# alexgreensh/attention-span SLOC report

> As of 2026-09-06 (commit ff0d414fc775), alexgreensh/attention-span contains 3,654 total lines: 1,743 code, 1,262 comments, 649 blank, across 36 files in 5 languages (top: Python 77.9%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

alexgreensh/attention-span has 1,743 source lines of code out of 3,654 total lines across 36 files, counted from the ff0d414fc7756eca600d3ff71b3942d5f5edba63 ref at commit ff0d414fc775 by the OctoCounts tokei engine on 2026-09-06. 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 alexgreensh/attention-span to commit ff0d414fc775, 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 47.7% of all lines, comments represent 34.5%, and the repository averages 48 code lines per file. Python accounts for 77.9% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 11 | 1,575 | 1,358 | 64 | 153 |
| JSON | 4 | 257 | 257 | 0 | 0 |
| SVG | 2 | 126 | 97 | 20 | 9 |
| Shell | 1 | 44 | 31 | 4 | 9 |
| Markdown | 18 | 1,652 | 0 | 1,174 | 478 |

Top language (Python 77.9%). Generated at 2026-09-06T17:00:03.883163354+00:00. Canonical report: https://octocounts.com/github/alexgreensh/attention-span

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/alexgreensh/attention-span/commit/ff0d414fc7756eca600d3ff71b3942d5f5edba63?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 alexgreensh/attention-span have?

alexgreensh/attention-span has 3,654 total lines, including 1,743 code lines, 1,262 comment lines, and 649 blank lines.

### How was the alexgreensh/attention-span line count measured?

OctoCounts resolved the public GitHub repository to commit ff0d414fc775, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for alexgreensh/attention-span?

This OctoCounts report was generated from ff0d414fc7756eca600d3ff71b3942d5f5edba63 at commit ff0d414fc775 on 2026-09-06T17:00:03.883163354+00:00.

## Similar repository reports

- [mzcleaner/mzcleaner](https://octocounts.com/github/mzcleaner/mzcleaner) — Python, 1,765 code lines
- [fabaindaiz/spellsolver](https://octocounts.com/github/fabaindaiz/spellsolver) — Python, 1,716 code lines
- [joeseesun/qiaomu-anything-to-notebooklm](https://octocounts.com/github/joeseesun/qiaomu-anything-to-notebooklm) — Python, 1,708 code lines
- [fastzip/fastzip](https://octocounts.com/github/fastzip/fastzip) — Python, 1,686 code lines
- [Enigma-Soul/night-watcher](https://octocounts.com/github/Enigma-Soul/night-watcher) — Python, 1,805 code lines
- [infpdev/orbshacker](https://octocounts.com/github/infpdev/orbshacker) — Python, 1,660 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)
