# pengqiyu123/GLM-phone SLOC report

> As of 2026-09-17 (commit 246c86ff5cdd), pengqiyu123/GLM-phone contains 12,467 total lines: 5,218 code, 4,956 comments, 2,293 blank, across 85 files in 10 languages (top: Kotlin 68.8%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

pengqiyu123/GLM-phone has 5,218 source lines of code out of 12,467 total lines across 85 files, counted from the 246c86ff5cdd3e00ffcd5de4c533deb1ae4069d3 ref at commit 246c86ff5cdd by the OctoCounts tokei engine on 2026-09-17. 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 pengqiyu123/GLM-phone to commit 246c86ff5cdd, 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 41.9% of all lines, comments represent 39.8%, and the repository averages 61 code lines per file. Kotlin accounts for 68.8% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Kotlin | 26 | 4,969 | 3,589 | 741 | 639 |
| XML | 28 | 1,639 | 1,335 | 105 | 199 |
| Shell | 1 | 185 | 127 | 37 | 21 |
| Batch | 1 | 89 | 68 | 0 | 21 |
| JSON | 1 | 37 | 37 | 0 | 0 |
| TOML | 1 | 33 | 30 | 0 | 3 |
| Prolog | 1 | 21 | 18 | 0 | 3 |
| Dream Maker | 2 | 14 | 14 | 0 | 0 |
| Markdown | 23 | 5,366 | 0 | 3,986 | 1,380 |
| Plain Text | 1 | 114 | 0 | 87 | 27 |

Top language (Kotlin 68.8%). Generated at 2026-09-17T05:56:16.776129897+00:00. Canonical report: https://octocounts.com/github/pengqiyu123/GLM-phone

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/pengqiyu123/GLM-phone/commit/246c86ff5cdd3e00ffcd5de4c533deb1ae4069d3?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 pengqiyu123/GLM-phone have?

pengqiyu123/GLM-phone has 12,467 total lines, including 5,218 code lines, 4,956 comment lines, and 2,293 blank lines.

### How was the pengqiyu123/GLM-phone line count measured?

OctoCounts resolved the public GitHub repository to commit 246c86ff5cdd, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for pengqiyu123/GLM-phone?

This OctoCounts report was generated from 246c86ff5cdd3e00ffcd5de4c533deb1ae4069d3 at commit 246c86ff5cdd on 2026-09-17T05:56:16.776129897+00:00.

## Similar repository reports

- [tenkun0317/quick-menu](https://octocounts.com/github/tenkun0317/quick-menu) — Kotlin, 5,119 code lines
- [littleclaw/AutoDing](https://octocounts.com/github/littleclaw/AutoDing) — Kotlin, 5,037 code lines
- [JouTak/AceRace](https://octocounts.com/github/JouTak/AceRace) — Kotlin, 4,684 code lines
- [AndroidCoderPeng/DailyTask](https://octocounts.com/github/AndroidCoderPeng/DailyTask) — Kotlin, 4,483 code lines
- [immat0x1/SimpliFiles](https://octocounts.com/github/immat0x1/SimpliFiles) — Kotlin, 3,940 code lines
- [JouTak/ADHD](https://octocounts.com/github/JouTak/ADHD) — Kotlin, 3,860 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)
- [React Native vs Flutter](https://octocounts.com/compare/react-native-vs-flutter)
- [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)
