# aetherstate/GODMOD3.AI SLOC report

> As of 2026-10-16 (commit d53098d574ca), aetherstate/GODMOD3.AI contains 47,449 total lines: 40,538 code, 3,644 comments, 3,267 blank, across 95 files in 11 languages (top: JSON 45.3%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

aetherstate/GODMOD3.AI has 40,538 source lines of code out of 47,449 total lines across 95 files, counted from the main ref at commit d53098d574ca by the OctoCounts tokei engine on 2026-10-16. 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 aetherstate/GODMOD3.AI to commit d53098d574ca, 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 85.4% of all lines, comments represent 7.7%, and the repository averages 427 code lines per file. JSON accounts for 45.3% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 6 | 18,363 | 18,363 | 0 | 0 |
| TypeScript | 60 | 17,453 | 13,569 | 2,066 | 1,818 |
| TSX | 13 | 8,356 | 7,645 | 159 | 552 |
| TeX | 1 | 669 | 505 | 52 | 112 |
| CSS | 1 | 394 | 310 | 32 | 52 |
| HTML | 2 | 57 | 50 | 3 | 4 |
| Dockerfile | 2 | 82 | 28 | 36 | 18 |
| SVG | 1 | 34 | 27 | 7 | 0 |
| YAML | 1 | 39 | 26 | 11 | 2 |
| JavaScript | 2 | 22 | 15 | 6 | 1 |
| Markdown | 6 | 1,980 | 0 | 1,272 | 708 |

Top language (JSON 45.3%). Generated at 2026-10-16T05:53:00.638670881+00:00. Canonical report: https://octocounts.com/github/aetherstate/GODMOD3.AI

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/aetherstate/GODMOD3.AI/commit/d53098d574ca8610fd878c169f0aac18013e9863?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=561c9224a150cb243236e7b9ca9360e7505db928fa2212e06cea7d8156c9820a).

## Report FAQ

### How many lines of code does aetherstate/GODMOD3.AI have?

aetherstate/GODMOD3.AI has 47,449 total lines, including 40,538 code lines, 3,644 comment lines, and 3,267 blank lines.

### How was the aetherstate/GODMOD3.AI line count measured?

OctoCounts resolved the public GitHub repository to commit d53098d574ca, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for aetherstate/GODMOD3.AI?

This OctoCounts report was generated from main at commit d53098d574ca on 2026-10-16T05:53:00.638670881+00:00.

## Similar repository reports

- [konabe-studio/konode](https://octocounts.com/github/konabe-studio/konode) — JSON, 40,410 code lines
- [elder-plinius/CL4R1T4S](https://octocounts.com/github/elder-plinius/CL4R1T4S) — JSON, 40,774 code lines
- [hvzick/NodeLink](https://octocounts.com/github/hvzick/NodeLink) — JSON, 40,778 code lines
- [JuliaLang/juliaup](https://octocounts.com/github/JuliaLang/juliaup) — JSON, 40,824 code lines
- [Aksh1810/Gitvize](https://octocounts.com/github/Aksh1810/Gitvize) — JSON, 41,149 code lines
- [LoJaeggli09/FormaTrack](https://octocounts.com/github/LoJaeggli09/FormaTrack) — JSON, 39,647 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)
- [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)