# PadishahIII/RFGuess SLOC report

> PadishahIII/RFGuess: 10,511 code lines at commit 50c7156a0d9d, counted with tokei-14.0.0 on 2026-10-05. Saved result 8c6c984c4d9ce33fade422db2716466f3eb57e479f9f326992125850fcbcf7ab.

PadishahIII/RFGuess has 10,511 source lines of code out of 21,804 total lines across 91 files, counted from the 50c7156a0d9de81c929ae0f1683ceda3d20e3227 ref at commit 50c7156a0d9d by the OctoCounts tokei engine on 2026-10-05. 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 PadishahIII/RFGuess to commit 50c7156a0d9d, 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 48.2% of all lines, comments represent 41.6%, and the repository averages 116 code lines per file. Python accounts for 98.1% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 75 | 12,792 | 10,307 | 448 | 2,037 |
| RPM Specfile | 2 | 100 | 88 | 2 | 10 |
| SQL | 1 | 115 | 74 | 33 | 8 |
| TOML | 1 | 23 | 20 | 0 | 3 |
| YAML | 1 | 15 | 15 | 0 | 0 |
| JSON | 1 | 7 | 7 | 0 | 0 |
| Markdown | 2 | 615 | 0 | 447 | 168 |
| Plain Text | 8 | 8,137 | 0 | 8,137 | 0 |

Top language (Python 98.1%). Generated at 2026-10-05T20:23:04.835940486Z. Canonical report: https://octocounts.com/github/PadishahIII/RFGuess/commit/50c7156a0d9de81c929ae0f1683ceda3d20e3227?reportId=8c6c984c4d9ce33fade422db2716466f3eb57e479f9f326992125850fcbcf7ab&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/PadishahIII/RFGuess/commit/50c7156a0d9de81c929ae0f1683ceda3d20e3227?reportId=8c6c984c4d9ce33fade422db2716466f3eb57e479f9f326992125850fcbcf7ab&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 PadishahIII/RFGuess have?

PadishahIII/RFGuess has 21,804 total lines, including 10,511 code lines, 9,067 comment lines, and 2,226 blank lines.

### How was the PadishahIII/RFGuess line count measured?

OctoCounts resolved the public GitHub repository to commit 50c7156a0d9d, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for PadishahIII/RFGuess?

This OctoCounts report was generated from 50c7156a0d9de81c929ae0f1683ceda3d20e3227 at commit 50c7156a0d9d on 2026-10-05T20:23:04.835940486Z.

## Similar repository reports

- [ranaroussi/quantstats](https://octocounts.com/github/ranaroussi/quantstats) — Python, 10,452 code lines
- [hitrading/nodetdx](https://octocounts.com/github/hitrading/nodetdx) — Python, 10,576 code lines
- [slima4/claude-tui](https://octocounts.com/github/slima4/claude-tui) — Python, 10,576 code lines
- [Kartikey-97/CyberMesh](https://octocounts.com/github/Kartikey-97/CyberMesh) — Python, 10,429 code lines
- [3-manifolds/Sage_macOS](https://octocounts.com/github/3-manifolds/Sage_macOS) — Python, 10,421 code lines
- [sbetko/catap](https://octocounts.com/github/sbetko/catap) — Python, 10,416 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)