# jingyaogong/minimind SLOC report

> As of 2026-09-19 (commit cc312c1cc614), jingyaogong/minimind contains 39,998 total lines: 35,490 code, 2,714 comments, 1,794 blank, across 29 files in 4 languages (top: JSON 88.8%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

jingyaogong/minimind has 35,490 source lines of code out of 39,998 total lines across 29 files, counted from the cc312c1cc614bc371cd85dcbcbc1d3ba1590f364 ref at commit cc312c1cc614 by the OctoCounts tokei engine on 2026-09-19. 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 cc312c1cc614, 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 88.7% of all lines, comments represent 6.8%, and the repository averages 1,224 code lines per file. JSON accounts for 88.8% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 2 | 31,526 | 31,526 | 0 | 0 |
| Python | 22 | 4,711 | 3,964 | 173 | 574 |
| Markdown | 4 | 3,727 | 0 | 2,507 | 1,220 |
| Plain Text | 1 | 34 | 0 | 34 | 0 |

Top language (JSON 88.8%). Generated at 2026-09-19T01:21:06.927892572+00:00. Canonical report: https://octocounts.com/github/jingyaogong/minimind

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/jingyaogong/minimind/commit/cc312c1cc614bc371cd85dcbcbc1d3ba1590f364?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 jingyaogong/minimind have?

jingyaogong/minimind has 39,998 total lines, including 35,490 code lines, 2,714 comment lines, and 1,794 blank lines.

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

OctoCounts resolved the public GitHub repository to commit cc312c1cc614, 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 cc312c1cc614bc371cd85dcbcbc1d3ba1590f364 at commit cc312c1cc614 on 2026-09-19T01:21:06.927892572+00:00.

## Similar repository reports

- [regseb/castkodi](https://octocounts.com/github/regseb/castkodi) — JSON, 35,297 code lines
- [venslabs/vens](https://octocounts.com/github/venslabs/vens) — JSON, 35,064 code lines
- [Aksh1810/Gitvize](https://octocounts.com/github/Aksh1810/Gitvize) — JSON, 36,265 code lines
- [jamsocket/y-sweet](https://octocounts.com/github/jamsocket/y-sweet) — JSON, 34,532 code lines
- [freestylefly/awesome-gpt-image-2](https://octocounts.com/github/freestylefly/awesome-gpt-image-2) — JSON, 34,383 code lines
- [Fosowl/agenticSeek](https://octocounts.com/github/Fosowl/agenticSeek) — JSON, 37,220 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)