# AsyncFuncAI/deepwiki-open SLOC report

> As of 2026-09-16 (commit d92819a9c9f3), AsyncFuncAI/deepwiki-open contains 34,744 total lines: 27,601 code, 3,898 comments, 3,245 blank, across 133 files in 13 languages (top: JSON 44.2%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

AsyncFuncAI/deepwiki-open has 27,601 source lines of code out of 34,744 total lines across 133 files, counted from the d92819a9c9f3b99416e3580ff235fc9d3adf8b89 ref at commit d92819a9c9f3 by the OctoCounts tokei engine on 2026-09-16. 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 AsyncFuncAI/deepwiki-open to commit d92819a9c9f3, 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 79.4% of all lines, comments represent 11.2%, and the repository averages 208 code lines per file. JSON accounts for 44.2% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 19 | 12,197 | 12,195 | 0 | 2 |
| TSX | 25 | 8,327 | 7,149 | 489 | 689 |
| Python | 46 | 8,537 | 6,973 | 397 | 1,167 |
| TypeScript | 15 | 1,157 | 900 | 138 | 119 |
| CSS | 1 | 151 | 120 | 11 | 20 |
| YAML | 3 | 131 | 101 | 24 | 6 |
| Dockerfile | 1 | 114 | 82 | 15 | 17 |
| TOML | 1 | 40 | 35 | 0 | 5 |
| JavaScript | 3 | 29 | 24 | 0 | 5 |
| INI | 1 | 16 | 16 | 0 | 0 |
| SVG | 5 | 5 | 5 | 0 | 0 |
| Shell | 1 | 1 | 1 | 0 | 0 |

Top language (JSON 44.2%). Generated at 2026-09-16T21:51:45.059590491+00:00. Canonical report: https://octocounts.com/github/AsyncFuncAI/deepwiki-open

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/AsyncFuncAI/deepwiki-open/commit/d92819a9c9f3b99416e3580ff235fc9d3adf8b89?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 AsyncFuncAI/deepwiki-open have?

AsyncFuncAI/deepwiki-open has 34,744 total lines, including 27,601 code lines, 3,898 comment lines, and 3,245 blank lines.

### How was the AsyncFuncAI/deepwiki-open line count measured?

OctoCounts resolved the public GitHub repository to commit d92819a9c9f3, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for AsyncFuncAI/deepwiki-open?

This OctoCounts report was generated from d92819a9c9f3b99416e3580ff235fc9d3adf8b89 at commit d92819a9c9f3 on 2026-09-16T21:51:45.059590491+00:00.

## Similar repository reports

- [aws-solutions-library-samples/guidance-for-processing-overhead-imagery-on-aws](https://octocounts.com/github/aws-solutions-library-samples/guidance-for-processing-overhead-imagery-on-aws) — JSON, 27,592 code lines
- [doxas/twigl](https://octocounts.com/github/doxas/twigl) — JSON, 27,768 code lines
- [JacyCui/static-analysis](https://octocounts.com/github/JacyCui/static-analysis) — JSON, 27,227 code lines
- [mimaraka/aviutl-plugin-curve_editor](https://octocounts.com/github/mimaraka/aviutl-plugin-curve_editor) — JSON, 26,843 code lines
- [aewallin/opencamlib](https://octocounts.com/github/aewallin/opencamlib) — JSON, 26,836 code lines
- [at-inc/aside-benchmarks](https://octocounts.com/github/at-inc/aside-benchmarks) — JSON, 28,383 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)
