# ARARAT33/AWENET SLOC report

> As of 2026-10-20 (commit e97809f3eb7e), ARARAT33/AWENET contains 15,531 total lines: 14,321 code, 164 comments, 1,046 blank, across 81 files in 12 languages (top: Rust 96.4%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

ARARAT33/AWENET has 14,321 source lines of code out of 15,531 total lines across 81 files, counted from the main ref at commit e97809f3eb7e by the OctoCounts tokei engine on 2026-10-20. 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 ARARAT33/AWENET to commit e97809f3eb7e, 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 92.2% of all lines, comments represent 1.1%, and the repository averages 177 code lines per file. Rust accounts for 96.4% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Rust | 57 | 14,844 | 13,810 | 71 | 963 |
| JavaScript | 2 | 233 | 230 | 0 | 3 |
| TOML | 4 | 109 | 96 | 0 | 13 |
| Kotlin | 1 | 74 | 60 | 1 | 13 |
| JSON | 3 | 28 | 28 | 0 | 0 |
| HTML | 2 | 26 | 26 | 0 | 0 |
| Batch | 1 | 25 | 23 | 0 | 2 |
| PowerShell | 1 | 23 | 21 | 0 | 2 |
| Shell | 1 | 16 | 15 | 1 | 0 |
| XML | 1 | 9 | 9 | 0 | 0 |
| CSS | 2 | 3 | 3 | 0 | 0 |
| Markdown | 6 | 141 | 0 | 91 | 50 |

Top language (Rust 96.4%). Generated at 2026-10-20T11:35:32.040119603+00:00. Canonical report: https://octocounts.com/github/ARARAT33/AWENET

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/ARARAT33/AWENET/commit/e97809f3eb7e0de09b4fa7c2979ac4bcedb0936b?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=db0f1c7fc9f4dcf00e946635c7f91a65f7387086876bbc59c6be5c0284daaff7).

## Report FAQ

### How many lines of code does ARARAT33/AWENET have?

ARARAT33/AWENET has 15,531 total lines, including 14,321 code lines, 164 comment lines, and 1,046 blank lines.

### How was the ARARAT33/AWENET line count measured?

OctoCounts resolved the public GitHub repository to commit e97809f3eb7e, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for ARARAT33/AWENET?

This OctoCounts report was generated from main at commit e97809f3eb7e on 2026-10-20T11:35:32.040119603+00:00.

## Similar repository reports

- [LagrangeDev/kosa](https://octocounts.com/github/LagrangeDev/kosa) — Rust, 14,452 code lines
- [async-rs/async-std](https://octocounts.com/github/async-rs/async-std) — Rust, 14,817 code lines
- [jackwener/wx-cli-again](https://octocounts.com/github/jackwener/wx-cli-again) — Rust, 15,121 code lines
- [hibays/DSHL](https://octocounts.com/github/hibays/DSHL) — Rust, 15,450 code lines
- [Enter-tainer/zint-wasi](https://octocounts.com/github/Enter-tainer/zint-wasi) — Rust, 13,186 code lines
- [owenewans/snolc](https://octocounts.com/github/owenewans/snolc) — Rust, 13,058 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)
