# AltimateAI/altimate-code SLOC report

> As of 2026-10-21 (commit 11bfb29e2908), AltimateAI/altimate-code contains 595,093 total lines: 512,000 code, 53,155 comments, 29,938 blank, across 1,954 files in 15 languages (top: JSON 47.1%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

AltimateAI/altimate-code has 512,000 source lines of code out of 595,093 total lines across 1,954 files, counted from the main ref at commit 11bfb29e2908 by the OctoCounts tokei engine on 2026-10-21. 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 AltimateAI/altimate-code to commit 11bfb29e2908, 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 86.0% of all lines, comments represent 8.9%, and the repository averages 262 code lines per file. JSON accounts for 47.1% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 110 | 241,187 | 241,177 | 0 | 10 |
| TypeScript | 1,443 | 285,803 | 228,165 | 35,413 | 22,225 |
| TSX | 121 | 35,551 | 30,230 | 3,067 | 2,254 |
| Python | 42 | 11,070 | 9,548 | 274 | 1,248 |
| Shell | 22 | 1,156 | 859 | 212 | 85 |
| BASH | 6 | 833 | 609 | 134 | 90 |
| YAML | 16 | 609 | 490 | 68 | 51 |
| JavaScript | 4 | 524 | 416 | 59 | 49 |
| PowerShell | 2 | 579 | 347 | 179 | 53 |
| SQL | 15 | 155 | 122 | 0 | 33 |
| TOML | 4 | 22 | 13 | 6 | 3 |
| Dockerfile | 1 | 18 | 12 | 2 | 4 |

Top language (JSON 47.1%). Generated at 2026-10-21T02:19:49.448637007+00:00. Canonical report: https://octocounts.com/github/AltimateAI/altimate-code

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/AltimateAI/altimate-code/commit/11bfb29e2908688fd3a16f773827a154d13dfbe8?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=67585d352de1da927bd8fb938a819bfa5c033333e6b32c03ba418b6004fccb7d).

## Report FAQ

### How many lines of code does AltimateAI/altimate-code have?

AltimateAI/altimate-code has 595,093 total lines, including 512,000 code lines, 53,155 comment lines, and 29,938 blank lines.

### How was the AltimateAI/altimate-code line count measured?

OctoCounts resolved the public GitHub repository to commit 11bfb29e2908, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for AltimateAI/altimate-code?

This OctoCounts report was generated from main at commit 11bfb29e2908 on 2026-10-21T02:19:49.448637007+00:00.

## Similar repository reports

- [google-pytorch/torch_tpu](https://octocounts.com/github/google-pytorch/torch_tpu) — JSON, 530,165 code lines
- [every-app/open-seo](https://octocounts.com/github/every-app/open-seo) — JSON, 533,402 code lines
- [BigBodyCobain/Shadowbroker](https://octocounts.com/github/BigBodyCobain/Shadowbroker) — JSON, 488,375 code lines
- [debpalash/VoiceStudio](https://octocounts.com/github/debpalash/VoiceStudio) — JSON, 487,123 code lines
- [paviko/opencode-ide-plugin](https://octocounts.com/github/paviko/opencode-ide-plugin) — JSON, 486,292 code lines
- [MastaTrill/Aetheron-Sentinel-L3](https://octocounts.com/github/MastaTrill/Aetheron-Sentinel-L3) — JSON, 545,703 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)
