# huggingface/open-r1 SLOC report

> As of 2026-09-16 (commit 0e06249d1caa), huggingface/open-r1 contains 7,012 total lines: 4,932 code, 1,032 comments, 1,048 blank, across 60 files in 6 languages (top: Python 87.1%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

huggingface/open-r1 has 4,932 source lines of code out of 7,012 total lines across 60 files, counted from the 0e06249d1caa3c1d27a93e590929531291c9c493 ref at commit 0e06249d1caa 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 huggingface/open-r1 to commit 0e06249d1caa, 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 70.3% of all lines, comments represent 14.7%, and the repository averages 82 code lines per file. Python accounts for 87.1% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 35 | 5,580 | 4,294 | 514 | 772 |
| YAML | 15 | 616 | 529 | 57 | 30 |
| Makefile | 1 | 53 | 40 | 3 | 10 |
| Forge Config | 1 | 41 | 37 | 1 | 3 |
| Shell | 3 | 62 | 32 | 19 | 11 |
| Markdown | 5 | 660 | 0 | 438 | 222 |

Top language (Python 87.1%). Generated at 2026-09-16T16:27:47.070975246+00:00. Canonical report: https://octocounts.com/github/huggingface/open-r1

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/huggingface/open-r1/commit/0e06249d1caa3c1d27a93e590929531291c9c493?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 huggingface/open-r1 have?

huggingface/open-r1 has 7,012 total lines, including 4,932 code lines, 1,032 comment lines, and 1,048 blank lines.

### How was the huggingface/open-r1 line count measured?

OctoCounts resolved the public GitHub repository to commit 0e06249d1caa, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for huggingface/open-r1?

This OctoCounts report was generated from 0e06249d1caa3c1d27a93e590929531291c9c493 at commit 0e06249d1caa on 2026-09-16T16:27:47.070975246+00:00.

## Similar repository reports

- [p-e-w/heretic](https://octocounts.com/github/p-e-w/heretic) — Python, 4,939 code lines
- [zzulpf/TV](https://octocounts.com/github/zzulpf/TV) — Python, 4,954 code lines
- [katha-ai/MovieGraphs-Dataset-CVPR2018](https://octocounts.com/github/katha-ai/MovieGraphs-Dataset-CVPR2018) — Python, 4,975 code lines
- [ArThirtyFour/forejo-notifi-bot](https://octocounts.com/github/ArThirtyFour/forejo-notifi-bot) — Python, 5,036 code lines
- [ArThirtyFour/MXU-modules](https://octocounts.com/github/ArThirtyFour/MXU-modules) — Python, 4,825 code lines
- [MxUserBot/MXU-modules](https://octocounts.com/github/MxUserBot/MXU-modules) — Python, 4,825 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)