# nanbingxyz/5ire SLOC report

> As of 2026-09-17 (commit d55f353ea507), nanbingxyz/5ire contains 83,318 total lines: 74,128 code, 5,601 comments, 3,589 blank, across 355 files in 8 languages (top: JSON 50.0%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

nanbingxyz/5ire has 74,128 source lines of code out of 83,318 total lines across 355 files, counted from the d55f353ea507b192afdd77982fa03125e8a84084 ref at commit d55f353ea507 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 nanbingxyz/5ire to commit d55f353ea507, 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 89.0% of all lines, comments represent 6.7%, and the repository averages 209 code lines per file. JSON accounts for 50.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 24 | 37,064 | 37,064 | 0 | 0 |
| TypeScript | 193 | 28,344 | 21,790 | 4,220 | 2,334 |
| TSX | 107 | 16,238 | 14,163 | 1,077 | 998 |
| Sass | 11 | 1,049 | 918 | 8 | 123 |
| SQL | 12 | 191 | 178 | 12 | 1 |
| JavaScript | 2 | 14 | 13 | 1 | 0 |
| CSS | 2 | 3 | 2 | 1 | 0 |
| Markdown | 4 | 415 | 0 | 282 | 133 |

Top language (JSON 50.0%). Generated at 2026-09-17T02:56:08.655595102+00:00. Canonical report: https://octocounts.com/github/nanbingxyz/5ire

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/nanbingxyz/5ire/commit/d55f353ea507b192afdd77982fa03125e8a84084?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 nanbingxyz/5ire have?

nanbingxyz/5ire has 83,318 total lines, including 74,128 code lines, 5,601 comment lines, and 3,589 blank lines.

### How was the nanbingxyz/5ire line count measured?

OctoCounts resolved the public GitHub repository to commit d55f353ea507, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for nanbingxyz/5ire?

This OctoCounts report was generated from d55f353ea507b192afdd77982fa03125e8a84084 at commit d55f353ea507 on 2026-09-17T02:56:08.655595102+00:00.

## Similar repository reports

- [teslamate-org/teslamate](https://octocounts.com/github/teslamate-org/teslamate) — JSON, 73,800 code lines
- [xinglie/report-designer](https://octocounts.com/github/xinglie/report-designer) — JSON, 75,568 code lines
- [AnInsomniacy/motrix-next](https://octocounts.com/github/AnInsomniacy/motrix-next) — JSON, 72,653 code lines
- [Gracker/awesome-android-ai-dev-sources](https://octocounts.com/github/Gracker/awesome-android-ai-dev-sources) — JSON, 72,052 code lines
- [openstyles/stylus](https://octocounts.com/github/openstyles/stylus) — JSON, 76,762 code lines
- [Ansh-699/VedaAi](https://octocounts.com/github/Ansh-699/VedaAi) — JSON, 77,153 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)