# Acooldog/QQKWKG-TriMusicDecrypt SLOC report

> As of 2026-10-15 (commit 938b22dde5f4), Acooldog/QQKWKG-TriMusicDecrypt contains 15,904 total lines: 14,269 code, 223 comments, 1,412 blank, across 73 files in 7 languages (top: Python 65.2%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

Acooldog/QQKWKG-TriMusicDecrypt has 14,269 source lines of code out of 15,904 total lines across 73 files, counted from the main ref at commit 938b22dde5f4 by the OctoCounts tokei engine on 2026-10-15. 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 Acooldog/QQKWKG-TriMusicDecrypt to commit 938b22dde5f4, 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 89.7% of all lines, comments represent 1.4%, and the repository averages 195 code lines per file. Python accounts for 65.2% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 46 | 10,538 | 9,302 | 45 | 1,191 |
| JSON | 15 | 3,294 | 3,292 | 0 | 2 |
| JavaScript | 6 | 1,565 | 1,400 | 24 | 141 |
| C | 1 | 241 | 226 | 0 | 15 |
| PowerShell | 1 | 56 | 49 | 0 | 7 |
| Markdown | 3 | 185 | 0 | 129 | 56 |
| Plain Text | 1 | 25 | 0 | 25 | 0 |

Top language (Python 65.2%). Generated at 2026-10-15T09:24:35.002304805+00:00. Canonical report: https://octocounts.com/github/Acooldog/QQKWKG-TriMusicDecrypt

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/Acooldog/QQKWKG-TriMusicDecrypt/commit/938b22dde5f40490aa0cdac9698b14054d4b7241?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&reportId=d1ac8becef5c54f9743a55f616cc750b21761d4da5b8128baa464fea137bba6f).

## Report FAQ

### How many lines of code does Acooldog/QQKWKG-TriMusicDecrypt have?

Acooldog/QQKWKG-TriMusicDecrypt has 15,904 total lines, including 14,269 code lines, 223 comment lines, and 1,412 blank lines.

### How was the Acooldog/QQKWKG-TriMusicDecrypt line count measured?

OctoCounts resolved the public GitHub repository to commit 938b22dde5f4, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for Acooldog/QQKWKG-TriMusicDecrypt?

This OctoCounts report was generated from main at commit 938b22dde5f4 on 2026-10-15T09:24:35.002304805+00:00.

## Similar repository reports

- [Heavrnl/TelegramForwarder](https://octocounts.com/github/Heavrnl/TelegramForwarder) — Python, 14,313 code lines
- [harshsingh2275/ArthX](https://octocounts.com/github/harshsingh2275/ArthX) — Python, 14,075 code lines
- [tywr/Nordwand-Mono](https://octocounts.com/github/tywr/Nordwand-Mono) — Python, 14,466 code lines
- [google-research/harness2](https://octocounts.com/github/google-research/harness2) — Python, 13,992 code lines
- [vwxyzjn/cleanrl](https://octocounts.com/github/vwxyzjn/cleanrl) — Python, 14,654 code lines
- [jiji262/douyin-downloader](https://octocounts.com/github/jiji262/douyin-downloader) — Python, 13,848 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)