# microsoft/TRELLIS.2 SLOC report

> As of 2026-10-02 (commit 75fbf0183001), microsoft/TRELLIS.2 contains 25,703 total lines: 21,041 code, 1,684 comments, 2,978 blank, across 164 files in 9 languages (top: Python 81.3%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

microsoft/TRELLIS.2 has 21,041 source lines of code out of 25,703 total lines across 164 files, counted from the main ref at commit 75fbf0183001 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 microsoft/TRELLIS.2 to commit 75fbf0183001, 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 81.9% of all lines, comments represent 6.6%, and the repository averages 128 code lines per file. Python accounts for 81.3% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 131 | 19,973 | 17,116 | 538 | 2,319 |
| C++ | 6 | 2,165 | 1,705 | 258 | 202 |
| CUDA | 5 | 1,349 | 1,016 | 170 | 163 |
| JSON | 4 | 552 | 552 | 0 | 0 |
| C Header | 10 | 982 | 498 | 367 | 117 |
| Shell | 2 | 140 | 122 | 2 | 16 |
| TOML | 1 | 34 | 32 | 0 | 2 |
| Markdown | 4 | 493 | 0 | 336 | 157 |
| Plain Text | 1 | 15 | 0 | 13 | 2 |

Top language (Python 81.3%). Generated at 2026-10-02T11:37:35.383538189+00:00. Canonical report: https://octocounts.com/github/microsoft/TRELLIS.2

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/microsoft/TRELLIS.2/commit/75fbf0183001ed9876c8dbb35de6b68552ee08bd?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 microsoft/TRELLIS.2 have?

microsoft/TRELLIS.2 has 25,703 total lines, including 21,041 code lines, 1,684 comment lines, and 2,978 blank lines.

### How was the microsoft/TRELLIS.2 line count measured?

OctoCounts resolved the public GitHub repository to commit 75fbf0183001, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for microsoft/TRELLIS.2?

This OctoCounts report was generated from main at commit 75fbf0183001 on 2026-10-02T11:37:35.383538189+00:00.

## Similar repository reports

- [RKiding/Awesome-finance-skills](https://octocounts.com/github/RKiding/Awesome-finance-skills) — Python, 20,957 code lines
- [Project-YZH/WebViewJSdetect](https://octocounts.com/github/Project-YZH/WebViewJSdetect) — Python, 20,940 code lines
- [alexzhang13/rlm](https://octocounts.com/github/alexzhang13/rlm) — Python, 21,154 code lines
- [chi111i/BypassAIGC](https://octocounts.com/github/chi111i/BypassAIGC) — Python, 20,855 code lines
- [theclaymethod/unslop](https://octocounts.com/github/theclaymethod/unslop) — Python, 20,837 code lines
- [Maoleio/CPA-Codex-Manager](https://octocounts.com/github/Maoleio/CPA-Codex-Manager) — Python, 20,800 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)