# pengwow/axon_quant SLOC report

> As of 2026-10-22 (commit f3e1974c4af5), pengwow/axon_quant contains 152,177 total lines: 125,136 code, 9,374 comments, 17,667 blank, across 700 files in 9 languages (top: Rust 85.4%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

pengwow/axon_quant has 125,136 source lines of code out of 152,177 total lines across 700 files, counted from the main ref at commit f3e1974c4af5 by the OctoCounts tokei engine on 2026-10-22. 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 pengwow/axon_quant to commit f3e1974c4af5, 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 82.2% of all lines, comments represent 6.2%, and the repository averages 179 code lines per file. Rust accounts for 85.4% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Rust | 531 | 126,869 | 106,910 | 5,772 | 14,187 |
| Python | 111 | 17,345 | 13,945 | 760 | 2,640 |
| JSON | 2 | 2,282 | 2,282 | 0 | 0 |
| TOML | 35 | 1,842 | 1,176 | 471 | 195 |
| YAML | 2 | 370 | 327 | 25 | 18 |
| Makefile | 1 | 396 | 290 | 43 | 63 |
| Shell | 3 | 326 | 206 | 68 | 52 |
| Markdown | 8 | 2,702 | 0 | 2,193 | 509 |
| Plain Text | 7 | 45 | 0 | 42 | 3 |

Top language (Rust 85.4%). Generated at 2026-10-22T16:49:43.394946812+00:00. Canonical report: https://octocounts.com/github/pengwow/axon_quant

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/pengwow/axon_quant/commit/f3e1974c4af5c7ee21614b84b2b00190082c00ad?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=c1905edfd9c4c73fd1228c25b1f84e3ce0c172fd7d3a7ad07e09b180898036e8).

## Report FAQ

### How many lines of code does pengwow/axon_quant have?

pengwow/axon_quant has 152,177 total lines, including 125,136 code lines, 9,374 comment lines, and 17,667 blank lines.

### How was the pengwow/axon_quant line count measured?

OctoCounts resolved the public GitHub repository to commit f3e1974c4af5, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for pengwow/axon_quant?

This OctoCounts report was generated from main at commit f3e1974c4af5 on 2026-10-22T16:49:43.394946812+00:00.

## Similar repository reports

- [storytold/gridcraft](https://octocounts.com/github/storytold/gridcraft) — Rust, 125,328 code lines
- [OpenJTD/rjtd](https://octocounts.com/github/OpenJTD/rjtd) — Rust, 125,572 code lines
- [kylejckson/PaintFE](https://octocounts.com/github/kylejckson/PaintFE) — Rust, 126,147 code lines
- [jj-vcs/jj](https://octocounts.com/github/jj-vcs/jj) — Rust, 126,210 code lines
- [ccusage/ccusage](https://octocounts.com/github/ccusage/ccusage) — Rust, 122,844 code lines
- [DouglasDwyer/Egui.NET](https://octocounts.com/github/DouglasDwyer/Egui.NET) — Rust, 121,967 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)
