# tirth8205/code-review-graph SLOC report

> tirth8205/code-review-graph: 67,776 code lines at commit d72e8fbf7ef5, counted with tokei-14.0.0 on 2026-10-15. Saved result 97d64bf1c5b37278610e66c300fdd737348ddae184a0b5ee56f7aef50e187819.

tirth8205/code-review-graph has 67,776 source lines of code out of 85,694 total lines across 141 files, counted from the staging ref at commit d72e8fbf7ef5 by the OctoCounts tokei engine on 2026-10-15. 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 tirth8205/code-review-graph to commit d72e8fbf7ef5, 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 79.1% of all lines, comments represent 11.2%, and the repository averages 481 code lines per file. Python accounts for 87.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 84 | 70,251 | 58,983 | 4,833 | 6,435 |
| JSON | 4 | 4,389 | 4,389 | 0 | 0 |
| TypeScript | 17 | 4,979 | 3,819 | 570 | 590 |
| YAML | 7 | 482 | 369 | 71 | 42 |
| TOML | 1 | 182 | 145 | 24 | 13 |
| JavaScript | 2 | 53 | 45 | 3 | 5 |
| Shell | 1 | 25 | 16 | 4 | 5 |
| SVG | 1 | 12 | 10 | 2 | 0 |
| Markdown | 24 | 5,321 | 0 | 4,105 | 1,216 |

Top language (Python 87.0%). Generated at 2026-10-15T14:59:06.525134662Z. Canonical report: https://octocounts.com/github/tirth8205/code-review-graph/commit/d72e8fbf7ef571b668c26a4222a284bf7792e7a1?reportId=97d64bf1c5b37278610e66c300fdd737348ddae184a0b5ee56f7aef50e187819&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/tirth8205/code-review-graph/commit/d72e8fbf7ef571b668c26a4222a284bf7792e7a1?reportId=97d64bf1c5b37278610e66c300fdd737348ddae184a0b5ee56f7aef50e187819&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 tirth8205/code-review-graph have?

tirth8205/code-review-graph has 85,694 total lines, including 67,776 code lines, 9,612 comment lines, and 8,306 blank lines.

### How was the tirth8205/code-review-graph line count measured?

OctoCounts resolved the public GitHub repository to commit d72e8fbf7ef5, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for tirth8205/code-review-graph?

This OctoCounts report was generated from staging at commit d72e8fbf7ef5 on 2026-10-15T14:59:06.525134662Z.

## Similar repository reports

- [asgeirtj/system_prompts_leaks](https://octocounts.com/github/asgeirtj/system_prompts_leaks) — Python, 67,705 code lines
- [open-energy-transition/pypsa-eur](https://octocounts.com/github/open-energy-transition/pypsa-eur) — Python, 67,932 code lines
- [myfanhua/turb-gpt-free-register](https://octocounts.com/github/myfanhua/turb-gpt-free-register) — Python, 67,607 code lines
- [opendatalab/MinerU](https://octocounts.com/github/opendatalab/MinerU) — Python, 68,270 code lines
- [oraios/serena](https://octocounts.com/github/oraios/serena) — Python, 68,347 code lines
- [opendatalab/mineru](https://octocounts.com/github/opendatalab/mineru) — Python, 66,924 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)