As of 2026-09-02 (commit d42106e54355), ThinkInAIXYZ/deepchat contains 924,632 total lines: 866,431 code, 15,536 comments, 42,665 blank, across 3,040 files in 14 languages (top: JSON 49.2%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving ThinkInAIXYZ/deepchat to commit d42106e54355, 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 93.7% of all lines, comments represent 1.7%, and the repository averages 285 code lines per file. JSON accounts for 49.2% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| JSON | 436 | 425919 | 425919 | 0 | 0 |
| TypeScript | 1447 | 419212 | 378553 | 6673 | 33986 |
| JavaScript | 57 | 33489 | 30485 | 273 | 2731 |
| YAML | 3 | 14298 | 13099 | 0 | 1199 |
| Python | 37 | 9887 | 7454 | 903 | 1530 |
| Vue | 522 | 8003 | 7145 | 33 | 825 |
| CSS | 6 | 1865 | 1643 | 39 | 183 |
| SVG | 460 | 1308 | 1291 | 8 | 9 |
| Shell | 3 | 538 | 440 | 28 | 70 |
| HTML | 9 | 414 | 362 | 30 | 22 |
| XML | 6 | 37 | 37 | 0 | 0 |
| TOML | 1 | 3 | 3 | 0 | 0 |
Top language (JSON 49.2%). Generated at .
ThinkInAIXYZ/deepchat has 924,632 total lines, including 866,431 code lines, 15,536 comment lines, and 42,665 blank lines.
OctoCounts resolved the public GitHub repository to commit d42106e54355, 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 dev at commit d42106e54355 on 2026-09-02T08:18:08.078085352+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: