# hect0x7/JMComic-Crawler-Python SLOC report

> hect0x7/JMComic-Crawler-Python: 10,765 code lines at commit 303904252f58, counted with tokei-14.0.0 on 2026-10-14. Saved result ef8e8d88ef71fa75cf245b11d0e1d15e0f30c0ac480856ee4f900cf174a5fd0b.

hect0x7/JMComic-Crawler-Python has 10,765 source lines of code out of 15,030 total lines across 31 files, counted from the master ref at commit 303904252f58 by the OctoCounts tokei engine on 2026-10-14. 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 303904252f58, 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 71.6% of all lines, comments represent 11.0%, and the repository averages 347 code lines per file. Python accounts for 98.6% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 21 | 13,537 | 10,613 | 710 | 2,214 |
| YAML | 4 | 127 | 102 | 9 | 16 |
| TOML | 1 | 55 | 50 | 0 | 5 |
| Markdown | 5 | 1,311 | 0 | 932 | 379 |

Top language (Python 98.6%). Generated at 2026-10-14T12:38:44.377105402Z. Canonical report: https://octocounts.com/github/hect0x7/JMComic-Crawler-Python/commit/303904252f586ef0123f468feac2b890c9cba8d8?reportId=ef8e8d88ef71fa75cf245b11d0e1d15e0f30c0ac480856ee4f900cf174a5fd0b&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/hect0x7/JMComic-Crawler-Python/commit/303904252f586ef0123f468feac2b890c9cba8d8?reportId=ef8e8d88ef71fa75cf245b11d0e1d15e0f30c0ac480856ee4f900cf174a5fd0b&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 hect0x7/JMComic-Crawler-Python have?

hect0x7/JMComic-Crawler-Python has 15,030 total lines, including 10,765 code lines, 1,651 comment lines, and 2,614 blank lines.

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

OctoCounts resolved the public GitHub repository to commit 303904252f58, 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 303904252f58 on 2026-10-14T12:38:44.377105402Z.

## Similar repository reports

- [leigangzhang/profession-system-rag](https://octocounts.com/github/leigangzhang/profession-system-rag) — Python, 10,700 code lines
- [QwenLM/Qwen3-VL](https://octocounts.com/github/QwenLM/Qwen3-VL) — Python, 10,881 code lines
- [PyCQA/isort](https://octocounts.com/github/PyCQA/isort) — Python, 10,611 code lines
- [rq/rq](https://octocounts.com/github/rq/rq) — Python, 10,939 code lines
- [hitrading/nodetdx](https://octocounts.com/github/hitrading/nodetdx) — Python, 10,576 code lines
- [slima4/claude-tui](https://octocounts.com/github/slima4/claude-tui) — Python, 10,576 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)