# JoaoHenriqueBarbosa/agent-42 SLOC report

> As of 2026-09-03 (commit 0895661e84c0), JoaoHenriqueBarbosa/agent-42 contains 1,505 total lines: 835 code, 328 comments, 342 blank, across 17 files in 5 languages (top: Python 97.6%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving JoaoHenriqueBarbosa/agent-42 to commit 0895661e84c0, 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 55.5% of all lines, comments represent 21.8%, and the repository averages 49 code lines per file. Python accounts for 97.6% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 9 | 1,024 | 815 | 10 | 199 |
| Dockerfile | 1 | 16 | 13 | 0 | 3 |
| YAML | 1 | 7 | 7 | 0 | 0 |
| Markdown | 4 | 375 | 0 | 254 | 121 |
| Plain Text | 2 | 83 | 0 | 64 | 19 |

Top language (Python 97.6%). Generated at 2026-09-03T01:26:21.655817615+00:00. Canonical report: https://octocounts.com/github/JoaoHenriqueBarbosa/agent-42

## Report FAQ

### How many lines of code does JoaoHenriqueBarbosa/agent-42 have?

JoaoHenriqueBarbosa/agent-42 has 1,505 total lines, including 835 code lines, 328 comment lines, and 342 blank lines.

### How was the JoaoHenriqueBarbosa/agent-42 line count measured?

OctoCounts resolved the public GitHub repository to commit 0895661e84c0, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for JoaoHenriqueBarbosa/agent-42?

This OctoCounts report was generated from main at commit 0895661e84c0 on 2026-09-03T01:26:21.655817615+00:00.

## Similar repository reports

- [starchild-codes/RagaLint](https://octocounts.com/github/starchild-codes/RagaLint) — Python, 828 code lines
- [Altriazyk/seerNew](https://octocounts.com/github/Altriazyk/seerNew) — Python, 820 code lines
- [ChocoData-com/instagram-scraper](https://octocounts.com/github/ChocoData-com/instagram-scraper) — Python, 851 code lines
- [yonglim2392/screen-memory-mcp](https://octocounts.com/github/yonglim2392/screen-memory-mcp) — Python, 853 code lines
- [calgray/athreading](https://octocounts.com/github/calgray/athreading) — Python, 871 code lines
- [V1xel/mixamo-mcp](https://octocounts.com/github/V1xel/mixamo-mcp) — Python, 876 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)
- [OctoCounts API docs](https://octocounts.com/docs/api)