# datawhalechina/all-in-rag SLOC report

> As of 2026-10-01 (commit cec956e80ae2), datawhalechina/all-in-rag contains 62,641 total lines: 38,664 code, 15,819 comments, 8,158 blank, across 443 files in 7 languages (top: SVG 63.5%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

datawhalechina/all-in-rag has 38,664 source lines of code out of 62,641 total lines across 443 files, counted from the main ref at commit cec956e80ae2 by the OctoCounts tokei engine on 2026-10-01. 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 datawhalechina/all-in-rag to commit cec956e80ae2, 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 61.7% of all lines, comments represent 25.3%, and the repository averages 87 code lines per file. SVG accounts for 63.5% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| SVG | 1 | 24,550 | 24,550 | 0 | 0 |
| Python | 81 | 17,394 | 13,501 | 1,171 | 2,722 |
| JSON | 14 | 482 | 482 | 0 | 0 |
| YAML | 2 | 126 | 111 | 8 | 7 |
| TOML | 1 | 21 | 20 | 0 | 1 |
| Markdown | 334 | 19,794 | 0 | 14,446 | 5,348 |
| Plain Text | 10 | 274 | 0 | 194 | 80 |

Top language (SVG 63.5%). Generated at 2026-10-01T06:24:11.228091794+00:00. Canonical report: https://octocounts.com/github/datawhalechina/all-in-rag

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/datawhalechina/all-in-rag/commit/cec956e80ae28d6c0ca84c9d39dddcf61ad633fd?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&reportId=faf2b90fe69dc63c8c1a178a901361a244d13d5ecaa0f696dcef6e14f47556e0).

## Report FAQ

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

datawhalechina/all-in-rag has 62,641 total lines, including 38,664 code lines, 15,819 comment lines, and 8,158 blank lines.

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

OctoCounts resolved the public GitHub repository to commit cec956e80ae2, 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 main at commit cec956e80ae2 on 2026-10-01T06:24:11.228091794+00:00.

## Similar repository reports

- [TheAmeliaMay/RedrawStateBorders](https://octocounts.com/github/TheAmeliaMay/RedrawStateBorders) — SVG, 34,912 code lines
- [An-anonymous-coder/Open-Source-Everything](https://octocounts.com/github/An-anonymous-coder/Open-Source-Everything) — SVG, 32,464 code lines
- [mufeedvh/code2prompt](https://octocounts.com/github/mufeedvh/code2prompt) — SVG, 31,713 code lines
- [XiaoMaColtAI/math-modeling-skill](https://octocounts.com/github/XiaoMaColtAI/math-modeling-skill) — SVG, 30,484 code lines
- [criterion-rs/criterion.rs](https://octocounts.com/github/criterion-rs/criterion.rs) — SVG, 51,717 code lines
- [DG-InClass/DG-InClass.github.io](https://octocounts.com/github/DG-InClass/DG-InClass.github.io) — SVG, 27,769 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)