# Purrple-hub/Dataset-Cleaner SLOC report

> As of 2026-09-01 (commit e73a7a7ef58b), Purrple-hub/Dataset-Cleaner contains 10,513 total lines: 8,048 code, 942 comments, 1,523 blank, across 58 files in 6 languages (top: Python 99.1%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving Purrple-hub/Dataset-Cleaner to commit e73a7a7ef58b, 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 76.6% of all lines, comments represent 9.0%, and the repository averages 139 code lines per file. Python accounts for 99.1% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 48 | 9,878 | 7,974 | 507 | 1,397 |
| TOML | 1 | 46 | 39 | 0 | 7 |
| CSS | 1 | 21 | 20 | 1 | 0 |
| SVG | 2 | 15 | 15 | 0 | 0 |
| Markdown | 1 | 186 | 0 | 130 | 56 |
| Plain Text | 5 | 367 | 0 | 304 | 63 |

Top language (Python 99.1%). Generated at 2026-09-01T15:48:53.476328491+00:00. Canonical report: https://octocounts.com/github/Purrple-hub/Dataset-Cleaner

## Report FAQ

### How many lines of code does Purrple-hub/Dataset-Cleaner have?

Purrple-hub/Dataset-Cleaner has 10,513 total lines, including 8,048 code lines, 942 comment lines, and 1,523 blank lines.

### How was the Purrple-hub/Dataset-Cleaner line count measured?

OctoCounts resolved the public GitHub repository to commit e73a7a7ef58b, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for Purrple-hub/Dataset-Cleaner?

This OctoCounts report was generated from main at commit e73a7a7ef58b on 2026-09-01T15:48:53.476328491+00:00.

## Similar repository reports

- [zzh4206/Desktop-Pet](https://octocounts.com/github/zzh4206/Desktop-Pet) — Python, 8,040 code lines
- [frt321for/building-energy-twin](https://octocounts.com/github/frt321for/building-energy-twin) — Python, 7,983 code lines
- [MaxApiTeam/PyMax](https://octocounts.com/github/MaxApiTeam/PyMax) — Python, 8,139 code lines
- [sgl-project/mini-sglang](https://octocounts.com/github/sgl-project/mini-sglang) — Python, 8,146 code lines
- [tauricresearch/tradingagents](https://octocounts.com/github/tauricresearch/tradingagents) — Python, 8,167 code lines
- [pytest-dev/pytest-xdist](https://octocounts.com/github/pytest-dev/pytest-xdist) — Python, 8,173 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)
- [OctoCounts API docs](https://octocounts.com/docs/api)