# pan8664716/HGTV SLOC report

> pan8664716/HGTV: 15,292 code lines at commit 8fef5af0be24, counted with tokei-14.0.0 on 2026-10-21. Saved result 4473a69c84d34a1ffc26fc8bc540107c128af84abfc0cb29d269810d00ecb89f.

pan8664716/HGTV has 15,292 source lines of code out of 22,235 total lines across 120 files, counted from the main ref at commit 8fef5af0be24 by the OctoCounts tokei engine on 2026-10-21. 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 pan8664716/HGTV to commit 8fef5af0be24, 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 68.8% of all lines, comments represent 25.1%, and the repository averages 127 code lines per file. Kotlin accounts for 76.7% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Kotlin | 80 | 17,393 | 11,731 | 4,863 | 799 |
| Python | 10 | 3,563 | 2,984 | 183 | 396 |
| Shell | 6 | 509 | 271 | 191 | 47 |
| XML | 16 | 175 | 115 | 60 | 0 |
| HTML | 1 | 119 | 110 | 3 | 6 |
| Batch | 1 | 99 | 77 | 0 | 22 |
| Prolog | 1 | 4 | 4 | 0 | 0 |
| Markdown | 4 | 352 | 0 | 267 | 85 |
| Plain Text | 1 | 21 | 0 | 17 | 4 |

Top language (Kotlin 76.7%). Generated at 2026-10-21T04:29:51.951000753Z. Canonical report: https://octocounts.com/github/pan8664716/HGTV/commit/8fef5af0be241c95b79be90c1726178502372e42?reportId=4473a69c84d34a1ffc26fc8bc540107c128af84abfc0cb29d269810d00ecb89f&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/pan8664716/HGTV/commit/8fef5af0be241c95b79be90c1726178502372e42?reportId=4473a69c84d34a1ffc26fc8bc540107c128af84abfc0cb29d269810d00ecb89f&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 pan8664716/HGTV have?

pan8664716/HGTV has 22,235 total lines, including 15,292 code lines, 5,584 comment lines, and 1,359 blank lines.

### How was the pan8664716/HGTV line count measured?

OctoCounts resolved the public GitHub repository to commit 8fef5af0be24, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for pan8664716/HGTV?

This OctoCounts report was generated from main at commit 8fef5af0be24 on 2026-10-21T04:29:51.951000753Z.

## Similar repository reports

- [CodandoTV/Netflix-CMP](https://octocounts.com/github/CodandoTV/Netflix-CMP) — Kotlin, 14,655 code lines
- [AdamLewis73/spotter](https://octocounts.com/github/AdamLewis73/spotter) — Kotlin, 16,149 code lines
- [mlm-games/fluffy](https://octocounts.com/github/mlm-games/fluffy) — Kotlin, 16,490 code lines
- [accrescent/server](https://octocounts.com/github/accrescent/server) — Kotlin, 17,169 code lines
- [n08i40k/tg-streaks](https://octocounts.com/github/n08i40k/tg-streaks) — Kotlin, 17,365 code lines
- [0xfnzero/gps-locator](https://octocounts.com/github/0xfnzero/gps-locator) — Kotlin, 13,187 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)
- [React Native vs Flutter](https://octocounts.com/compare/react-native-vs-flutter)
- [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)
