | 9 |
| Jupyter Notebooks | 1 | 84 | 63 | 10 | 11 |
| TOML | 1 | 56 | 49 | 1 | 6 |
| Shell | 1 | 48 | 31 | 6 | 11 |
| Markdown | 4 | 350 | 0 | 211 | 139 |
| Plain Text | 2 | 3 | 0 | 3 | 0 |

Top language (Python 96.3%). Generated at 2026-09-17T04:49:20.429321556+00:00. Canonical report: https://octocounts.com/github/microsoft/VibeVoice

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/microsoft/VibeVoice/commit/1541f590c7099820f10ea012f48d2399282df69f?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 microsoft/VibeVoice have?

microsoft/VibeVoice has 20,376 total lines, including 16,026 code lines, 1,640 comment lines, and 2,710 blank lines.

### How was the microsoft/VibeVoice line count measured?

OctoCounts resolved the public GitHub repository to commit 1541f590c709, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for microsoft/VibeVoice?

This OctoCounts report was generated from 1541f590c7099820f10ea012f48d2399282df69f at commit 1541f590c709 on 2026-09-17T04:49:20.429321556+00:00.

## Similar repository reports

- [huggingface/smolagents](https://octocounts.com/github/huggingface/smolagents) — Python, 16,123 code lines
- [aejion/4Diffusion](https://octocounts.com/github/aejion/4Diffusion) — Python, 16,347 code lines
- [pydantic/httpx2](https://octocounts.com/github/pydantic/httpx2) — Python, 16,371 code lines
- [SWE-agent/SWE-agent](https://octocounts.com/github/SWE-agent/SWE-agent) — Python, 15,681 code lines
- [facefusion/facefusion](https://octocounts.com/github/facefusion/facefusion) — Python, 15,512 code lines
- [ReturnFI/Blitz](https://octocounts.com/github/ReturnFI/Blitz) — Python, 16,590 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)