# thinkinaixyz/deepchat SLOC report

> 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%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

thinkinaixyz/deepchat has 866,431 source lines of code out of 924,632 total lines across 3,040 files, counted from the dev ref at commit d42106e54355 by the OctoCounts tokei engine on 2026-09-02. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.

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.

## Repository size insights

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 | 425,919 | 425,919 | 0 | 0 |
| TypeScript | 1,447 | 419,212 | 378,553 | 6,673 | 33,986 |
| JavaScript | 57 | 33,489 | 30,485 | 273 | 2,731 |
| YAML | 3 | 14,298 | 13,099 | 0 | 1,199 |
| Python | 37 | 9,887 | 7,454 | 903 | 1,530 |
| Vue | 522 | 8,003 | 7,145 | 33 | 825 |
| CSS | 6 | 1,865 | 1,643 | 39 | 183 |
| SVG | 460 | 1,308 | 1,291 | 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 2026-09-02T08:17:49.067558556+00:00. Canonical report: https://octocounts.com/github/thinkinaixyz/deepchat

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/thinkinaixyz/deepchat/commit/d42106e5435594bc288caa252ed3198722455f46?analysis=%7B%22ignoredDirs%22%3A%5B%5D%2C%22ignoredLanguages%22%3A%5B%5D%2C%22profile%22%3A%22default%22%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does thinkinaixyz/deepchat have?

thinkinaixyz/deepchat has 924,632 total lines, including 866,431 code lines, 15,536 comment lines, and 42,665 blank lines.

### How was the thinkinaixyz/deepchat line count measured?

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.

### What commit was counted for thinkinaixyz/deepchat?

This OctoCounts report was generated from dev at commit d42106e54355 on 2026-09-02T08:17:49.067558556+00:00.

## Similar repository reports

- [embeddings-benchmark/mteb](https://octocounts.com/github/embeddings-benchmark/mteb) — JSON, 868,146 code lines
- [WitherAce/Pleasure-Horizons](https://octocounts.com/github/WitherAce/Pleasure-Horizons) — JSON, 855,518 code lines
- [princeton-nlp/intercode](https://octocounts.com/github/princeton-nlp/intercode) — JSON, 892,057 code lines
- [joernio/joern](https://octocounts.com/github/joernio/joern) — JSON, 898,139 code lines
- [ThinkInAIXYZ/deepchat](https://octocounts.com/github/ThinkInAIXYZ/deepchat) — JSON, 901,792 code lines
- [LanceZPF/agent-as-a-router](https://octocounts.com/github/LanceZPF/agent-as-a-router) — JSON, 906,466 code lines

## Related OctoCounts pages

- [Recently analyzed repositories](https://octocounts.com/recent)
- [Popular SLOC reports](https://octocounts.com/popular)
- [Trending GitHub repositories](https://octocounts.com/trending)
- [Hall of Monoliths](https://octocounts.com/hall-of-monoliths)
- [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter)
- [Counting methodology](https://octocounts.com/docs/methodology)
- [SLOC and code metrics glossary](https://octocounts.com/docs/glossary)
- [Original research: how filtering changes SLOC counts](https://octocounts.com/research)
- [OctoCounts API docs](https://octocounts.com/docs/api)