# protectai/vulnhuntr SLOC report

> As of 2026-08-02 (commit ead88c5adba4), protectai/vulnhuntr contains 2,052 total lines: 1,101 code, 720 comments, 231 blank, across 9 files in 5 languages (top: Python 97.5%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving protectai/vulnhuntr to commit ead88c5adba4, 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 53.7% of all lines, comments represent 35.1%, and the repository averages 122 code lines per file. Python accounts for 97.5% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 5 | 1,336 | 1,074 | 89 | 173 |
| TOML | 1 | 25 | 22 | 0 | 3 |
| Dockerfile | 1 | 7 | 5 | 0 | 2 |
| Markdown | 1 | 197 | 0 | 144 | 53 |
| Plain Text | 1 | 487 | 0 | 487 | 0 |

Top language (Python 97.5%). Generated at 2026-08-02T02:30:59.099085682+00:00. Canonical report: https://octocounts.com/github/protectai/vulnhuntr

## Report FAQ

### How many lines of code does protectai/vulnhuntr have?

protectai/vulnhuntr has 2,052 total lines, including 1,101 code lines, 720 comment lines, and 231 blank lines.

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

OctoCounts resolved the public GitHub repository to commit ead88c5adba4, 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/vulnhuntr?

This OctoCounts report was generated from main at commit ead88c5adba4 on 2026-08-02T02:30:59.099085682+00:00.

## Similar repository reports

- [Starlento/occ-visualizer](https://octocounts.com/github/Starlento/occ-visualizer) — Python, 1,100 code lines
- [nlp4musa/music-crs-baselines](https://octocounts.com/github/nlp4musa/music-crs-baselines) — Python, 1,104 code lines
- [MetaCubeX/mihomo](https://octocounts.com/github/MetaCubeX/mihomo) — Python, 1,095 code lines
- [metacubex/mihomo](https://octocounts.com/github/metacubex/mihomo) — Python, 1,095 code lines
- [oil-oil/beautify-github-readme](https://octocounts.com/github/oil-oil/beautify-github-readme) — Python, 1,121 code lines
- [karpathy/nanoGPT](https://octocounts.com/github/karpathy/nanoGPT) — Python, 1,137 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)
