# project-argusai/ArgusAI SLOC report

> project-argusai/ArgusAI: 185,835 code lines at commit 6ae6d1e0cc9a, counted with tokei-14.0.0 on 2026-10-13. Saved result 245d2886375cd8d55e65ff31624914e1422cda40730fa0cabdeb4bc55df2623c.

project-argusai/ArgusAI has 185,835 source lines of code out of 220,765 total lines across 721 files, counted from the main ref at commit 6ae6d1e0cc9a by the OctoCounts tokei engine on 2026-10-13. 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 project-argusai/ArgusAI to commit 6ae6d1e0cc9a, 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 84.2% of all lines, comments represent 6.4%, and the repository averages 258 code lines per file. Python accounts for 55.1% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 377 | 123,831 | 102,381 | 6,065 | 15,385 |
| TSX | 193 | 43,449 | 36,821 | 3,213 | 3,415 |
| JSON | 17 | 34,353 | 34,353 | 0 | 0 |
| TypeScript | 56 | 10,368 | 7,453 | 2,093 | 822 |
| Shell | 7 | 3,170 | 2,320 | 412 | 438 |
| YAML | 24 | 1,468 | 1,086 | 331 | 51 |
| JavaScript | 9 | 1,002 | 751 | 163 | 88 |
| CSS | 4 | 389 | 324 | 28 | 37 |
| SVG | 17 | 187 | 136 | 41 | 10 |
| Pan | 1 | 112 | 100 | 0 | 12 |
| Dockerfile | 2 | 166 | 64 | 62 | 40 |
| INI | 2 | 133 | 46 | 60 | 27 |
| Markdown | 8 | 1,958 | 0 | 1,466 | 492 |
| Plain Text | 4 | 179 | 0 | 145 | 34 |

Top language (Python 55.1%). Generated at 2026-10-13T10:33:03.779949362Z. Canonical report: https://octocounts.com/github/project-argusai/ArgusAI/commit/6ae6d1e0cc9af61380d0823b0e3f7950eb7c3769?reportId=245d2886375cd8d55e65ff31624914e1422cda40730fa0cabdeb4bc55df2623c&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/project-argusai/ArgusAI/commit/6ae6d1e0cc9af61380d0823b0e3f7950eb7c3769?reportId=245d2886375cd8d55e65ff31624914e1422cda40730fa0cabdeb4bc55df2623c&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 project-argusai/ArgusAI have?

project-argusai/ArgusAI has 220,765 total lines, including 185,835 code lines, 14,079 comment lines, and 20,851 blank lines.

### How was the project-argusai/ArgusAI line count measured?

OctoCounts resolved the public GitHub repository to commit 6ae6d1e0cc9a, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for project-argusai/ArgusAI?

This OctoCounts report was generated from main at commit 6ae6d1e0cc9a on 2026-10-13T10:33:03.779949362Z.

## Similar repository reports

- [tradermonty/claude-trading-skills](https://octocounts.com/github/tradermonty/claude-trading-skills) — Python, 184,970 code lines
- [HKUDS/LightRAG](https://octocounts.com/github/HKUDS/LightRAG) — Python, 177,807 code lines
- [foryourhealth111-pixel/Vibe-Skills](https://octocounts.com/github/foryourhealth111-pixel/Vibe-Skills) — Python, 195,120 code lines
- [tradecatlabs-yongsheng-tv/human_infra](https://octocounts.com/github/tradecatlabs-yongsheng-tv/human_infra) — Python, 196,541 code lines
- [AI-Riksarkivet/rask](https://octocounts.com/github/AI-Riksarkivet/rask) — Python, 196,808 code lines
- [confident-ai/deepeval](https://octocounts.com/github/confident-ai/deepeval) — Python, 174,837 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)