# blader/humanizer SLOC report

> As of 2026-09-07 (commit 9862685f575c), blader/humanizer contains 716 total lines: 70 code, 476 comments, 170 blank, across 5 files in 3 languages (top: Python 94.3%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

blader/humanizer has 70 source lines of code out of 716 total lines across 5 files, counted from the main ref at commit 9862685f575c by the OctoCounts tokei engine on 2026-09-07. 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 blader/humanizer to commit 9862685f575c, 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 9.8% of all lines, comments represent 66.5%, and the repository averages 14 code lines per file. Python accounts for 94.3% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 1 | 87 | 66 | 1 | 20 |
| YAML | 1 | 4 | 4 | 0 | 0 |
| Markdown | 3 | 625 | 0 | 475 | 150 |

Top language (Python 94.3%). Generated at 2026-09-07T07:18:18.273389466+00:00. Canonical report: https://octocounts.com/github/blader/humanizer

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/blader/humanizer/commit/9862685f575c65a8247f90369951df1b3416e3d6?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 blader/humanizer have?

blader/humanizer has 716 total lines, including 70 code lines, 476 comment lines, and 170 blank lines.

### How was the blader/humanizer line count measured?

OctoCounts resolved the public GitHub repository to commit 9862685f575c, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for blader/humanizer?

This OctoCounts report was generated from main at commit 9862685f575c on 2026-09-07T07:18:18.273389466+00:00.

## Similar repository reports

- [Purrple-hub/Donut](https://octocounts.com/github/Purrple-hub/Donut) — Python, 73 code lines
- [Gabrieliam42/LLMs_GPU_VRAM_Calculator](https://octocounts.com/github/Gabrieliam42/LLMs_GPU_VRAM_Calculator) — Python, 66 code lines
- [langchain-ai/langgraph-example](https://octocounts.com/github/langchain-ai/langgraph-example) — Python, 65 code lines
- [Dhravya/TypeMonkey](https://octocounts.com/github/Dhravya/TypeMonkey) — Python, 63 code lines
- [sanathbeedu/survivor-drone](https://octocounts.com/github/sanathbeedu/survivor-drone) — Python, 62 code lines
- [CodingSkywalker/budget-tracker](https://octocounts.com/github/CodingSkywalker/budget-tracker) — Python, 57 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)