# nanguaguag/SubFlow SLOC report

> nanguaguag/SubFlow: 666 code lines at commit 00077e6e7bd0, counted with tokei-14.0.0 on 2026-10-02. Saved result 4aa827525f9984a08f5b4f7f0f2e264749844d5fe81c1c1b72a74eb0b2adfae9.

nanguaguag/SubFlow has 666 source lines of code out of 1,111 total lines across 5 files, counted from the main ref at commit 00077e6e7bd0 by the OctoCounts tokei engine on 2026-10-02. 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 nanguaguag/SubFlow to commit 00077e6e7bd0, 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 59.9% of all lines, comments represent 19.8%, and the repository averages 133 code lines per file. Python accounts for 100.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 4 | 979 | 666 | 131 | 182 |
| Markdown | 1 | 132 | 0 | 89 | 43 |

Top language (Python 100.0%). Generated at 2026-10-02T22:27:16.772540269Z. Canonical report: https://octocounts.com/github/nanguaguag/SubFlow/commit/00077e6e7bd01c4e63a762b242a4230ffb2e5ac3?reportId=4aa827525f9984a08f5b4f7f0f2e264749844d5fe81c1c1b72a74eb0b2adfae9&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/nanguaguag/SubFlow/commit/00077e6e7bd01c4e63a762b242a4230ffb2e5ac3?reportId=4aa827525f9984a08f5b4f7f0f2e264749844d5fe81c1c1b72a74eb0b2adfae9&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does nanguaguag/SubFlow have?

nanguaguag/SubFlow has 1,111 total lines, including 666 code lines, 220 comment lines, and 225 blank lines.

### How was the nanguaguag/SubFlow line count measured?

OctoCounts resolved the public GitHub repository to commit 00077e6e7bd0, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for nanguaguag/SubFlow?

This OctoCounts report was generated from main at commit 00077e6e7bd0 on 2026-10-02T22:27:16.772540269Z.

## 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)