# ScottSloan/Bili23-Downloader SLOC report

> As of 2026-10-23 (commit 50594cd1f8ef), ScottSloan/Bili23-Downloader contains 81,345 total lines: 67,325 code, 3,327 comments, 10,693 blank, across 329 files in 13 languages (top: Python 79.6%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

ScottSloan/Bili23-Downloader has 67,325 source lines of code out of 81,345 total lines across 329 files, counted from the main ref at commit 50594cd1f8ef by the OctoCounts tokei engine on 2026-10-23. 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 ScottSloan/Bili23-Downloader to commit 50594cd1f8ef, 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 82.8% of all lines, comments represent 4.1%, and the repository averages 205 code lines per file. Python accounts for 79.6% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 243 | 66,548 | 53,580 | 2,685 | 10,283 |
| TypeScript | 2 | 11,704 | 11,600 | 0 | 104 |
| SVG | 70 | 964 | 960 | 4 | 0 |
| C++ | 1 | 1,117 | 787 | 223 | 107 |
| PowerShell | 1 | 176 | 95 | 49 | 32 |
| CMake | 1 | 123 | 83 | 20 | 20 |
| TOML | 1 | 123 | 70 | 39 | 14 |
| XML | 1 | 62 | 44 | 7 | 11 |
| C Header | 1 | 65 | 41 | 11 | 13 |
| Autoconf | 1 | 37 | 37 | 0 | 0 |
| HTML | 1 | 33 | 28 | 0 | 5 |
| Markdown | 5 | 385 | 0 | 281 | 104 |

Top language (Python 79.6%). Generated at 2026-10-23T09:29:47.161005113+00:00. Canonical report: https://octocounts.com/github/ScottSloan/Bili23-Downloader

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/ScottSloan/Bili23-Downloader/commit/50594cd1f8ef7fe6845826f2642c3ef90fcee804?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=3439855c323a3e4488ffad50b5c33f011837d37db4a0d403779627d0888f0be4).

## Report FAQ

### How many lines of code does ScottSloan/Bili23-Downloader have?

ScottSloan/Bili23-Downloader has 81,345 total lines, including 67,325 code lines, 3,327 comment lines, and 10,693 blank lines.

### How was the ScottSloan/Bili23-Downloader line count measured?

OctoCounts resolved the public GitHub repository to commit 50594cd1f8ef, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for ScottSloan/Bili23-Downloader?

This OctoCounts report was generated from main at commit 50594cd1f8ef on 2026-10-23T09:29:47.161005113+00:00.

## Similar repository reports

- [opendatalab/mineru](https://octocounts.com/github/opendatalab/mineru) — Python, 66,924 code lines
- [pymupdf/PyMuPDF](https://octocounts.com/github/pymupdf/PyMuPDF) — Python, 66,878 code lines
- [tirth8205/code-review-graph](https://octocounts.com/github/tirth8205/code-review-graph) — Python, 67,776 code lines
- [myfanhua/turb-gpt-free-register](https://octocounts.com/github/myfanhua/turb-gpt-free-register) — Python, 67,823 code lines
- [open-energy-transition/pypsa-eur](https://octocounts.com/github/open-energy-transition/pypsa-eur) — Python, 67,932 code lines
- [kaloscope/kaloscope](https://octocounts.com/github/kaloscope/kaloscope) — Python, 66,587 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)