# hect0x7/JMComic-Crawler-Python SLOC report

> As of 2026-08-25 (commit 9fddb0494caf), hect0x7/JMComic-Crawler-Python contains 12,979 total lines: 9,067 code, 1,546 comments, 2,366 blank, across 30 files in 4 languages (top: Python 98.4%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

hect0x7/JMComic-Crawler-Python has 9,067 source lines of code out of 12,979 total lines across 30 files, counted from the master ref at commit 9fddb0494caf by the OctoCounts tokei engine on 2026-08-25. 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 hect0x7/JMComic-Crawler-Python to commit 9fddb0494caf, 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 69.9% of all lines, comments represent 11.9%, and the repository averages 302 code lines per file. Python accounts for 98.4% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 20 | 11,577 | 8,923 | 655 | 1,999 |
| YAML | 4 | 129 | 104 | 9 | 16 |
| TOML | 1 | 44 | 40 | 0 | 4 |
| Markdown | 5 | 1,229 | 0 | 882 | 347 |

Top language (Python 98.4%). Generated at 2026-08-25T12:11:03.187922025+00:00. Canonical report: https://octocounts.com/github/hect0x7/JMComic-Crawler-Python

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/hect0x7/JMComic-Crawler-Python/commit/9fddb0494caf0cdc812ac6cbfc1c62f4f845b058?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 hect0x7/JMComic-Crawler-Python have?

hect0x7/JMComic-Crawler-Python has 12,979 total lines, including 9,067 code lines, 1,546 comment lines, and 2,366 blank lines.

### How was the hect0x7/JMComic-Crawler-Python line count measured?

OctoCounts resolved the public GitHub repository to commit 9fddb0494caf, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for hect0x7/JMComic-Crawler-Python?

This OctoCounts report was generated from master at commit 9fddb0494caf on 2026-08-25T12:11:03.187922025+00:00.

## Similar repository reports

- [YuanchenBei/ColdRec](https://octocounts.com/github/YuanchenBei/ColdRec) — Python, 9,027 code lines
- [tencent-hunyuan/hunyuan3d-2](https://octocounts.com/github/tencent-hunyuan/hunyuan3d-2) — Python, 9,134 code lines
- [Tencent-Hunyuan/Hunyuan3D-2](https://octocounts.com/github/Tencent-Hunyuan/Hunyuan3D-2) — Python, 9,134 code lines
- [espes/Slave-in-the-Magic-Mirror](https://octocounts.com/github/espes/Slave-in-the-Magic-Mirror) — Python, 8,901 code lines
- [poleHansen/baibaiAIGC](https://octocounts.com/github/poleHansen/baibaiAIGC) — Python, 9,300 code lines
- [Mitrichdfklwhcluio/MCUBFB](https://octocounts.com/github/Mitrichdfklwhcluio/MCUBFB) — Python, 8,818 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)
