# hetznercloud/hcloud-python SLOC report

> As of 2026-09-17 (commit c6bc24a0e733), hetznercloud/hcloud-python contains 32,597 total lines: 27,180 code, 844 comments, 4,573 blank, across 217 files in 12 languages (top: Python 97.9%). Default configuration. Counted with tokei via OctoCounts.

hetznercloud/hcloud-python has 27,180 source lines of code out of 32,597 total lines across 217 files, counted from the main ref at commit c6bc24a0e733 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 hetznercloud/hcloud-python to commit c6bc24a0e733, 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 83.4% of all lines, comments represent 2.6%, and the repository averages 125 code lines per file. Python accounts for 97.9% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 176 | 30,631 | 26,611 | 121 | 3,899 |
| ReStructuredText | 26 | 611 | 402 | 0 | 209 |
| Makefile | 2 | 57 | 39 | 7 | 11 |
| TOML | 1 | 41 | 34 | 1 | 6 |
| SVG | 1 | 28 | 28 | 0 | 0 |
| Batch | 1 | 35 | 26 | 1 | 8 |
| INI | 1 | 17 | 15 | 0 | 2 |
| Autoconf | 1 | 12 | 9 | 0 | 3 |
| CSS | 1 | 12 | 9 | 1 | 2 |
| JSON | 1 | 4 | 4 | 0 | 0 |
| JavaScript | 1 | 3 | 3 | 0 | 0 |
| Markdown | 5 | 1,146 | 0 | 713 | 433 |

Top language (Python 97.9%). Generated at 2026-09-17T04:20:33.629754625+00:00. Canonical report: https://octocounts.com/github/hetznercloud/hcloud-python

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/hetznercloud/hcloud-python/commit/c6bc24a0e733c84a91404677195fe237a859e495?analysis=%7B%22ignoredDirs%22%3A%5B%5D%2C%22ignoredLanguages%22%3A%5B%5D%2C%22profile%22%3A%22default%22%2C%22includeDocs%22%3Atrue%2C%22includeTests%22%3Atrue%2C%22includeGenerated%22%3Atrue%7D).

## Report FAQ

### How many lines of code does hetznercloud/hcloud-python have?

hetznercloud/hcloud-python has 32,597 total lines, including 27,180 code lines, 844 comment lines, and 4,573 blank lines.

### How was the hetznercloud/hcloud-python line count measured?

OctoCounts resolved the public GitHub repository to commit c6bc24a0e733, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for hetznercloud/hcloud-python?

This OctoCounts report was generated from main at commit c6bc24a0e733 on 2026-09-17T04:20:33.629754625+00:00.

## Similar repository reports

- [ygyang11/Arktor](https://octocounts.com/github/ygyang11/Arktor) — Python, 27,279 code lines
- [RoboVIP/RoboVIP_VDM](https://octocounts.com/github/RoboVIP/RoboVIP_VDM) — Python, 26,968 code lines
- [lij768423-svg/grok-register-panel](https://octocounts.com/github/lij768423-svg/grok-register-panel) — Python, 26,960 code lines
- [hikariatama/hikka](https://octocounts.com/github/hikariatama/hikka) — Python, 26,746 code lines
- [meta-pytorch/opacus](https://octocounts.com/github/meta-pytorch/opacus) — Python, 26,651 code lines
- [XiaoMi/ha_xiaomi_home](https://octocounts.com/github/XiaoMi/ha_xiaomi_home) — Python, 26,642 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)
