# alibaba/VideoMV SLOC report

> As of 2026-09-17 (commit c434922de00a), alibaba/VideoMV contains 13,065 total lines: 10,294 code, 985 comments, 1,786 blank, across 79 files in 6 languages (top: Python 89.5%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

alibaba/VideoMV has 10,294 source lines of code out of 13,065 total lines across 79 files, counted from the c434922de00a26e8010eb6be6b3466885c38e97b ref at commit c434922de00a by the OctoCounts tokei engine on 2026-09-17. 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 alibaba/VideoMV to commit c434922de00a, 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 78.8% of all lines, comments represent 7.5%, and the repository averages 130 code lines per file. Python accounts for 89.5% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 65 | 11,779 | 9,214 | 853 | 1,712 |
| JSON | 3 | 686 | 686 | 0 | 0 |
| YAML | 6 | 452 | 389 | 22 | 41 |
| Shell | 1 | 5 | 5 | 0 | 0 |
| Markdown | 1 | 94 | 0 | 61 | 33 |
| Plain Text | 3 | 49 | 0 | 49 | 0 |

Top language (Python 89.5%). Generated at 2026-09-17T00:19:48.011468255+00:00. Canonical report: https://octocounts.com/github/alibaba/VideoMV

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/alibaba/VideoMV/commit/c434922de00a26e8010eb6be6b3466885c38e97b?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 alibaba/VideoMV have?

alibaba/VideoMV has 13,065 total lines, including 10,294 code lines, 985 comment lines, and 1,786 blank lines.

### How was the alibaba/VideoMV line count measured?

OctoCounts resolved the public GitHub repository to commit c434922de00a, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for alibaba/VideoMV?

This OctoCounts report was generated from c434922de00a26e8010eb6be6b3466885c38e97b at commit c434922de00a on 2026-09-17T00:19:48.011468255+00:00.

## Similar repository reports

- [simonw/sqlite-utils](https://octocounts.com/github/simonw/sqlite-utils) — Python, 10,278 code lines
- [timzaak/web-dev-skills](https://octocounts.com/github/timzaak/web-dev-skills) — Python, 10,276 code lines
- [bcefghj/ai-agent-interview-guide](https://octocounts.com/github/bcefghj/ai-agent-interview-guide) — Python, 10,254 code lines
- [onlynor/vibemeter](https://octocounts.com/github/onlynor/vibemeter) — Python, 10,238 code lines
- [pytorch/examples](https://octocounts.com/github/pytorch/examples) — Python, 10,216 code lines
- [jquesnelle/yarn](https://octocounts.com/github/jquesnelle/yarn) — Python, 10,170 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)
