# codex-radar/dradar SLOC report

> As of 2026-08-25 (commit f88a8a65733c), codex-radar/dradar contains 28,455 total lines: 24,878 code, 1,397 comments, 2,180 blank, across 46 files in 6 languages (top: Python 98.7%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

codex-radar/dradar has 24,878 source lines of code out of 28,455 total lines across 46 files, counted from the main ref at commit f88a8a65733c by the OctoCounts tokei engine on 2026-08-25. 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 codex-radar/dradar to commit f88a8a65733c, 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 87.4% of all lines, comments represent 4.9%, and the repository averages 541 code lines per file. Python accounts for 98.7% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 40 | 27,399 | 24,548 | 877 | 1,974 |
| Shell | 2 | 182 | 147 | 8 | 27 |
| JSON | 1 | 146 | 146 | 0 | 0 |
| Dockerfile | 1 | 23 | 19 | 0 | 4 |
| TOML | 1 | 22 | 18 | 0 | 4 |
| Markdown | 1 | 683 | 0 | 512 | 171 |

Top language (Python 98.7%). Generated at 2026-08-25T02:19:54.004233636+00:00. Canonical report: https://octocounts.com/github/codex-radar/dradar

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/codex-radar/dradar/commit/f88a8a65733cc4ae910bebd6548fd931aa63df13?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 codex-radar/dradar have?

codex-radar/dradar has 28,455 total lines, including 24,878 code lines, 1,397 comment lines, and 2,180 blank lines.

### How was the codex-radar/dradar line count measured?

OctoCounts resolved the public GitHub repository to commit f88a8a65733c, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for codex-radar/dradar?

This OctoCounts report was generated from main at commit f88a8a65733c on 2026-08-25T02:19:54.004233636+00:00.

## Similar repository reports

- [AgriciDaniel/claude-obsidian](https://octocounts.com/github/AgriciDaniel/claude-obsidian) — Python, 24,663 code lines
- [google-research/timesfm](https://octocounts.com/github/google-research/timesfm) — Python, 25,154 code lines
- [ArThirtyFour/exteraPluginsRobot](https://octocounts.com/github/ArThirtyFour/exteraPluginsRobot) — Python, 25,269 code lines
- [JesseTG/libretro.py](https://octocounts.com/github/JesseTG/libretro.py) — Python, 25,278 code lines
- [itsv1eds/exteraPluginsRobot](https://octocounts.com/github/itsv1eds/exteraPluginsRobot) — Python, 25,306 code lines
- [xiexh20/ViFiGen](https://octocounts.com/github/xiexh20/ViFiGen) — Python, 25,334 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)
- [TensorFlow vs PyTorch](https://octocounts.com/compare/tensorflow-vs-pytorch)
- [Django vs Ruby on Rails](https://octocounts.com/compare/django-vs-rails)
- [Laravel vs Django](https://octocounts.com/compare/laravel-vs-django)
- [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)