# dondai1234/master-fetch SLOC report

> As of 2026-09-17 (commit 86d1b1329c0e), dondai1234/master-fetch contains 21,028 total lines: 14,511 code, 3,852 comments, 2,665 blank, across 51 files in 8 languages (top: Python 94.5%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

dondai1234/master-fetch has 14,511 source lines of code out of 21,028 total lines across 51 files, counted from the 86d1b1329c0eed6133f29e3effe6a40a29f9dcdc ref at commit 86d1b1329c0e 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 dondai1234/master-fetch to commit 86d1b1329c0e, 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 69.0% of all lines, comments represent 18.3%, and the repository averages 285 code lines per file. Python accounts for 94.5% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 39 | 16,698 | 13,718 | 1,180 | 1,800 |
| TypeScript | 1 | 725 | 641 | 47 | 37 |
| TOML | 1 | 90 | 67 | 17 | 6 |
| Dockerfile | 1 | 84 | 33 | 40 | 11 |
| JSON | 2 | 28 | 28 | 0 | 0 |
| YAML | 1 | 65 | 24 | 31 | 10 |
| Markdown | 5 | 3,300 | 0 | 2,507 | 793 |
| Plain Text | 1 | 38 | 0 | 30 | 8 |

Top language (Python 94.5%). Generated at 2026-09-17T05:19:21.725597975+00:00. Canonical report: https://octocounts.com/github/dondai1234/master-fetch

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/dondai1234/master-fetch/commit/86d1b1329c0eed6133f29e3effe6a40a29f9dcdc?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 dondai1234/master-fetch have?

dondai1234/master-fetch has 21,028 total lines, including 14,511 code lines, 3,852 comment lines, and 2,665 blank lines.

### How was the dondai1234/master-fetch line count measured?

OctoCounts resolved the public GitHub repository to commit 86d1b1329c0e, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for dondai1234/master-fetch?

This OctoCounts report was generated from 86d1b1329c0eed6133f29e3effe6a40a29f9dcdc at commit 86d1b1329c0e on 2026-09-17T05:19:21.725597975+00:00.

## Similar repository reports

- [vwxyzjn/cleanrl](https://octocounts.com/github/vwxyzjn/cleanrl) — Python, 14,654 code lines
- [tabahi/bournemouth-forced-aligner](https://octocounts.com/github/tabahi/bournemouth-forced-aligner) — Python, 14,716 code lines
- [zhongyu09/openchatbi](https://octocounts.com/github/zhongyu09/openchatbi) — Python, 14,728 code lines
- [sanneel/dropos](https://octocounts.com/github/sanneel/dropos) — Python, 14,224 code lines
- [LeoKemp223/llm2lvgl](https://octocounts.com/github/LeoKemp223/llm2lvgl) — Python, 14,168 code lines
- [angall1/CSVMusic](https://octocounts.com/github/angall1/CSVMusic) — Python, 14,139 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)
- [TensorFlow vs PyTorch](https://octocounts.com/compare/tensorflow-vs-pytorch)
- [Django vs Ruby on Rails](https://octocounts.com/compare/django-vs-rails)
- [Laravel vs Django](https://octocounts.com/compare/laravel-vs-django)
- [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)
