# rommapp/romm SLOC report

> As of 2026-09-06 (commit 69281c393428), rommapp/romm contains 233,830 total lines: 203,247 code, 11,482 comments, 19,101 blank, across 2,297 files in 17 languages (top: Python 39.7%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

rommapp/romm has 203,247 source lines of code out of 233,830 total lines across 2,297 files, counted from the 69281c393428ffd982ef8652e5e328e3058215d0 ref at commit 69281c393428 by the OctoCounts tokei engine on 2026-09-06. 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 rommapp/romm to commit 69281c393428, 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 86.9% of all lines, comments represent 4.9%, and the repository averages 88 code lines per file. Python accounts for 39.7% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 407 | 95,176 | 80,756 | 3,393 | 11,027 |
| JSON | 294 | 49,452 | 49,452 | 0 | 0 |
| TypeScript | 682 | 52,281 | 41,056 | 6,243 | 4,982 |
| SVG | 369 | 16,624 | 15,380 | 0 | 1,244 |
| Vue | 500 | 15,427 | 13,732 | 450 | 1,245 |
| CSS | 11 | 1,698 | 1,318 | 273 | 107 |
| JavaScript | 4 | 411 | 331 | 55 | 25 |
| YAML | 9 | 596 | 316 | 250 | 30 |
| BASH | 1 | 432 | 306 | 59 | 67 |
| Dockerfile | 3 | 434 | 265 | 83 | 86 |
| TOML | 1 | 146 | 134 | 5 | 7 |
| Shell | 3 | 210 | 133 | 44 | 33 |

Top language (Python 39.7%). Generated at 2026-09-06T20:01:55.339743671+00:00. Canonical report: https://octocounts.com/github/rommapp/romm

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/rommapp/romm/commit/69281c393428ffd982ef8652e5e328e3058215d0?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 rommapp/romm have?

rommapp/romm has 233,830 total lines, including 203,247 code lines, 11,482 comment lines, and 19,101 blank lines.

### How was the rommapp/romm line count measured?

OctoCounts resolved the public GitHub repository to commit 69281c393428, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for rommapp/romm?

This OctoCounts report was generated from 69281c393428ffd982ef8652e5e328e3058215d0 at commit 69281c393428 on 2026-09-06T20:01:55.339743671+00:00.

## Similar repository reports

- [langchain-ai/langchain](https://octocounts.com/github/langchain-ai/langchain) — Python, 203,269 code lines
- [HKUDS/CLI-Anything](https://octocounts.com/github/HKUDS/CLI-Anything) — Python, 204,046 code lines
- [gptme/gptme](https://octocounts.com/github/gptme/gptme) — Python, 200,777 code lines
- [cactus-compute/cactus](https://octocounts.com/github/cactus-compute/cactus) — Python, 205,897 code lines
- [dograh-hq/dograh](https://octocounts.com/github/dograh-hq/dograh) — Python, 199,995 code lines
- [mohamedomarr/IB-Acquisition](https://octocounts.com/github/mohamedomarr/IB-Acquisition) — Python, 206,926 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)