# sngyai/Sequoia-X SLOC report

> As of 2026-09-03 (commit 444c0db69ff3), sngyai/Sequoia-X contains 1,407 total lines: 1,002 code, 126 comments, 279 blank, across 20 files in 3 languages (top: Python 97.5%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

sngyai/Sequoia-X has 1,002 source lines of code out of 1,407 total lines across 20 files, counted from the master ref at commit 444c0db69ff3 by the OctoCounts tokei engine on 2026-09-03. 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 sngyai/Sequoia-X to commit 444c0db69ff3, 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 71.2% of all lines, comments represent 9.0%, and the repository averages 50 code lines per file. Python accounts for 97.5% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 18 | 1,266 | 977 | 48 | 241 |
| TOML | 1 | 28 | 25 | 0 | 3 |
| Markdown | 1 | 113 | 0 | 78 | 35 |

Top language (Python 97.5%). Generated at 2026-09-03T02:01:34.078743652+00:00. Canonical report: https://octocounts.com/github/sngyai/Sequoia-X

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/sngyai/Sequoia-X/commit/444c0db69ff36b46ef2b22ab265051d60c16029d?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 sngyai/Sequoia-X have?

sngyai/Sequoia-X has 1,407 total lines, including 1,002 code lines, 126 comment lines, and 279 blank lines.

### How was the sngyai/Sequoia-X line count measured?

OctoCounts resolved the public GitHub repository to commit 444c0db69ff3, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for sngyai/Sequoia-X?

This OctoCounts report was generated from master at commit 444c0db69ff3 on 2026-09-03T02:01:34.078743652+00:00.

## Similar repository reports

- [andimarafioti/nano-parakeet](https://octocounts.com/github/andimarafioti/nano-parakeet) — Python, 1,012 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
- [MINT-SJTU/RoboClaw](https://octocounts.com/github/MINT-SJTU/RoboClaw) — Python, 1,029 code lines
- [practical-tutorials/project-based-learning](https://octocounts.com/github/practical-tutorials/project-based-learning) — Python, 972 code lines
- [cactus-compute/cactus-hybrid](https://octocounts.com/github/cactus-compute/cactus-hybrid) — Python, 1,048 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)