# Enigma-Soul/format-it SLOC report

> As of 2026-09-20 (commit 8d7186275ade), Enigma-Soul/format-it contains 3,713 total lines: 2,824 code, 281 comments, 608 blank, across 26 files in 6 languages (top: Python 63.3%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

Enigma-Soul/format-it has 2,824 source lines of code out of 3,713 total lines across 26 files, counted from the 8d7186275ade7b4ee4f68780273be9f7e722247b ref at commit 8d7186275ade by the OctoCounts tokei engine on 2026-09-20. 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 Enigma-Soul/format-it to commit 8d7186275ade, 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 76.1% of all lines, comments represent 7.6%, and the repository averages 109 code lines per file. Python accounts for 63.3% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 17 | 2,184 | 1,789 | 36 | 359 |
| CSS | 1 | 550 | 461 | 28 | 61 |
| JavaScript | 1 | 436 | 354 | 24 | 58 |
| HTML | 1 | 121 | 110 | 0 | 11 |
| TOML | 2 | 126 | 110 | 0 | 16 |
| Markdown | 4 | 296 | 0 | 193 | 103 |

Top language (Python 63.3%). Generated at 2026-09-20T00:09:21.521249863+00:00. Canonical report: https://octocounts.com/github/Enigma-Soul/format-it

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/Enigma-Soul/format-it/commit/8d7186275ade7b4ee4f68780273be9f7e722247b?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 Enigma-Soul/format-it have?

Enigma-Soul/format-it has 3,713 total lines, including 2,824 code lines, 281 comment lines, and 608 blank lines.

### How was the Enigma-Soul/format-it line count measured?

OctoCounts resolved the public GitHub repository to commit 8d7186275ade, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for Enigma-Soul/format-it?

This OctoCounts report was generated from 8d7186275ade7b4ee4f68780273be9f7e722247b at commit 8d7186275ade on 2026-09-20T00:09:21.521249863+00:00.

## Similar repository reports

- [Purrple-hub/Scraper](https://octocounts.com/github/Purrple-hub/Scraper) — Python, 2,818 code lines
- [GhostTypes/ff-5mp-hass](https://octocounts.com/github/GhostTypes/ff-5mp-hass) — Python, 2,837 code lines
- [zai-org/GLM-Image](https://octocounts.com/github/zai-org/GLM-Image) — Python, 2,842 code lines
- [ryotairi/backstage](https://octocounts.com/github/ryotairi/backstage) — Python, 2,805 code lines
- [chenliu-1996/figures4papers](https://octocounts.com/github/chenliu-1996/figures4papers) — Python, 2,851 code lines
- [ChenLiu-1996/figures4papers](https://octocounts.com/github/ChenLiu-1996/figures4papers) — Python, 2,851 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)