# jingyaogong/minimind SLOC report

> jingyaogong/minimind: 35,461 code lines at commit f659b55761b7, counted with tokei-14.0.0 on 2026-10-17. Saved result 7ab848fd3dd908897ecb8057b120ecb2bb0a3c3c4689fa2fde19f4475f8263df.

jingyaogong/minimind has 35,461 source lines of code out of 39,956 total lines across 29 files, counted from the f659b55761b754d306bd140573493a6543cafd7f ref at commit f659b55761b7 by the OctoCounts tokei engine on 2026-10-17. 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 jingyaogong/minimind to commit f659b55761b7, 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 88.8% of all lines, comments represent 6.8%, and the repository averages 1,223 code lines per file. JSON accounts for 88.9% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 2 | 31,526 | 31,526 | 0 | 0 |
| Python | 22 | 4,667 | 3,935 | 165 | 567 |
| Markdown | 4 | 3,727 | 0 | 2,507 | 1,220 |
| Plain Text | 1 | 36 | 0 | 36 | 0 |

Top language (JSON 88.9%). Generated at 2026-10-17T15:05:49.938849703Z. Canonical report: https://octocounts.com/github/jingyaogong/minimind/commit/f659b55761b754d306bd140573493a6543cafd7f?reportId=7ab848fd3dd908897ecb8057b120ecb2bb0a3c3c4689fa2fde19f4475f8263df&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/jingyaogong/minimind/commit/f659b55761b754d306bd140573493a6543cafd7f?reportId=7ab848fd3dd908897ecb8057b120ecb2bb0a3c3c4689fa2fde19f4475f8263df&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 jingyaogong/minimind have?

jingyaogong/minimind has 39,956 total lines, including 35,461 code lines, 2,708 comment lines, and 1,787 blank lines.

### How was the jingyaogong/minimind line count measured?

OctoCounts resolved the public GitHub repository to commit f659b55761b7, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for jingyaogong/minimind?

This OctoCounts report was generated from f659b55761b754d306bd140573493a6543cafd7f at commit f659b55761b7 on 2026-10-17T15:05:49.938849703Z.

## Similar repository reports

- [regseb/castkodi](https://octocounts.com/github/regseb/castkodi) — JSON, 35,297 code lines
- [bruhnn/BD2ModManager](https://octocounts.com/github/bruhnn/BD2ModManager) — JSON, 35,670 code lines
- [YangHeng66/interview-coder-cn](https://octocounts.com/github/YangHeng66/interview-coder-cn) — JSON, 35,190 code lines
- [xianyu110/awesome-gpt-6-astra](https://octocounts.com/github/xianyu110/awesome-gpt-6-astra) — JSON, 34,919 code lines
- [davaded/frontend-art-direction](https://octocounts.com/github/davaded/frontend-art-direction) — JSON, 36,020 code lines
- [tabahi/bournemouth-forced-aligner](https://octocounts.com/github/tabahi/bournemouth-forced-aligner) — JSON, 34,853 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)