As of 2026-08-23 (commit 4908db1deab7), Tencent/AI-Infra-Guard contains 533,902 total lines: 464,399 code, 36,073 comments, 33,430 blank, across 5,447 files in 18 languages (top: JSON 52.3%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving Tencent/AI-Infra-Guard to commit 4908db1deab7, 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.
This is a large codebase by counted code lines. Code represents 87.0% of all lines, comments represent 6.8%, and the repository averages 85 code lines per file. JSON accounts for 52.3% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| JSON | 48 | 243000 | 242997 | 0 | 3 |
| YAML | 4270 | 116207 | 103906 | 360 | 11941 |
| Python | 629 | 78914 | 59281 | 11134 | 8499 |
| TSX | 104 | 27540 | 24539 | 1106 | 1895 |
| Go | 110 | 25551 | 18508 | 4164 | 2879 |
| TOML | 5 | 10880 | 9713 | 9 | 1158 |
| TypeScript | 28 | 2253 | 1765 | 267 | 221 |
| JavaScript | 5 | 1517 | 1434 | 64 | 19 |
| XML | 19 | 884 | 833 | 1 | 50 |
| SVG | 7 | 454 | 449 | 5 | 0 |
| CSS | 3 | 378 | 297 | 13 | 68 |
| Shell | 3 | 323 | 224 | 47 | 52 |
Top language (JSON 52.3%). Generated at .
Tencent/AI-Infra-Guard has 533,902 total lines, including 464,399 code lines, 36,073 comment lines, and 33,430 blank lines.
OctoCounts resolved the public GitHub repository to commit 4908db1deab7, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
This OctoCounts report was generated from main at commit 4908db1deab7 on 2026-08-23T03:15:11.973871442+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: