# lingbopro/NekoLib SLOC report

> As of 2026-08-02 (commit 97f0050587fe), lingbopro/NekoLib contains 1,600 total lines: 1,072 code, 320 comments, 208 blank, across 22 files in 5 languages (top: Java 76.3%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving lingbopro/NekoLib to commit 97f0050587fe, 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 67.0% of all lines, comments represent 20.0%, and the repository averages 49 code lines per file. Java accounts for 76.3% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Java | 17 | 1,177 | 818 | 200 | 159 |
| Shell | 1 | 248 | 103 | 119 | 26 |
| Batch | 1 | 82 | 64 | 0 | 18 |
| JSON | 2 | 53 | 53 | 0 | 0 |
| TOML | 1 | 40 | 34 | 1 | 5 |

Top language (Java 76.3%). Generated at 2026-08-02T12:41:11.217730722+00:00. Canonical report: https://octocounts.com/github/lingbopro/NekoLib

## Report FAQ

### How many lines of code does lingbopro/NekoLib have?

lingbopro/NekoLib has 1,600 total lines, including 1,072 code lines, 320 comment lines, and 208 blank lines.

### How was the lingbopro/NekoLib line count measured?

OctoCounts resolved the public GitHub repository to commit 97f0050587fe, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for lingbopro/NekoLib?

This OctoCounts report was generated from architectury/1.21.11 at commit 97f0050587fe on 2026-08-02T12:41:11.217730722+00:00.

## Similar repository reports

- [ENA-QWQ/GPTforMC](https://octocounts.com/github/ENA-QWQ/GPTforMC) — Java, 1,157 code lines
- [gongchangyou/dolphincache](https://octocounts.com/github/gongchangyou/dolphincache) — Java, 1,176 code lines
- [bedatadriven/jackson-datatype-jts](https://octocounts.com/github/bedatadriven/jackson-datatype-jts) — Java, 938 code lines
- [openairplay/open-airplay](https://octocounts.com/github/openairplay/open-airplay) — Java, 1,321 code lines
- [LAKSHYA0505/2300320100138](https://octocounts.com/github/LAKSHYA0505/2300320100138) — Java, 1,440 code lines
- [fmfi-svt/andrvotr](https://octocounts.com/github/fmfi-svt/andrvotr) — Java, 1,466 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)
- [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)
- [OctoCounts API docs](https://octocounts.com/docs/api)