# factorysemantics/factorysemantics-mes SLOC report

> As of 2026-09-17 (commit 5a28826e6806), factorysemantics/factorysemantics-mes contains 92,120 total lines: 75,438 code, 7,921 comments, 8,761 blank, across 406 files in 13 languages (top: Python 60.5%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

factorysemantics/factorysemantics-mes has 75,438 source lines of code out of 92,120 total lines across 406 files, counted from the 5a28826e6806549eb50996ed4b465855b3e0afbf ref at commit 5a28826e6806 by the OctoCounts tokei engine on 2026-09-17. 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 factorysemantics/factorysemantics-mes to commit 5a28826e6806, 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 81.9% of all lines, comments represent 8.6%, and the repository averages 186 code lines per file. Python accounts for 60.5% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 253 | 55,580 | 45,654 | 3,132 | 6,794 |
| JSON | 41 | 15,726 | 15,723 | 0 | 3 |
| JavaScript | 34 | 10,678 | 8,589 | 1,114 | 975 |
| HTML | 23 | 2,643 | 2,488 | 10 | 145 |
| CSS | 15 | 2,006 | 1,612 | 208 | 186 |
| YAML | 3 | 497 | 407 | 56 | 34 |
| Jupyter Notebooks | 1 | 500 | 351 | 129 | 20 |
| TOML | 15 | 859 | 328 | 446 | 85 |
| Shell | 1 | 394 | 253 | 107 | 34 |
| PowerShell | 1 | 40 | 22 | 12 | 6 |
| Dockerfile | 1 | 12 | 8 | 2 | 2 |
| INI | 1 | 4 | 3 | 1 | 0 |

Top language (Python 60.5%). Generated at 2026-09-17T20:53:42.059941507+00:00. Canonical report: https://octocounts.com/github/factorysemantics/factorysemantics-mes

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/factorysemantics/factorysemantics-mes/commit/5a28826e6806549eb50996ed4b465855b3e0afbf?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 factorysemantics/factorysemantics-mes have?

factorysemantics/factorysemantics-mes has 92,120 total lines, including 75,438 code lines, 7,921 comment lines, and 8,761 blank lines.

### How was the factorysemantics/factorysemantics-mes line count measured?

OctoCounts resolved the public GitHub repository to commit 5a28826e6806, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for factorysemantics/factorysemantics-mes?

This OctoCounts report was generated from 5a28826e6806549eb50996ed4b465855b3e0afbf at commit 5a28826e6806 on 2026-09-17T20:53:42.059941507+00:00.

## Similar repository reports

- [Light0305/Light-skills](https://octocounts.com/github/Light0305/Light-skills) — Python, 75,452 code lines
- [calesthio/OpenMontage](https://octocounts.com/github/calesthio/OpenMontage) — Python, 76,147 code lines
- [Alishahryar1/free-claude-code](https://octocounts.com/github/Alishahryar1/free-claude-code) — Python, 76,599 code lines
- [yukkcat/chatgpt2api](https://octocounts.com/github/yukkcat/chatgpt2api) — Python, 74,215 code lines
- [khoj-ai/khoj](https://octocounts.com/github/khoj-ai/khoj) — Python, 77,459 code lines
- [HUST-AI-HYZ/MemoryAgentBench](https://octocounts.com/github/HUST-AI-HYZ/MemoryAgentBench) — Python, 78,449 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)