# mvt-project/mvt SLOC report

> mvt-project/mvt: 20,510 code lines at commit f4bfc39c270e, counted with tokei-14.0.0 on 2026-10-21. Saved result aa2f7f20055794f7cf4093c1d09c1a0a7c9009f5bd104e9551915c65e4775db5.

mvt-project/mvt has 20,510 source lines of code out of 25,246 total lines across 165 files, counted from the main ref at commit f4bfc39c270e by the OctoCounts tokei engine on 2026-10-21. 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 mvt-project/mvt to commit f4bfc39c270e, 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 81.2% of all lines, comments represent 6.1%, and the repository averages 124 code lines per file. Python accounts for 90.6% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 154 | 23,029 | 18,574 | 1,360 | 3,095 |
| JSON | 2 | 1,521 | 1,521 | 0 | 0 |
| Protocol Buffers | 1 | 195 | 179 | 16 | 0 |
| TOML | 1 | 125 | 101 | 8 | 16 |
| YAML | 1 | 58 | 58 | 0 | 0 |
| Dockerfile | 1 | 65 | 51 | 7 | 7 |
| Makefile | 1 | 34 | 22 | 1 | 11 |
| Autoconf | 1 | 4 | 4 | 0 | 0 |
| Markdown | 3 | 215 | 0 | 152 | 63 |

Top language (Python 90.6%). Generated at 2026-10-21T02:49:46.740516180Z. Canonical report: https://octocounts.com/github/mvt-project/mvt/commit/f4bfc39c270e60c67f6a8cc6271a70f5dd188454?reportId=aa2f7f20055794f7cf4093c1d09c1a0a7c9009f5bd104e9551915c65e4775db5&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/mvt-project/mvt/commit/f4bfc39c270e60c67f6a8cc6271a70f5dd188454?reportId=aa2f7f20055794f7cf4093c1d09c1a0a7c9009f5bd104e9551915c65e4775db5&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 mvt-project/mvt have?

mvt-project/mvt has 25,246 total lines, including 20,510 code lines, 1,544 comment lines, and 3,192 blank lines.

### How was the mvt-project/mvt line count measured?

OctoCounts resolved the public GitHub repository to commit f4bfc39c270e, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for mvt-project/mvt?

This OctoCounts report was generated from main at commit f4bfc39c270e on 2026-10-21T02:49:46.740516180Z.

## Similar repository reports

- [coleifer/peewee](https://octocounts.com/github/coleifer/peewee) — Python, 20,590 code lines
- [AstrBotDevs/shipyard-neo](https://octocounts.com/github/AstrBotDevs/shipyard-neo) — Python, 20,430 code lines
- [sabbour/followcursor](https://octocounts.com/github/sabbour/followcursor) — Python, 20,326 code lines
- [tw93/Waza](https://octocounts.com/github/tw93/Waza) — Python, 20,718 code lines
- [zilliztech/memsearch](https://octocounts.com/github/zilliztech/memsearch) — Python, 20,263 code lines
- [vcvkk/extCLI](https://octocounts.com/github/vcvkk/extCLI) — Python, 20,782 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)