# ajunca/noctalia-dropdown-terminal SLOC report

> As of 2026-09-05 (commit ab33ac8b6c67), ajunca/noctalia-dropdown-terminal contains 4,319 total lines: 3,018 code, 667 comments, 634 blank, across 18 files in 6 languages (top: C++ 62.2%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

ajunca/noctalia-dropdown-terminal has 3,018 source lines of code out of 4,319 total lines across 18 files, counted from the ab33ac8b6c674fe6b74276eccbc11a39b77e6db0 ref at commit ab33ac8b6c67 by the OctoCounts tokei engine on 2026-09-05. 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 ajunca/noctalia-dropdown-terminal to commit ab33ac8b6c67, 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 69.9% of all lines, comments represent 15.4%, and the repository averages 168 code lines per file. C++ accounts for 62.2% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| C++ | 5 | 2,500 | 1,878 | 269 | 353 |
| C Header | 6 | 803 | 519 | 159 | 125 |
| QML | 2 | 621 | 482 | 66 | 73 |
| Nix | 3 | 122 | 100 | 4 | 18 |
| CMake | 1 | 62 | 39 | 13 | 10 |
| Markdown | 1 | 211 | 0 | 156 | 55 |

Top language (C++ 62.2%). Generated at 2026-09-05T12:11:12.977940229+00:00. Canonical report: https://octocounts.com/github/ajunca/noctalia-dropdown-terminal

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/ajunca/noctalia-dropdown-terminal/commit/ab33ac8b6c674fe6b74276eccbc11a39b77e6db0?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 ajunca/noctalia-dropdown-terminal have?

ajunca/noctalia-dropdown-terminal has 4,319 total lines, including 3,018 code lines, 667 comment lines, and 634 blank lines.

### How was the ajunca/noctalia-dropdown-terminal line count measured?

OctoCounts resolved the public GitHub repository to commit ab33ac8b6c67, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for ajunca/noctalia-dropdown-terminal?

This OctoCounts report was generated from ab33ac8b6c674fe6b74276eccbc11a39b77e6db0 at commit ab33ac8b6c67 on 2026-09-05T12:11:12.977940229+00:00.

## Similar repository reports

- [PacktPublishing/Data-Structures-and-Algorithms-with-the-CPP-STL](https://octocounts.com/github/PacktPublishing/Data-Structures-and-Algorithms-with-the-CPP-STL) — C++, 2,945 code lines
- [AdrUlb/Uplink](https://octocounts.com/github/AdrUlb/Uplink) — C++, 3,125 code lines
- [Professor0Ice/Dx12GraphicsLab](https://octocounts.com/github/Professor0Ice/Dx12GraphicsLab) — C++, 2,694 code lines
- [tmwilliamlin168/CP-YouTube](https://octocounts.com/github/tmwilliamlin168/CP-YouTube) — C++, 2,640 code lines
- [razordemo/Insert-No-Coins](https://octocounts.com/github/razordemo/Insert-No-Coins) — C++, 2,634 code lines
- [Kbairk/CG_Lab_4](https://octocounts.com/github/Kbairk/CG_Lab_4) — C++, 3,541 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)
- [Electron vs Tauri](https://octocounts.com/compare/electron-vs-tauri)
- [Godot vs Bevy](https://octocounts.com/compare/godot-vs-bevy)
- [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)
