# cactus-compute/cactus-hybrid SLOC report

> As of 2026-09-16 (commit de273310d15a), cactus-compute/cactus-hybrid contains 1,420 total lines: 1,048 code, 122 comments, 250 blank, across 20 files in 4 languages (top: Python 94.3%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

cactus-compute/cactus-hybrid has 1,048 source lines of code out of 1,420 total lines across 20 files, counted from the de273310d15a0cbb2fe1fb0083af61aa97a7684d ref at commit de273310d15a 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 cactus-compute/cactus-hybrid to commit de273310d15a, 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 73.8% of all lines, comments represent 8.6%, and the repository averages 52 code lines per file. Python accounts for 94.3% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 16 | 1,183 | 988 | 6 | 189 |
| TOML | 1 | 62 | 54 | 0 | 8 |
| JSON | 1 | 6 | 6 | 0 | 0 |
| Markdown | 2 | 169 | 0 | 116 | 53 |

Top language (Python 94.3%). Generated at 2026-09-16T20:58:50.648358836+00:00. Canonical report: https://octocounts.com/github/cactus-compute/cactus-hybrid

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/cactus-compute/cactus-hybrid/commit/de273310d15a0cbb2fe1fb0083af61aa97a7684d?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 cactus-compute/cactus-hybrid have?

cactus-compute/cactus-hybrid has 1,420 total lines, including 1,048 code lines, 122 comment lines, and 250 blank lines.

### How was the cactus-compute/cactus-hybrid line count measured?

OctoCounts resolved the public GitHub repository to commit de273310d15a, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for cactus-compute/cactus-hybrid?

This OctoCounts report was generated from de273310d15a0cbb2fe1fb0083af61aa97a7684d at commit de273310d15a on 2026-09-16T20:58:50.648358836+00:00.

## Similar repository reports

- [MoonshotAI/FlashKDA](https://octocounts.com/github/MoonshotAI/FlashKDA) — Python, 1,049 code lines
- [anthropics/claude-plugins-community](https://octocounts.com/github/anthropics/claude-plugins-community) — Python, 1,050 code lines
- [QwenLM/Qwen-Image](https://octocounts.com/github/QwenLM/Qwen-Image) — Python, 1,059 code lines
- [LXZxander/pt-shualiu](https://octocounts.com/github/LXZxander/pt-shualiu) — Python, 1,062 code lines
- [MINT-SJTU/RoboClaw](https://octocounts.com/github/MINT-SJTU/RoboClaw) — Python, 1,029 code lines
- [0x5477/deepseek-v4-pro-unrestricted](https://octocounts.com/github/0x5477/deepseek-v4-pro-unrestricted) — Python, 1,072 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)