# Nano-AI/process-desk SLOC report

> As of 2026-08-22 (commit 212413382f98), Nano-AI/process-desk contains 11,717 total lines: 8,966 code, 1,801 comments, 950 blank, across 54 files in 10 languages (top: Java 43.3%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

Nano-AI/process-desk has 8,966 source lines of code out of 11,717 total lines across 54 files, counted from the main ref at commit 212413382f98 by the OctoCounts tokei engine on 2026-08-22. 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 Nano-AI/process-desk to commit 212413382f98, 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 small codebase by counted code lines. Code represents 76.5% of all lines, comments represent 15.4%, and the repository averages 166 code lines per file. Java accounts for 43.3% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Java | 32 | 5,696 | 3,878 | 1,217 | 601 |
| JSON | 4 | 3,347 | 3,347 | 0 | 0 |
| TSX | 6 | 777 | 631 | 89 | 57 |
| CSS | 1 | 761 | 606 | 29 | 126 |
| TypeScript | 5 | 339 | 255 | 48 | 36 |
| Shell | 2 | 309 | 139 | 137 | 33 |
| Batch | 1 | 82 | 64 | 0 | 18 |
| YAML | 1 | 97 | 34 | 56 | 7 |
| HTML | 1 | 12 | 12 | 0 | 0 |
| Markdown | 1 | 297 | 0 | 225 | 72 |

Top language (Java 43.3%). Generated at 2026-08-22T18:25:45.228653957+00:00. Canonical report: https://octocounts.com/github/Nano-AI/process-desk

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/Nano-AI/process-desk/commit/212413382f9886a641d33699a6d0e635855eef4c?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 Nano-AI/process-desk have?

Nano-AI/process-desk has 11,717 total lines, including 8,966 code lines, 1,801 comment lines, and 950 blank lines.

### How was the Nano-AI/process-desk line count measured?

OctoCounts resolved the public GitHub repository to commit 212413382f98, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for Nano-AI/process-desk?

This OctoCounts report was generated from main at commit 212413382f98 on 2026-08-22T18:25:45.228653957+00:00.

## Similar repository reports

- [Soft-Where-21/Compiler_2023_ref_Charles2530](https://octocounts.com/github/Soft-Where-21/Compiler_2023_ref_Charles2530) — Java, 9,004 code lines
- [emerald000/clue-helper](https://octocounts.com/github/emerald000/clue-helper) — Java, 9,235 code lines
- [jspecify/jspecify](https://octocounts.com/github/jspecify/jspecify) — Java, 8,457 code lines
- [Code-4-Community/hands-across-the-sea-backend](https://octocounts.com/github/Code-4-Community/hands-across-the-sea-backend) — Java, 9,505 code lines
- [RikkaApps/Sui](https://octocounts.com/github/RikkaApps/Sui) — Java, 9,517 code lines
- [17810286827/league-akari-server](https://octocounts.com/github/17810286827/league-akari-server) — Java, 10,082 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)
- [MongoDB vs PostgreSQL](https://octocounts.com/compare/mongodb-vs-postgres)
- [Kubernetes vs Docker Compose](https://octocounts.com/compare/kubernetes-vs-docker-compose)
- [Kubernetes vs Terraform](https://octocounts.com/compare/kubernetes-vs-terraform)
- [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)