# parsakhaz/open-ai-stylist SLOC report

> parsakhaz/open-ai-stylist: 14,164 code lines at commit 198fedb7d859, counted with tokei-14.0.0 on 2026-10-17. Saved result 53967640bd456834eb8273eb83a57051a7109ce616413d6723f4bbee5ee9ac4c.

parsakhaz/open-ai-stylist has 14,164 source lines of code out of 15,280 total lines across 58 files, counted from the 198fedb7d859bead825a004566f417b07c63cc6a ref at commit 198fedb7d859 by the OctoCounts tokei engine on 2026-10-17. 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 parsakhaz/open-ai-stylist to commit 198fedb7d859, 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 92.7% of all lines, comments represent 2.9%, and the repository averages 244 code lines per file. JSON accounts for 60.2% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 5 | 8,526 | 8,526 | 0 | 0 |
| TSX | 23 | 4,549 | 4,117 | 72 | 360 |
| TypeScript | 15 | 1,707 | 1,366 | 122 | 219 |
| CSS | 1 | 93 | 81 | 0 | 12 |
| SVG | 11 | 56 | 56 | 0 | 0 |
| JavaScript | 2 | 24 | 18 | 1 | 5 |
| Markdown | 1 | 325 | 0 | 251 | 74 |

Top language (JSON 60.2%). Generated at 2026-10-17T09:57:14.846118125Z. Canonical report: https://octocounts.com/github/parsakhaz/open-ai-stylist/commit/198fedb7d859bead825a004566f417b07c63cc6a?reportId=53967640bd456834eb8273eb83a57051a7109ce616413d6723f4bbee5ee9ac4c&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/parsakhaz/open-ai-stylist/commit/198fedb7d859bead825a004566f417b07c63cc6a?reportId=53967640bd456834eb8273eb83a57051a7109ce616413d6723f4bbee5ee9ac4c&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 parsakhaz/open-ai-stylist have?

parsakhaz/open-ai-stylist has 15,280 total lines, including 14,164 code lines, 446 comment lines, and 670 blank lines.

### How was the parsakhaz/open-ai-stylist line count measured?

OctoCounts resolved the public GitHub repository to commit 198fedb7d859, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for parsakhaz/open-ai-stylist?

This OctoCounts report was generated from 198fedb7d859bead825a004566f417b07c63cc6a at commit 198fedb7d859 on 2026-10-17T09:57:14.846118125Z.

## Similar repository reports

- [huanglizhuo/iPhoneDuoMock](https://octocounts.com/github/huanglizhuo/iPhoneDuoMock) — JSON, 14,268 code lines
- [huanglizhuo/globe-radio](https://octocounts.com/github/huanglizhuo/globe-radio) — JSON, 14,301 code lines
- [sunnypatell/sunnify-spotify-downloader](https://octocounts.com/github/sunnypatell/sunnify-spotify-downloader) — JSON, 14,316 code lines
- [takeyamayuki/NonMouse](https://octocounts.com/github/takeyamayuki/NonMouse) — JSON, 14,358 code lines
- [NikNebog/smartq_back](https://octocounts.com/github/NikNebog/smartq_back) — JSON, 13,960 code lines
- [songshikang0111/awesome-REA-cases](https://octocounts.com/github/songshikang0111/awesome-REA-cases) — JSON, 14,380 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)
- [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)