SMNETSTUDIO/WeChat-AI SLOC report
As of 2026-08-12 (commit ba81e304c174), SMNETSTUDIO/WeChat-AI contains 48,340 total lines: 39,439 code, 5,137 comments, 3,764 blank, across 179 files in 10 languages (top: TypeScript 85.1%). Counted with tokei via OctoCounts.
Repository size insights
This is a medium-sized codebase by counted code lines. Code represents 81.6% of all lines, comments represent 10.6%, and the repository averages 220 code lines per file. TypeScript accounts for 85.1% 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 | 13 | 686 | 550 | 7 | 129 |
| JSON | 13 | 238 | 238 | 0 | 0 |
| Dockerfile | 2 | 121 | 58 | 38 | 25 |
| TOML | 1 | 30 | 13 | 15 | 2 |
| Markdown | 15 | 2074 | 0 | 1527 | 547 |
| Plain Text | 1 | 9 | 0 | 9 | 0 |
Top language (TypeScript 85.1%). Generated at 2026-08-12T23:04:26.904527656+00:00.
Report FAQ
How many lines of code does SMNETSTUDIO/WeChat-AI have?
SMNETSTUDIO/WeChat-AI has 48,340 total lines, including 39,439 code lines, 5,137 comment lines, and 3,764 blank lines.
How was the SMNETSTUDIO/WeChat-AI line count measured?
OctoCounts resolved the public GitHub repository to commit ba81e304c174, 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 ba81e304c174 on 2026-08-12T23:04:26.904527656+00:00.