# verl-project/verl-recipe SLOC report

> verl-project/verl-recipe: 71,152 code lines at commit 81d782765e6d, counted with tokei-14.0.0 on 2026-10-14. Saved result a221480605fac526c6118fe66f4c9dc6cc7777aaaef52ab16989231562e63b7d.

verl-project/verl-recipe has 71,152 source lines of code out of 99,452 total lines across 586 files, counted from the main ref at commit 81d782765e6d by the OctoCounts tokei engine on 2026-10-14. 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 verl-project/verl-recipe to commit 81d782765e6d, 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 71.5% of all lines, comments represent 14.6%, and the repository averages 121 code lines per file. Python accounts for 73.7% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 278 | 69,996 | 52,416 | 7,768 | 9,812 |
| Shell | 122 | 15,057 | 12,559 | 1,096 | 1,402 |
| YAML | 89 | 7,523 | 5,292 | 1,317 | 914 |
| JSON | 5 | 316 | 316 | 0 | 0 |
| TOML | 3 | 228 | 169 | 40 | 19 |
| Jinja2 | 1 | 154 | 154 | 0 | 0 |
| ReStructuredText | 1 | 220 | 152 | 0 | 68 |
| SVG | 1 | 135 | 94 | 17 | 24 |
| Markdown | 50 | 5,425 | 0 | 3,865 | 1,560 |
| Plain Text | 36 | 398 | 0 | 383 | 15 |

Top language (Python 73.7%). Generated at 2026-10-14T12:53:36.958159664Z. Canonical report: https://octocounts.com/github/verl-project/verl-recipe/commit/81d782765e6ddcd3d0371d64acee3a1d5645ef73?reportId=a221480605fac526c6118fe66f4c9dc6cc7777aaaef52ab16989231562e63b7d&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/verl-project/verl-recipe/commit/81d782765e6ddcd3d0371d64acee3a1d5645ef73?reportId=a221480605fac526c6118fe66f4c9dc6cc7777aaaef52ab16989231562e63b7d&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 verl-project/verl-recipe have?

verl-project/verl-recipe has 99,452 total lines, including 71,152 code lines, 14,486 comment lines, and 13,814 blank lines.

### How was the verl-project/verl-recipe line count measured?

OctoCounts resolved the public GitHub repository to commit 81d782765e6d, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for verl-project/verl-recipe?

This OctoCounts report was generated from main at commit 81d782765e6d on 2026-10-14T12:53:36.958159664Z.

## Similar repository reports

- [ManimCommunity/manim](https://octocounts.com/github/ManimCommunity/manim) — Python, 71,118 code lines
- [cathrynlavery/diagram-design](https://octocounts.com/github/cathrynlavery/diagram-design) — Python, 71,290 code lines
- [henriquesebastiao/downtify](https://octocounts.com/github/henriquesebastiao/downtify) — Python, 70,854 code lines
- [Lightricks/LTX-2](https://octocounts.com/github/Lightricks/LTX-2) — Python, 71,741 code lines
- [LeonChaoX/qinyan-academic-skills](https://octocounts.com/github/LeonChaoX/qinyan-academic-skills) — Python, 71,845 code lines
- [meta-recsys/generative-recommenders](https://octocounts.com/github/meta-recsys/generative-recommenders) — Python, 70,425 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)