# cyberark/FuzzyAI SLOC report

> As of 2026-07-13 (commit 8184b9667a66), cyberark/FuzzyAI contains 32,999 total lines: 15,054 code, 13,180 comments, 4,765 blank, across 207 files in 8 languages (top: Python 59.8%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving cyberark/FuzzyAI to commit 8184b9667a66, 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 45.6% of all lines, comments represent 39.9%, and the repository averages 73 code lines per file. Python accounts for 59.8% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 187 | 11,254 | 9,009 | 261 | 1,984 |
| JSON | 2 | 4,293 | 4,293 | 0 | 0 |
| Jupyter Notebooks | 2 | 2,289 | 1,636 | 303 | 350 |
| TOML | 1 | 64 | 56 | 0 | 8 |
| INI | 1 | 67 | 46 | 0 | 21 |
| Shell | 2 | 26 | 14 | 6 | 6 |
| Markdown | 5 | 826 | 0 | 625 | 201 |
| Plain Text | 7 | 14,180 | 0 | 11,985 | 2,195 |

Top language (Python 59.8%). Generated at 2026-07-13T07:22:10.072040684+00:00. Canonical report: https://octocounts.com/github/cyberark/FuzzyAI

## Report FAQ

### How many lines of code does cyberark/FuzzyAI have?

cyberark/FuzzyAI has 32,999 total lines, including 15,054 code lines, 13,180 comment lines, and 4,765 blank lines.

### How was the cyberark/FuzzyAI line count measured?

OctoCounts resolved the public GitHub repository to commit 8184b9667a66, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for cyberark/FuzzyAI?

This OctoCounts report was generated from main at commit 8184b9667a66 on 2026-07-13T07:22:10.072040684+00:00.

## Similar repository reports

- [MTandHJ/freerec](https://octocounts.com/github/MTandHJ/freerec) — Python, 15,051 code lines
- [distrochooser/distrochooser](https://octocounts.com/github/distrochooser/distrochooser) — Python, 14,977 code lines
- [facefusion/facefusion](https://octocounts.com/github/facefusion/facefusion) — Python, 15,414 code lines
- [ai-infra-curriculum/ai-infra-engineer-learning](https://octocounts.com/github/ai-infra-curriculum/ai-infra-engineer-learning) — Python, 15,433 code lines
- [vwxyzjn/cleanrl](https://octocounts.com/github/vwxyzjn/cleanrl) — Python, 14,654 code lines
- [CloakHQ/cloakbrowser](https://octocounts.com/github/CloakHQ/cloakbrowser) — Python, 15,466 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)
