# protectai/modelscan SLOC report

> As of 2026-09-18 (commit 61fcec9c2a37), protectai/modelscan contains 3,504 total lines: 2,429 code, 393 comments, 682 blank, across 41 files in 5 languages (top: Python 90.4%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

protectai/modelscan has 2,429 source lines of code out of 3,504 total lines across 41 files, counted from the 61fcec9c2a37c24c1fb12d84ede30fe248a364bd ref at commit 61fcec9c2a37 by the OctoCounts tokei engine on 2026-09-18. 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 protectai/modelscan to commit 61fcec9c2a37, 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 small codebase by counted code lines. Code represents 69.3% of all lines, comments represent 11.2%, and the repository averages 59 code lines per file. Python accounts for 90.4% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 31 | 2,751 | 2,195 | 82 | 474 |
| Jupyter Notebooks | 4 | 260 | 127 | 81 | 52 |
| Makefile | 1 | 77 | 60 | 0 | 17 |
| TOML | 1 | 60 | 47 | 1 | 12 |
| Markdown | 4 | 356 | 0 | 229 | 127 |

Top language (Python 90.4%). Generated at 2026-09-18T05:27:21.636916724+00:00. Canonical report: https://octocounts.com/github/protectai/modelscan

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/protectai/modelscan/commit/61fcec9c2a37c24c1fb12d84ede30fe248a364bd?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 protectai/modelscan have?

protectai/modelscan has 3,504 total lines, including 2,429 code lines, 393 comment lines, and 682 blank lines.

### How was the protectai/modelscan line count measured?

OctoCounts resolved the public GitHub repository to commit 61fcec9c2a37, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for protectai/modelscan?

This OctoCounts report was generated from 61fcec9c2a37c24c1fb12d84ede30fe248a364bd at commit 61fcec9c2a37 on 2026-09-18T05:27:21.636916724+00:00.

## Similar repository reports

- [Wuyu-byte/feed-video-py](https://octocounts.com/github/Wuyu-byte/feed-video-py) — Python, 2,421 code lines
- [LittleNightSong/nbtlib](https://octocounts.com/github/LittleNightSong/nbtlib) — Python, 2,446 code lines
- [netease-youdao/Confucius4-R2T2](https://octocounts.com/github/netease-youdao/Confucius4-R2T2) — Python, 2,452 code lines
- [Hanyuyuan6/remote-gpu-trainer](https://octocounts.com/github/Hanyuyuan6/remote-gpu-trainer) — Python, 2,458 code lines
- [Tongyi-MAI/Z-Image](https://octocounts.com/github/Tongyi-MAI/Z-Image) — Python, 2,371 code lines
- [browser-use/jev-ultrafast](https://octocounts.com/github/browser-use/jev-ultrafast) — Python, 2,487 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)