# ygyang11/Arktor SLOC report

> As of 2026-09-16 (commit 35c17d2f09ff), ygyang11/Arktor contains 33,580 total lines: 27,279 code, 1,131 comments, 5,170 blank, across 226 files in 4 languages (top: Python 99.4%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

ygyang11/Arktor has 27,279 source lines of code out of 33,580 total lines across 226 files, counted from the 35c17d2f09ff1897c301c5c2c5d77cf9eba98e98 ref at commit 35c17d2f09ff by the OctoCounts tokei engine on 2026-09-16. 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 ygyang11/Arktor to commit 35c17d2f09ff, 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 81.2% of all lines, comments represent 3.4%, and the repository averages 121 code lines per file. Python accounts for 99.4% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 220 | 32,339 | 27,112 | 419 | 4,808 |
| TOML | 1 | 113 | 99 | 0 | 14 |
| YAML | 1 | 110 | 68 | 29 | 13 |
| Markdown | 4 | 1,018 | 0 | 683 | 335 |

Top language (Python 99.4%). Generated at 2026-09-16T22:59:47.330901781+00:00. Canonical report: https://octocounts.com/github/ygyang11/Arktor

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/ygyang11/Arktor/commit/35c17d2f09ff1897c301c5c2c5d77cf9eba98e98?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 ygyang11/Arktor have?

ygyang11/Arktor has 33,580 total lines, including 27,279 code lines, 1,131 comment lines, and 5,170 blank lines.

### How was the ygyang11/Arktor line count measured?

OctoCounts resolved the public GitHub repository to commit 35c17d2f09ff, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for ygyang11/Arktor?

This OctoCounts report was generated from 35c17d2f09ff1897c301c5c2c5d77cf9eba98e98 at commit 35c17d2f09ff on 2026-09-16T22:59:47.330901781+00:00.

## Similar repository reports

- [hetznercloud/hcloud-python](https://octocounts.com/github/hetznercloud/hcloud-python) — Python, 27,180 code lines
- [RoboVIP/RoboVIP_VDM](https://octocounts.com/github/RoboVIP/RoboVIP_VDM) — Python, 26,968 code lines
- [lij768423-svg/grok-register-panel](https://octocounts.com/github/lij768423-svg/grok-register-panel) — Python, 26,960 code lines
- [kaifcodec/user-scanner](https://octocounts.com/github/kaifcodec/user-scanner) — Python, 27,804 code lines
- [hikariatama/hikka](https://octocounts.com/github/hikariatama/hikka) — Python, 26,746 code lines
- [meta-pytorch/opacus](https://octocounts.com/github/meta-pytorch/opacus) — Python, 26,651 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)
