# nomyowo/FurryRecongnization SLOC report

> As of 2026-09-16 (commit 63db40d90ea9), nomyowo/FurryRecongnization contains 2,376 total lines: 1,635 code, 332 comments, 409 blank, across 13 files in 5 languages (top: Python 60.8%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

nomyowo/FurryRecongnization has 1,635 source lines of code out of 2,376 total lines across 13 files, counted from the 63db40d90ea9b945218386aa37d8bad2e24439e2 ref at commit 63db40d90ea9 by the OctoCounts tokei engine on 2026-09-16. 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 nomyowo/FurryRecongnization to commit 63db40d90ea9, 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 small codebase by counted code lines. Code represents 68.8% of all lines, comments represent 14.0%, and the repository averages 126 code lines per file. Python accounts for 60.8% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 3 | 1,378 | 994 | 142 | 242 |
| HTML | 7 | 706 | 623 | 24 | 59 |
| Dockerfile | 1 | 46 | 18 | 17 | 11 |
| Markdown | 1 | 201 | 0 | 122 | 79 |
| Plain Text | 1 | 45 | 0 | 27 | 18 |

Top language (Python 60.8%). Generated at 2026-09-16T11:17:54.355514010+00:00. Canonical report: https://octocounts.com/github/nomyowo/FurryRecongnization

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/nomyowo/FurryRecongnization/commit/63db40d90ea9b945218386aa37d8bad2e24439e2?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 nomyowo/FurryRecongnization have?

nomyowo/FurryRecongnization has 2,376 total lines, including 1,635 code lines, 332 comment lines, and 409 blank lines.

### How was the nomyowo/FurryRecongnization line count measured?

OctoCounts resolved the public GitHub repository to commit 63db40d90ea9, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for nomyowo/FurryRecongnization?

This OctoCounts report was generated from 63db40d90ea9b945218386aa37d8bad2e24439e2 at commit 63db40d90ea9 on 2026-09-16T11:17:54.355514010+00:00.

## Similar repository reports

- [fivetaku/fablize](https://octocounts.com/github/fivetaku/fablize) — Python, 1,610 code lines
- [infpdev/orbshacker](https://octocounts.com/github/infpdev/orbshacker) — Python, 1,660 code lines
- [vedantparmar12/airbnb-mcp](https://octocounts.com/github/vedantparmar12/airbnb-mcp) — Python, 1,607 code lines
- [DanielPires2000/orbshacker](https://octocounts.com/github/DanielPires2000/orbshacker) — Python, 1,607 code lines
- [strykey/orbshacker](https://octocounts.com/github/strykey/orbshacker) — Python, 1,607 code lines
- [fastzip/fastzip](https://octocounts.com/github/fastzip/fastzip) — Python, 1,686 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)