# rharkor/caching-for-turbo SLOC report

> rharkor/caching-for-turbo: 16,560 code lines at commit 347ddfd1c03b, counted with tokei-14.0.0 on 2026-10-10. Saved result f2518f711989c87ca30675fb48a37d13c12f74e9b5c81bf0fdebf277ef40dcb2.

rharkor/caching-for-turbo has 16,560 source lines of code out of 17,138 total lines across 32 files, counted from the 347ddfd1c03bfbfe5719d083d3f7a74123212943 ref at commit 347ddfd1c03b by the OctoCounts tokei engine on 2026-10-10. 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 rharkor/caching-for-turbo to commit 347ddfd1c03b, 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 96.6% of all lines, comments represent 1.8%, and the repository averages 518 code lines per file. JSON accounts for 91.5% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 5 | 15,160 | 15,160 | 0 | 0 |
| TypeScript | 22 | 1,531 | 1,272 | 91 | 168 |
| YAML | 1 | 77 | 73 | 2 | 2 |
| JavaScript | 1 | 27 | 26 | 0 | 1 |
| BASH | 1 | 59 | 23 | 27 | 9 |
| Shell | 1 | 12 | 6 | 3 | 3 |
| Markdown | 1 | 272 | 0 | 179 | 93 |

Top language (JSON 91.5%). Generated at 2026-10-10T00:31:47.566326263Z. Canonical report: https://octocounts.com/github/rharkor/caching-for-turbo/commit/347ddfd1c03bfbfe5719d083d3f7a74123212943?reportId=f2518f711989c87ca30675fb48a37d13c12f74e9b5c81bf0fdebf277ef40dcb2&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/rharkor/caching-for-turbo/commit/347ddfd1c03bfbfe5719d083d3f7a74123212943?reportId=f2518f711989c87ca30675fb48a37d13c12f74e9b5c81bf0fdebf277ef40dcb2&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does rharkor/caching-for-turbo have?

rharkor/caching-for-turbo has 17,138 total lines, including 16,560 code lines, 302 comment lines, and 276 blank lines.

### How was the rharkor/caching-for-turbo line count measured?

OctoCounts resolved the public GitHub repository to commit 347ddfd1c03b, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for rharkor/caching-for-turbo?

This OctoCounts report was generated from 347ddfd1c03bfbfe5719d083d3f7a74123212943 at commit 347ddfd1c03b on 2026-10-10T00:31:47.566326263Z.

## Similar repository reports

- [jin-zi-xuan/kaobuddy-pwa](https://octocounts.com/github/jin-zi-xuan/kaobuddy-pwa) — JSON, 12,479 code lines
- [LakshayAggarwal12/WorkForceIQ](https://octocounts.com/github/LakshayAggarwal12/WorkForceIQ) — JSON, 12,382 code lines
- [eumemic/ai-legion](https://octocounts.com/github/eumemic/ai-legion) — JSON, 12,351 code lines
- [adonisjs/otel](https://octocounts.com/github/adonisjs/otel) — JSON, 12,538 code lines
- [mermaid-js/mermaid-cli](https://octocounts.com/github/mermaid-js/mermaid-cli) — JSON, 12,579 code lines
- [blinker-iot/blinker-customizer](https://octocounts.com/github/blinker-iot/blinker-customizer) — JSON, 12,580 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)