# ENA-QWQ/GPTforMC SLOC report

> As of 2026-07-19 (commit 62dea3c308f6), ENA-QWQ/GPTforMC contains 1,358 total lines: 1,157 code, 68 comments, 133 blank, across 9 files in 4 languages (top: Java 86.0%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving ENA-QWQ/GPTforMC to commit 62dea3c308f6, 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 85.2% of all lines, comments represent 5.0%, and the repository averages 129 code lines per file. Java accounts for 86.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Java | 4 | 1,092 | 995 | 0 | 97 |
| XML | 1 | 86 | 82 | 0 | 4 |
| YAML | 3 | 173 | 80 | 63 | 30 |
| Markdown | 1 | 7 | 0 | 5 | 2 |

Top language (Java 86.0%). Generated at 2026-07-19T16:50:27.377512744+00:00. Canonical report: https://octocounts.com/github/ENA-QWQ/GPTforMC

## Report FAQ

### How many lines of code does ENA-QWQ/GPTforMC have?

ENA-QWQ/GPTforMC has 1,358 total lines, including 1,157 code lines, 68 comment lines, and 133 blank lines.

### How was the ENA-QWQ/GPTforMC line count measured?

OctoCounts resolved the public GitHub repository to commit 62dea3c308f6, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for ENA-QWQ/GPTforMC?

This OctoCounts report was generated from main at commit 62dea3c308f6 on 2026-07-19T16:50:27.377512744+00:00.

## Similar repository reports

- [gongchangyou/dolphincache](https://octocounts.com/github/gongchangyou/dolphincache) — Java, 1,176 code lines
- [lingbopro/NekoLib](https://octocounts.com/github/lingbopro/NekoLib) — Java, 1,072 code lines
- [openairplay/open-airplay](https://octocounts.com/github/openairplay/open-airplay) — Java, 1,321 code lines
- [bedatadriven/jackson-datatype-jts](https://octocounts.com/github/bedatadriven/jackson-datatype-jts) — Java, 938 code lines
- [LAKSHYA0505/2300320100138](https://octocounts.com/github/LAKSHYA0505/2300320100138) — Java, 1,440 code lines
- [lingbopro/lingbos-sussy-mod](https://octocounts.com/github/lingbopro/lingbos-sussy-mod) — Java, 648 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)