# smol-machines/smolvm SLOC report

> As of 2026-09-11 (commit 8dd8b18d911a), smol-machines/smolvm contains 191,980 total lines: 158,233 code, 17,745 comments, 16,002 blank, across 374 files in 14 languages (top: Rust 93.8%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

smol-machines/smolvm has 158,233 source lines of code out of 191,980 total lines across 374 files, counted from the 8dd8b18d911a8078690c7121d270f45be8f3c217 ref at commit 8dd8b18d911a by the OctoCounts tokei engine on 2026-09-11. 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 smol-machines/smolvm to commit 8dd8b18d911a, 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 large codebase by counted code lines. Code represents 82.4% of all lines, comments represent 9.2%, and the repository averages 423 code lines per file. Rust accounts for 93.8% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Rust | 217 | 174,995 | 148,396 | 12,526 | 14,073 |
| Shell | 43 | 5,925 | 3,966 | 1,361 | 598 |
| Python | 14 | 2,062 | 1,805 | 51 | 206 |
| JSON | 18 | 1,412 | 1,412 | 0 | 0 |
| TypeScript | 20 | 1,580 | 1,093 | 291 | 196 |
| TOML | 21 | 843 | 657 | 98 | 88 |
| Nix | 4 | 487 | 406 | 33 | 48 |
| HTML | 7 | 179 | 172 | 0 | 7 |
| C | 1 | 200 | 146 | 30 | 24 |
| YAML | 3 | 140 | 89 | 48 | 3 |
| Pacman's makepkg | 1 | 87 | 67 | 14 | 6 |
| CSS | 1 | 24 | 24 | 0 | 0 |

Top language (Rust 93.8%). Generated at 2026-09-11T00:30:34.600748167+00:00. Canonical report: https://octocounts.com/github/smol-machines/smolvm

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/smol-machines/smolvm/commit/8dd8b18d911a8078690c7121d270f45be8f3c217?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 smol-machines/smolvm have?

smol-machines/smolvm has 191,980 total lines, including 158,233 code lines, 17,745 comment lines, and 16,002 blank lines.

### How was the smol-machines/smolvm line count measured?

OctoCounts resolved the public GitHub repository to commit 8dd8b18d911a, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for smol-machines/smolvm?

This OctoCounts report was generated from 8dd8b18d911a8078690c7121d270f45be8f3c217 at commit 8dd8b18d911a on 2026-09-11T00:30:34.600748167+00:00.

## Similar repository reports

- [UniClipboard/UniClipboard](https://octocounts.com/github/UniClipboard/UniClipboard) — Rust, 155,911 code lines
- [vercel-labs/agent-browser](https://octocounts.com/github/vercel-labs/agent-browser) — Rust, 161,459 code lines
- [pbakaus/impeccable](https://octocounts.com/github/pbakaus/impeccable) — Rust, 152,523 code lines
- [imanect-labs/shiki-platform](https://octocounts.com/github/imanect-labs/shiki-platform) — Rust, 150,431 code lines
- [boa-dev/boa](https://octocounts.com/github/boa-dev/boa) — Rust, 171,331 code lines
- [edezhic/mahbot](https://octocounts.com/github/edezhic/mahbot) — Rust, 144,412 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)
- [Rust vs Go](https://octocounts.com/compare/rust-vs-go)
- [Electron vs Tauri](https://octocounts.com/compare/electron-vs-tauri)
- [Deno vs Node.js](https://octocounts.com/compare/deno-vs-node)
- [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)
