# hugohe3/ppt-master SLOC report

> hugohe3/ppt-master: 323,567 code lines at commit cc8b722a24e9, counted with tokei-14.0.0 on 2026-10-21. Saved result f973a013876bfa0839a247c4fb1713dfc4d7c653fd68c1939e688e68606c648c.

hugohe3/ppt-master has 323,567 source lines of code out of 401,926 total lines across 12,684 files, counted from the main ref at commit cc8b722a24e9 by the OctoCounts tokei engine on 2026-10-21. 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 hugohe3/ppt-master to commit cc8b722a24e9, 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 large codebase by counted code lines. Code represents 80.5% of all lines, comments represent 13.1%, and the repository averages 26 code lines per file. Python accounts for 50.5% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 246 | 183,104 | 163,386 | 2,819 | 16,899 |
| SVG | 12,185 | 145,017 | 108,956 | 35,970 | 91 |
| JSON | 18 | 24,098 | 24,098 | 0 | 0 |
| XML | 1 | 19,898 | 17,392 | 0 | 2,506 |
| JavaScript | 3 | 8,352 | 7,472 | 373 | 507 |
| CSS | 3 | 2,261 | 2,051 | 49 | 161 |
| HTML | 4 | 216 | 212 | 0 | 4 |
| Markdown | 218 | 18,321 | 0 | 12,770 | 5,551 |
| Plain Text | 6 | 659 | 0 | 599 | 60 |

Top language (Python 50.5%). Generated at 2026-10-21T03:31:56.021943431Z. Canonical report: https://octocounts.com/github/hugohe3/ppt-master/commit/cc8b722a24e9fb540e67c2d58a9ea3da534cd682?reportId=f973a013876bfa0839a247c4fb1713dfc4d7c653fd68c1939e688e68606c648c&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/hugohe3/ppt-master/commit/cc8b722a24e9fb540e67c2d58a9ea3da534cd682?reportId=f973a013876bfa0839a247c4fb1713dfc4d7c653fd68c1939e688e68606c648c&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 hugohe3/ppt-master have?

hugohe3/ppt-master has 401,926 total lines, including 323,567 code lines, 52,580 comment lines, and 25,779 blank lines.

### How was the hugohe3/ppt-master line count measured?

OctoCounts resolved the public GitHub repository to commit cc8b722a24e9, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for hugohe3/ppt-master?

This OctoCounts report was generated from main at commit cc8b722a24e9 on 2026-10-21T03:31:56.021943431Z.

## Similar repository reports

- [hsliuping/TradingAgents-CN](https://octocounts.com/github/hsliuping/TradingAgents-CN) — Python, 319,622 code lines
- [topoteretes/cognee](https://octocounts.com/github/topoteretes/cognee) — Python, 327,698 code lines
- [kvcache-ai/ktransformers](https://octocounts.com/github/kvcache-ai/ktransformers) — Python, 328,578 code lines
- [openai/openai-python](https://octocounts.com/github/openai/openai-python) — Python, 318,322 code lines
- [angr/angr](https://octocounts.com/github/angr/angr) — Python, 334,007 code lines
- [HKUDS/Vibe-Trading](https://octocounts.com/github/HKUDS/Vibe-Trading) — Python, 310,617 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)