# youssofal/MTPLX SLOC report

> As of 2026-09-16 (commit 21be78b3f518), youssofal/MTPLX contains 415,422 total lines: 354,885 code, 28,981 comments, 31,556 blank, across 909 files in 19 languages (top: Python 65.2%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

youssofal/MTPLX has 354,885 source lines of code out of 415,422 total lines across 909 files, counted from the 21be78b3f51820eecef020e5e4855c0715eaf9a5 ref at commit 21be78b3f518 by the OctoCounts tokei engine on 2026-09-16. 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 youssofal/MTPLX to commit 21be78b3f518, 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 85.4% of all lines, comments represent 7.0%, and the repository averages 390 code lines per file. Python accounts for 65.2% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 380 | 264,082 | 231,503 | 11,397 | 21,182 |
| Swift | 267 | 103,756 | 84,656 | 11,055 | 8,045 |
| JSON | 103 | 23,661 | 23,661 | 0 | 0 |
| Metal Shading Language | 19 | 6,269 | 4,425 | 1,094 | 750 |
| TSX | 38 | 3,493 | 3,248 | 76 | 169 |
| Shell | 22 | 2,834 | 2,404 | 219 | 211 |
| C++ | 6 | 2,672 | 2,170 | 204 | 298 |
| TypeScript | 10 | 1,243 | 1,060 | 82 | 101 |
| Jinja2 | 2 | 596 | 589 | 3 | 4 |
| C Header | 4 | 618 | 498 | 44 | 76 |
| JavaScript | 1 | 273 | 234 | 39 | 0 |
| CMake | 2 | 172 | 134 | 13 | 25 |

Top language (Python 65.2%). Generated at 2026-09-16T19:55:16.812103493+00:00. Canonical report: https://octocounts.com/github/youssofal/MTPLX

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/youssofal/MTPLX/commit/21be78b3f51820eecef020e5e4855c0715eaf9a5?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 youssofal/MTPLX have?

youssofal/MTPLX has 415,422 total lines, including 354,885 code lines, 28,981 comment lines, and 31,556 blank lines.

### How was the youssofal/MTPLX line count measured?

OctoCounts resolved the public GitHub repository to commit 21be78b3f518, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for youssofal/MTPLX?

This OctoCounts report was generated from 21be78b3f51820eecef020e5e4855c0715eaf9a5 at commit 21be78b3f518 on 2026-09-16T19:55:16.812103493+00:00.

## Similar repository reports

- [confident-ai/deepeval](https://octocounts.com/github/confident-ai/deepeval) — Python, 349,423 code lines
- [jax-ml/jax](https://octocounts.com/github/jax-ml/jax) — Python, 341,924 code lines
- [marketcalls/openalgo](https://octocounts.com/github/marketcalls/openalgo) — Python, 325,059 code lines
- [kvcache-ai/ktransformers](https://octocounts.com/github/kvcache-ai/ktransformers) — Python, 322,955 code lines
- [TencentCloud/Octop](https://octocounts.com/github/TencentCloud/Octop) — Python, 318,965 code lines
- [hugohe3/ppt-master](https://octocounts.com/github/hugohe3/ppt-master) — Python, 315,447 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)