# reppiks490/new SLOC report

> reppiks490/new: 18,022 code lines at commit f7e79cc3dcad, counted with tokei-14.0.0 on 2026-10-21. Saved result b4362fdbc452fc239985bcef7260e70ddc352a975fb4604fb19654a1950df08e.

reppiks490/new has 18,022 source lines of code out of 22,151 total lines across 181 files, counted from the claude/effort-status-tjzcfd ref at commit f7e79cc3dcad by the OctoCounts tokei engine on 2026-10-21. 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 reppiks490/new to commit f7e79cc3dcad, 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 81.4% of all lines, comments represent 7.0%, and the repository averages 100 code lines per file. Python accounts for 75.1% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 148 | 16,304 | 13,543 | 498 | 2,263 |
| JSON | 12 | 3,134 | 3,134 | 0 | 0 |
| JavaScript | 8 | 1,163 | 1,114 | 14 | 35 |
| YAML | 2 | 119 | 110 | 0 | 9 |
| Shell | 2 | 47 | 41 | 6 | 0 |
| TOML | 1 | 37 | 32 | 0 | 5 |
| Dockerfile | 1 | 45 | 30 | 7 | 8 |
| HTML | 1 | 10 | 10 | 0 | 0 |
| CSS | 1 | 9 | 8 | 0 | 1 |
| Markdown | 3 | 527 | 0 | 412 | 115 |
| Plain Text | 2 | 756 | 0 | 614 | 142 |

Top language (Python 75.1%). Generated at 2026-10-21T04:12:16.869413158Z. Canonical report: https://octocounts.com/github/reppiks490/new/commit/f7e79cc3dcadd34c60aca10c1e5192d769c18b63?reportId=b4362fdbc452fc239985bcef7260e70ddc352a975fb4604fb19654a1950df08e&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/reppiks490/new/commit/f7e79cc3dcadd34c60aca10c1e5192d769c18b63?reportId=b4362fdbc452fc239985bcef7260e70ddc352a975fb4604fb19654a1950df08e&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 reppiks490/new have?

reppiks490/new has 22,151 total lines, including 18,022 code lines, 1,551 comment lines, and 2,578 blank lines.

### How was the reppiks490/new line count measured?

OctoCounts resolved the public GitHub repository to commit f7e79cc3dcad, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for reppiks490/new?

This OctoCounts report was generated from claude/effort-status-tjzcfd at commit f7e79cc3dcad on 2026-10-21T04:12:16.869413158Z.

## Similar repository reports

- [ayushh0110/ScreenMind](https://octocounts.com/github/ayushh0110/ScreenMind) — Python, 18,033 code lines
- [DeepBlueDynamics/grubcrawler](https://octocounts.com/github/DeepBlueDynamics/grubcrawler) — Python, 17,967 code lines
- [FTShare-Lab/FTShare-skill](https://octocounts.com/github/FTShare-Lab/FTShare-skill) — Python, 17,963 code lines
- [guardrails-ai/guardrails](https://octocounts.com/github/guardrails-ai/guardrails) — Python, 18,106 code lines
- [jonatasgrosman/findpapers](https://octocounts.com/github/jonatasgrosman/findpapers) — Python, 17,926 code lines
- [aodianjun/PowerFeeWRT](https://octocounts.com/github/aodianjun/PowerFeeWRT) — Python, 17,841 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)