# huanglizhuo/librivox_lang_support SLOC report

> As of 2026-09-11 (commit c718e80f455e), huanglizhuo/librivox_lang_support contains 5,474 total lines: 3,867 code, 943 comments, 664 blank, across 42 files in 7 languages (top: JSON 59.1%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

huanglizhuo/librivox_lang_support has 3,867 source lines of code out of 5,474 total lines across 42 files, counted from the c718e80f455e40a0ccfdbc885eb7db1e2346b750 ref at commit c718e80f455e by the OctoCounts tokei engine on 2026-09-11. 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 huanglizhuo/librivox_lang_support to commit c718e80f455e, 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 70.6% of all lines, comments represent 17.2%, and the repository averages 92 code lines per file. JSON accounts for 59.1% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 3 | 2,286 | 2,286 | 0 | 0 |
| TypeScript | 25 | 1,302 | 1,099 | 25 | 178 |
| Shell | 5 | 442 | 296 | 57 | 89 |
| SQL | 3 | 219 | 129 | 55 | 35 |
| YAML | 1 | 46 | 43 | 0 | 3 |
| Dockerfile | 1 | 24 | 14 | 0 | 10 |
| Markdown | 4 | 1,155 | 0 | 806 | 349 |

Top language (JSON 59.1%). Generated at 2026-09-11T03:18:49.443505035+00:00. Canonical report: https://octocounts.com/github/huanglizhuo/librivox_lang_support

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/huanglizhuo/librivox_lang_support/commit/c718e80f455e40a0ccfdbc885eb7db1e2346b750?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 huanglizhuo/librivox_lang_support have?

huanglizhuo/librivox_lang_support has 5,474 total lines, including 3,867 code lines, 943 comment lines, and 664 blank lines.

### How was the huanglizhuo/librivox_lang_support line count measured?

OctoCounts resolved the public GitHub repository to commit c718e80f455e, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for huanglizhuo/librivox_lang_support?

This OctoCounts report was generated from c718e80f455e40a0ccfdbc885eb7db1e2346b750 at commit c718e80f455e on 2026-09-11T03:18:49.443505035+00:00.

## Similar repository reports

- [DavidAnson/vscode-markdownlint](https://octocounts.com/github/DavidAnson/vscode-markdownlint) — JSON, 3,796 code lines
- [zlxxlz1026/awesome-gpt-6-astra-casebook](https://octocounts.com/github/zlxxlz1026/awesome-gpt-6-astra-casebook) — JSON, 3,792 code lines
- [echoVic/blade-computer-use](https://octocounts.com/github/echoVic/blade-computer-use) — JSON, 3,772 code lines
- [L2ncE/pi-btw](https://octocounts.com/github/L2ncE/pi-btw) — JSON, 3,763 code lines
- [nutsarecoll/bitebud](https://octocounts.com/github/nutsarecoll/bitebud) — JSON, 4,012 code lines
- [arsfy/katonei_bot](https://octocounts.com/github/arsfy/katonei_bot) — JSON, 3,641 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)