SMNETSTUDIO/WeChat-AI
SMNETSTUDIO/WeChat-AI has 39,647 source lines of code out of 47,042 total lines across 171 files, counted from the master ref at commit 69f263ea9946 by the OctoCounts tokei engine on 2026-10-22. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.
As of 2026-10-22 (commit 69f263ea9946), SMNETSTUDIO/WeChat-AI contains 47,042 total lines: 39,647 code, 4,027 comments, 3,368 blank, across 171 files in 11 languages (top: TypeScript 85.1%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving SMNETSTUDIO/WeChat-AI to commit 69f263ea9946, 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 84.3% of all lines, comments represent 8.6%, and the repository averages 232 code lines per file. TypeScript accounts for 85.1% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| TypeScript | 124 | 39974 | 33737 | 3462 | 2775 |
| HTML | 5 | 2490 | 2367 | 49 | 74 |
| JavaScript | 6 | 1569 | 1344 | 102 | 123 |
| YAML | 3 | 1473 | 1327 | 26 | 120 |
| 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 85.1%). Generated at .
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Report FAQ
How many lines of code does SMNETSTUDIO/WeChat-AI have?
SMNETSTUDIO/WeChat-AI has 47,042 total lines, including 39,647 code lines, 4,027 comment lines, and 3,368 blank lines.
How was the SMNETSTUDIO/WeChat-AI line count measured?
OctoCounts resolved the public GitHub repository to commit 69f263ea9946, 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 69f263ea9946 on 2026-10-22T05:15:14.832112598+00:00.
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Play the growth animation for SMNETSTUDIO/WeChat-AI on this page — 39,647 code lines across 11 languages, counted by tokei.