# RVC-Boss/GPT-SoVITS SLOC report

> RVC-Boss/GPT-SoVITS: 45,062 code lines at commit b4570b876f5c, counted with tokei-14.0.0 on 2026-10-23. Saved result ca203a98a8cc718e02451b8f7715bd4664ecdc2e96e78f568b7400cc1c19bcf9.

RVC-Boss/GPT-SoVITS has 45,062 source lines of code out of 56,294 total lines across 238 files, counted from the main ref at commit b4570b876f5c by the OctoCounts tokei engine on 2026-10-23. 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 RVC-Boss/GPT-SoVITS to commit b4570b876f5c, 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 80.0% of all lines, comments represent 6.8%, and the repository averages 189 code lines per file. Python accounts for 90.1% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 186 | 49,925 | 40,590 | 2,399 | 6,936 |
| JSON | 19 | 3,348 | 3,343 | 0 | 5 |
| Shell | 4 | 581 | 473 | 11 | 97 |
| YAML | 9 | 399 | 398 | 0 | 1 |
| PowerShell | 2 | 248 | 214 | 0 | 34 |
| Dockerfile | 1 | 60 | 38 | 0 | 22 |
| Batch | 1 | 6 | 6 | 0 | 0 |
| Jupyter Notebooks | 2 | 0 | 0 | 0 | 0 |
| Markdown | 6 | 845 | 0 | 555 | 290 |
| Plain Text | 8 | 882 | 0 | 849 | 33 |

Top language (Python 90.1%). Generated at 2026-10-23T05:11:43.249915952Z. Canonical report: https://octocounts.com/github/RVC-Boss/GPT-SoVITS/commit/b4570b876f5c086819ba84e3215472733c6a7b70?reportId=ca203a98a8cc718e02451b8f7715bd4664ecdc2e96e78f568b7400cc1c19bcf9&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/RVC-Boss/GPT-SoVITS/commit/b4570b876f5c086819ba84e3215472733c6a7b70?reportId=ca203a98a8cc718e02451b8f7715bd4664ecdc2e96e78f568b7400cc1c19bcf9&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does RVC-Boss/GPT-SoVITS have?

RVC-Boss/GPT-SoVITS has 56,294 total lines, including 45,062 code lines, 3,814 comment lines, and 7,418 blank lines.

### How was the RVC-Boss/GPT-SoVITS line count measured?

OctoCounts resolved the public GitHub repository to commit b4570b876f5c, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for RVC-Boss/GPT-SoVITS?

This OctoCounts report was generated from main at commit b4570b876f5c on 2026-10-23T05:11:43.249915952Z.

## Similar repository reports

- [OpenSourceAP/CrossSection](https://octocounts.com/github/OpenSourceAP/CrossSection) — Python, 45,110 code lines
- [VLADIX148/Chimera-nft-GPL-3.0](https://octocounts.com/github/VLADIX148/Chimera-nft-GPL-3.0) — Python, 45,185 code lines
- [mlco2/codecarbon](https://octocounts.com/github/mlco2/codecarbon) — Python, 45,378 code lines
- [simonw/datasette](https://octocounts.com/github/simonw/datasette) — Python, 44,568 code lines
- [kyegomez/zeta](https://octocounts.com/github/kyegomez/zeta) — Python, 45,864 code lines
- [SamuelBabbertResearch/childrens-media-analysis-toolkit](https://octocounts.com/github/SamuelBabbertResearch/childrens-media-analysis-toolkit) — Python, 45,886 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)
