# datawhalechina/all-in-rag SLOC report

> As of 2026-09-07 (commit e8a8a6bf89f6), datawhalechina/all-in-rag contains 61,608 total lines: 37,906 code, 15,685 comments, 8,017 blank, across 438 files in 7 languages (top: SVG 64.8%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving datawhalechina/all-in-rag to commit e8a8a6bf89f6, 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 61.5% of all lines, comments represent 25.5%, and the repository averages 87 code lines per file. SVG accounts for 64.8% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| SVG | 1 | 24,550 | 24,550 | 0 | 0 |
| Python | 78 | 16,419 | 12,743 | 1,073 | 2,603 |
| JSON | 14 | 482 | 482 | 0 | 0 |
| YAML | 2 | 126 | 111 | 8 | 7 |
| TOML | 1 | 21 | 20 | 0 | 1 |
| Markdown | 333 | 19,749 | 0 | 14,421 | 5,328 |
| Plain Text | 9 | 261 | 0 | 183 | 78 |

Top language (SVG 64.8%). Generated at 2026-09-07T15:21:03.616543852+00:00. Canonical report: https://octocounts.com/github/datawhalechina/all-in-rag

## Report FAQ

### How many lines of code does datawhalechina/all-in-rag have?

datawhalechina/all-in-rag has 61,608 total lines, including 37,906 code lines, 15,685 comment lines, and 8,017 blank lines.

### How was the datawhalechina/all-in-rag line count measured?

OctoCounts resolved the public GitHub repository to commit e8a8a6bf89f6, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for datawhalechina/all-in-rag?

This OctoCounts report was generated from e8a8a6bf89f6adc14b89e9bf7f7b8382b6d7b9bd at commit e8a8a6bf89f6 on 2026-09-07T15:21:03.616543852+00:00.

## Similar repository reports

- [mufeedvh/code2prompt](https://octocounts.com/github/mufeedvh/code2prompt) — SVG, 29,862 code lines
- [MauritsWilke/mcpfp](https://octocounts.com/github/MauritsWilke/mcpfp) — SVG, 25,815 code lines
- [buchidonggua/dg-ai-notes](https://octocounts.com/github/buchidonggua/dg-ai-notes) — SVG, 25,607 code lines
- [bheisler/criterion.rs](https://octocounts.com/github/bheisler/criterion.rs) — SVG, 51,913 code lines
- [criterion-rs/criterion.rs](https://octocounts.com/github/criterion-rs/criterion.rs) — SVG, 52,144 code lines
- [spring-projects/spring-petclinic](https://octocounts.com/github/spring-projects/spring-petclinic) — SVG, 22,308 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)
- [OctoCounts API docs](https://octocounts.com/docs/api)