# andimarafioti/nano-parakeet SLOC report

> As of 2026-09-16 (commit 26ee76064235), andimarafioti/nano-parakeet contains 1,359 total lines: 1,012 code, 109 comments, 238 blank, across 11 files in 4 languages (top: Python 89.5%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

andimarafioti/nano-parakeet has 1,012 source lines of code out of 1,359 total lines across 11 files, counted from the 26ee76064235b95b92782ddd4bbd05f6d99550ae ref at commit 26ee76064235 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 andimarafioti/nano-parakeet to commit 26ee76064235, 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 74.5% of all lines, comments represent 8.0%, and the repository averages 92 code lines per file. Python accounts for 89.5% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 8 | 1,117 | 906 | 30 | 181 |
| Shell | 1 | 88 | 66 | 4 | 18 |
| TOML | 1 | 45 | 40 | 0 | 5 |
| Markdown | 1 | 109 | 0 | 75 | 34 |

Top language (Python 89.5%). Generated at 2026-09-16T05:26:22.091954849+00:00. Canonical report: https://octocounts.com/github/andimarafioti/nano-parakeet

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/andimarafioti/nano-parakeet/commit/26ee76064235b95b92782ddd4bbd05f6d99550ae?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 andimarafioti/nano-parakeet have?

andimarafioti/nano-parakeet has 1,359 total lines, including 1,012 code lines, 109 comment lines, and 238 blank lines.

### How was the andimarafioti/nano-parakeet line count measured?

OctoCounts resolved the public GitHub repository to commit 26ee76064235, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for andimarafioti/nano-parakeet?

This OctoCounts report was generated from 26ee76064235b95b92782ddd4bbd05f6d99550ae at commit 26ee76064235 on 2026-09-16T05:26:22.091954849+00:00.

## Similar repository reports

- [sngyai/Sequoia-X](https://octocounts.com/github/sngyai/Sequoia-X) — Python, 1,002 code lines
- [Do1e/NJUlogin](https://octocounts.com/github/Do1e/NJUlogin) — Python, 992 code lines
- [damianoneill/openai-agents-context-compaction](https://octocounts.com/github/damianoneill/openai-agents-context-compaction) — Python, 978 code lines
- [cactus-compute/cactus-hybrid](https://octocounts.com/github/cactus-compute/cactus-hybrid) — Python, 1,048 code lines
- [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

## 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)
