SMNETSTUDIO/WeChat-AI SLOC report
As of 2026-08-21 (commit e4507db1c99b), SMNETSTUDIO/WeChat-AI contains 46,718 total lines: 39,452 code, 3,929 comments, 3,337 blank, across 167 files in 11 languages (top: TypeScript 85.0%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving SMNETSTUDIO/WeChat-AI to commit e4507db1c99b, 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 84.4% of all lines, comments represent 8.4%, and the repository averages 236 code lines per file. TypeScript accounts for 85.0% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| TypeScript | 120 | 39657 | 33548 | 3364 | 2745 |
| HTML | 5 | 2489 | 2366 | 49 | 74 |
| JavaScript | 6 | 1569 | 1344 | 102 | 123 |
| YAML | 3 | 1467 | 1322 | 26 | 119 |
| Python | 11 | 606 | 487 | 6 | 113 |
| JSON | 13 | 238 | 238 | 0 | 0 |
| SVG | 1 | 76 | 76 | 0 | 0 |
| Dockerfile | 2 | 121 | 58 | 38 | 25 |
| TOML | 1 | 30 | 13 | 15 | 2 |
| Markdown | 4 | 456 | 0 | 320 | 136 |
| Plain Text | 1 | 9 | 0 | 9 | 0 |
Top language (TypeScript 85.0%). Generated at 2026-08-21T02:33:02.884465962+00:00.
Report FAQ
How many lines of code does SMNETSTUDIO/WeChat-AI have?
SMNETSTUDIO/WeChat-AI has 46,718 total lines, including 39,452 code lines, 3,929 comment lines, and 3,337 blank lines.
How was the SMNETSTUDIO/WeChat-AI line count measured?
OctoCounts resolved the public GitHub repository to commit e4507db1c99b, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
What commit was counted for SMNETSTUDIO/WeChat-AI?
This OctoCounts report was generated from master at commit e4507db1c99b on 2026-08-21T02:33:02.884465962+00:00.
Similar repository reports
Other public repositories with an OctoCounts report, ranked by top language and code size similarity:
- omdsh-dev/DSH-better-sidebar — TypeScript, 40,101 code lines
- involvex/youtube-music-cli — TypeScript, 37,544 code lines
- HelpFreedom/kadr — TypeScript, 41,842 code lines
- slkiser/opencode-quota — TypeScript, 42,172 code lines
- Fission-AI/OpenSpec — TypeScript, 42,218 code lines
- final-run/finalrun-agent — TypeScript, 42,551 code lines