# jamsocket/y-sweet SLOC report

> As of 2026-09-12 (commit 04b347a3015c), jamsocket/y-sweet contains 37,583 total lines: 34,532 code, 1,048 comments, 2,003 blank, across 224 files in 14 languages (top: JSON 65.5%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

jamsocket/y-sweet has 34,532 source lines of code out of 37,583 total lines across 224 files, counted from the 04b347a3015caa620d226cac77874184f5243c0b ref at commit 04b347a3015c by the OctoCounts tokei engine on 2026-09-12. 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 jamsocket/y-sweet to commit 04b347a3015c, 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 91.9% of all lines, comments represent 2.8%, and the repository averages 154 code lines per file. JSON accounts for 65.5% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 28 | 22,629 | 22,628 | 0 | 1 |
| Rust | 35 | 5,861 | 4,957 | 124 | 780 |
| TSX | 51 | 3,454 | 2,942 | 147 | 365 |
| TypeScript | 37 | 2,817 | 2,061 | 325 | 431 |
| JavaScript | 21 | 750 | 594 | 59 | 97 |
| YAML | 3 | 470 | 453 | 0 | 17 |
| SVG | 7 | 291 | 291 | 0 | 0 |
| Python | 4 | 240 | 197 | 1 | 42 |
| TOML | 7 | 216 | 188 | 1 | 27 |
| CSS | 6 | 181 | 154 | 1 | 26 |
| Dockerfile | 2 | 62 | 33 | 10 | 19 |
| HTML | 1 | 21 | 21 | 0 | 0 |

Top language (JSON 65.5%). Generated at 2026-09-12T02:10:04.538362005+00:00. Canonical report: https://octocounts.com/github/jamsocket/y-sweet

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/jamsocket/y-sweet/commit/04b347a3015caa620d226cac77874184f5243c0b?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 jamsocket/y-sweet have?

jamsocket/y-sweet has 37,583 total lines, including 34,532 code lines, 1,048 comment lines, and 2,003 blank lines.

### How was the jamsocket/y-sweet line count measured?

OctoCounts resolved the public GitHub repository to commit 04b347a3015c, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for jamsocket/y-sweet?

This OctoCounts report was generated from 04b347a3015caa620d226cac77874184f5243c0b at commit 04b347a3015c on 2026-09-12T02:10:04.538362005+00:00.

## Similar repository reports

- [freestylefly/awesome-gpt-image-2](https://octocounts.com/github/freestylefly/awesome-gpt-image-2) — JSON, 34,383 code lines
- [venslabs/vens](https://octocounts.com/github/venslabs/vens) — JSON, 35,064 code lines
- [regseb/castkodi](https://octocounts.com/github/regseb/castkodi) — JSON, 35,297 code lines
- [GenerateNU/3stones](https://octocounts.com/github/GenerateNU/3stones) — JSON, 33,637 code lines
- [jingyaogong/minimind](https://octocounts.com/github/jingyaogong/minimind) — JSON, 35,490 code lines
- [immerjs/immer](https://octocounts.com/github/immerjs/immer) — JSON, 33,467 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)