# DayuanJiang/next-ai-draw-io SLOC report

> As of 2026-09-17 (commit 027cd88c9088), DayuanJiang/next-ai-draw-io contains 69,039 total lines: 62,685 code, 3,306 comments, 3,048 blank, across 185 files in 11 languages (top: JSON 50.3%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

DayuanJiang/next-ai-draw-io has 62,685 source lines of code out of 69,039 total lines across 185 files, counted from the 027cd88c9088ad5b2d6deff4641dc47ded06afd2 ref at commit 027cd88c9088 by the OctoCounts tokei engine on 2026-09-17. 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 DayuanJiang/next-ai-draw-io to commit 027cd88c9088, 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 90.8% of all lines, comments represent 4.8%, and the repository averages 339 code lines per file. JSON accounts for 50.3% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 15 | 31,519 | 31,519 | 0 | 0 |
| TypeScript | 84 | 19,032 | 15,485 | 2,026 | 1,521 |
| TSX | 54 | 15,320 | 13,803 | 541 | 976 |
| JavaScript | 6 | 1,179 | 947 | 107 | 125 |
| CSS | 2 | 758 | 608 | 34 | 116 |
| HTML | 1 | 117 | 101 | 4 | 12 |
| YAML | 2 | 126 | 101 | 14 | 11 |
| SVG | 15 | 91 | 86 | 5 | 0 |
| Dockerfile | 1 | 76 | 35 | 19 | 22 |
| Markdown | 4 | 756 | 0 | 505 | 251 |
| Plain Text | 1 | 65 | 0 | 51 | 14 |

Top language (JSON 50.3%). Generated at 2026-09-17T00:51:00.343423961+00:00. Canonical report: https://octocounts.com/github/DayuanJiang/next-ai-draw-io

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/DayuanJiang/next-ai-draw-io/commit/027cd88c9088ad5b2d6deff4641dc47ded06afd2?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 DayuanJiang/next-ai-draw-io have?

DayuanJiang/next-ai-draw-io has 69,039 total lines, including 62,685 code lines, 3,306 comment lines, and 3,048 blank lines.

### How was the DayuanJiang/next-ai-draw-io line count measured?

OctoCounts resolved the public GitHub repository to commit 027cd88c9088, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for DayuanJiang/next-ai-draw-io?

This OctoCounts report was generated from 027cd88c9088ad5b2d6deff4641dc47ded06afd2 at commit 027cd88c9088 on 2026-09-17T00:51:00.343423961+00:00.

## Similar repository reports

- [KoWming/MoviePilot-Tools](https://octocounts.com/github/KoWming/MoviePilot-Tools) — JSON, 62,271 code lines
- [generatenu/selfserve](https://octocounts.com/github/generatenu/selfserve) — JSON, 61,902 code lines
- [DeaglePC/TeslamateCyberUI](https://octocounts.com/github/DeaglePC/TeslamateCyberUI) — JSON, 65,932 code lines
- [logicrw/awesome-jev-projects](https://octocounts.com/github/logicrw/awesome-jev-projects) — JSON, 57,811 code lines
- [awslabs/osml-web-app](https://octocounts.com/github/awslabs/osml-web-app) — JSON, 57,303 code lines
- [tech-leads-club/agent-skills](https://octocounts.com/github/tech-leads-club/agent-skills) — JSON, 68,147 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)