# MTandHJ/freerec SLOC report

> As of 2026-09-17 (commit 82ab735b0dec), MTandHJ/freerec contains 18,754 total lines: 15,089 code, 1,363 comments, 2,302 blank, across 120 files in 5 languages (top: Python 93.7%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

MTandHJ/freerec has 15,089 source lines of code out of 18,754 total lines across 120 files, counted from the 82ab735b0decaf7843b778a5cf5e8bba5cb617c6 ref at commit 82ab735b0dec by the OctoCounts tokei engine on 2026-09-17. 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 MTandHJ/freerec to commit 82ab735b0dec, 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 80.5% of all lines, comments represent 7.3%, and the repository averages 126 code lines per file. Python accounts for 93.7% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 55 | 16,004 | 14,131 | 196 | 1,677 |
| YAML | 37 | 905 | 778 | 0 | 127 |
| JSON | 1 | 108 | 108 | 0 | 0 |
| TOML | 1 | 83 | 72 | 0 | 11 |
| Markdown | 26 | 1,654 | 0 | 1,167 | 487 |

Top language (Python 93.7%). Generated at 2026-09-17T07:21:51.684040470+00:00. Canonical report: https://octocounts.com/github/MTandHJ/freerec

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/MTandHJ/freerec/commit/82ab735b0decaf7843b778a5cf5e8bba5cb617c6?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 MTandHJ/freerec have?

MTandHJ/freerec has 18,754 total lines, including 15,089 code lines, 1,363 comment lines, and 2,302 blank lines.

### How was the MTandHJ/freerec line count measured?

OctoCounts resolved the public GitHub repository to commit 82ab735b0dec, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for MTandHJ/freerec?

This OctoCounts report was generated from 82ab735b0decaf7843b778a5cf5e8bba5cb617c6 at commit 82ab735b0dec on 2026-09-17T07:21:51.684040470+00:00.

## Similar repository reports

- [torvalds/GuitarPedal](https://octocounts.com/github/torvalds/GuitarPedal) — Python, 15,116 code lines
- [fmfi-svt/votr](https://octocounts.com/github/fmfi-svt/votr) — Python, 15,168 code lines
- [Lightmarey/Danus](https://octocounts.com/github/Lightmarey/Danus) — Python, 15,288 code lines
- [moona3k/mlx-qwen3-asr](https://octocounts.com/github/moona3k/mlx-qwen3-asr) — Python, 15,426 code lines
- [ai-infra-curriculum/ai-infra-engineer-learning](https://octocounts.com/github/ai-infra-curriculum/ai-infra-engineer-learning) — Python, 15,433 code lines
- [zhongyu09/openchatbi](https://octocounts.com/github/zhongyu09/openchatbi) — Python, 14,728 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)
