# shareAI-lab/learn-claude-code SLOC report

> As of 2026-09-03 (commit 0dcafa2ae053), shareAI-lab/learn-claude-code contains 59,189 total lines: 41,769 code, 8,075 comments, 9,345 blank, across 350 files in 9 languages (top: Python 37.3%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving shareAI-lab/learn-claude-code to commit 0dcafa2ae053, 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 medium-sized codebase by counted code lines. Code represents 70.6% of all lines, comments represent 13.6%, and the repository averages 119 code lines per file. Python accounts for 37.3% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 36 | 18,478 | 15,600 | 389 | 2,489 |
| SVG | 153 | 13,753 | 9,761 | 1,606 | 2,386 |
| TSX | 46 | 9,323 | 8,633 | 39 | 651 |
| JSON | 41 | 5,921 | 5,921 | 0 | 0 |
| TypeScript | 10 | 1,515 | 1,391 | 0 | 124 |
| CSS | 1 | 574 | 457 | 19 | 98 |
| JavaScript | 1 | 7 | 6 | 0 | 1 |
| Markdown | 61 | 9,615 | 0 | 6,019 | 3,596 |
| Plain Text | 1 | 3 | 0 | 3 | 0 |

Top language (Python 37.3%). Generated at 2026-09-03T01:48:37.096613140+00:00. Canonical report: https://octocounts.com/github/shareAI-lab/learn-claude-code

## Report FAQ

### How many lines of code does shareAI-lab/learn-claude-code have?

shareAI-lab/learn-claude-code has 59,189 total lines, including 41,769 code lines, 8,075 comment lines, and 9,345 blank lines.

### How was the shareAI-lab/learn-claude-code line count measured?

OctoCounts resolved the public GitHub repository to commit 0dcafa2ae053, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for shareAI-lab/learn-claude-code?

This OctoCounts report was generated from main at commit 0dcafa2ae053 on 2026-09-03T01:48:37.096613140+00:00.

## Similar repository reports

- [abus-aikorea/voice-pro](https://octocounts.com/github/abus-aikorea/voice-pro) — Python, 40,902 code lines
- [kaloscope/kaloscope](https://octocounts.com/github/kaloscope/kaloscope) — Python, 42,673 code lines
- [Cinnamon/kotaemon](https://octocounts.com/github/Cinnamon/kotaemon) — Python, 40,809 code lines
- [huggingface/speech-to-speech](https://octocounts.com/github/huggingface/speech-to-speech) — Python, 39,485 code lines
- [OpenSourceAP/CrossSection](https://octocounts.com/github/OpenSourceAP/CrossSection) — Python, 44,221 code lines
- [MiaAI-Lab/DeepSeek-v4-Flash-DSpark-2x-DGX-Spark](https://octocounts.com/github/MiaAI-Lab/DeepSeek-v4-Flash-DSpark-2x-DGX-Spark) — Python, 39,235 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)