# vllm-project/vllm-metal SLOC report

> As of 2026-08-30 (commit 914c2162a66e), vllm-project/vllm-metal contains 43,244 total lines: 33,790 code, 4,230 comments, 5,224 blank, across 183 files in 8 languages (top: Python 82.1%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

vllm-project/vllm-metal has 33,790 source lines of code out of 43,244 total lines across 183 files, counted from the main ref at commit 914c2162a66e by the OctoCounts tokei engine on 2026-08-30. 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 vllm-project/vllm-metal to commit 914c2162a66e, 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 78.1% of all lines, comments represent 9.8%, and the repository averages 185 code lines per file. Python accounts for 82.1% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 150 | 34,084 | 27,758 | 2,137 | 4,189 |
| Metal Shading Language | 17 | 5,755 | 3,792 | 1,362 | 601 |
| C++ | 1 | 1,900 | 1,376 | 338 | 186 |
| Shell | 5 | 913 | 678 | 96 | 139 |
| TOML | 2 | 177 | 107 | 56 | 14 |
| YAML | 1 | 78 | 74 | 0 | 4 |
| Rust | 1 | 8 | 5 | 1 | 2 |
| Markdown | 6 | 329 | 0 | 240 | 89 |

Top language (Python 82.1%). Generated at 2026-08-30T23:52:51.110594189+00:00. Canonical report: https://octocounts.com/github/vllm-project/vllm-metal

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/vllm-project/vllm-metal/commit/914c2162a66e88ec316345a528a572ef005c4889?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 vllm-project/vllm-metal have?

vllm-project/vllm-metal has 43,244 total lines, including 33,790 code lines, 4,230 comment lines, and 5,224 blank lines.

### How was the vllm-project/vllm-metal line count measured?

OctoCounts resolved the public GitHub repository to commit 914c2162a66e, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for vllm-project/vllm-metal?

This OctoCounts report was generated from main at commit 914c2162a66e on 2026-08-30T23:52:51.110594189+00:00.

## Similar repository reports

- [benji-carr/SPDCallDashboard](https://octocounts.com/github/benji-carr/SPDCallDashboard) — Python, 33,823 code lines
- [can4hou6joeng4/boss-agent-cli](https://octocounts.com/github/can4hou6joeng4/boss-agent-cli) — Python, 32,772 code lines
- [google/agents-cli](https://octocounts.com/github/google/agents-cli) — Python, 35,436 code lines
- [NanmiCoder/MediaCrawler](https://octocounts.com/github/NanmiCoder/MediaCrawler) — Python, 31,885 code lines
- [Kizzuwatnaa/DLSS5-Autopilot](https://octocounts.com/github/Kizzuwatnaa/DLSS5-Autopilot) — Python, 30,940 code lines
- [huggingface/speech-to-speech](https://octocounts.com/github/huggingface/speech-to-speech) — Python, 30,793 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)