# BUPT-GAMMA/PathRAG SLOC report

> As of 2026-09-17 (commit 32567bfc9360), BUPT-GAMMA/PathRAG contains 35,482 total lines: 32,288 code, 1,294 comments, 1,900 blank, across 70 files in 9 languages (top: JSON 71.0%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

BUPT-GAMMA/PathRAG has 32,288 source lines of code out of 35,482 total lines across 70 files, counted from the 32567bfc93605b8393996d5fa9ccdc0edbb865b2 ref at commit 32567bfc9360 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 BUPT-GAMMA/PathRAG to commit 32567bfc9360, 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 91.0% of all lines, comments represent 3.6%, and the repository averages 461 code lines per file. JSON accounts for 71.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 3 | 22,934 | 22,934 | 0 | 0 |
| Python | 24 | 6,584 | 5,365 | 188 | 1,031 |
| JavaScript | 25 | 3,155 | 2,594 | 200 | 361 |
| CSS | 6 | 1,603 | 1,289 | 56 | 258 |
| Batch | 3 | 94 | 55 | 19 | 20 |
| Shell | 2 | 55 | 31 | 12 | 12 |
| HTML | 1 | 20 | 20 | 0 | 0 |
| Markdown | 3 | 899 | 0 | 683 | 216 |
| Plain Text | 3 | 138 | 0 | 136 | 2 |

Top language (JSON 71.0%). Generated at 2026-09-17T03:55:25.594543274+00:00. Canonical report: https://octocounts.com/github/BUPT-GAMMA/PathRAG

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/BUPT-GAMMA/PathRAG/commit/32567bfc93605b8393996d5fa9ccdc0edbb865b2?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 BUPT-GAMMA/PathRAG have?

BUPT-GAMMA/PathRAG has 35,482 total lines, including 32,288 code lines, 1,294 comment lines, and 1,900 blank lines.

### How was the BUPT-GAMMA/PathRAG line count measured?

OctoCounts resolved the public GitHub repository to commit 32567bfc9360, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for BUPT-GAMMA/PathRAG?

This OctoCounts report was generated from 32567bfc93605b8393996d5fa9ccdc0edbb865b2 at commit 32567bfc9360 on 2026-09-17T03:55:25.594543274+00:00.

## Similar repository reports

- [soham2008xyz/trade-tycoon](https://octocounts.com/github/soham2008xyz/trade-tycoon) — JSON, 32,356 code lines
- [noahshinn/reflexion](https://octocounts.com/github/noahshinn/reflexion) — JSON, 32,514 code lines
- [latent-spaces/brag](https://octocounts.com/github/latent-spaces/brag) — JSON, 31,811 code lines
- [0xvikram/TipUp](https://octocounts.com/github/0xvikram/TipUp) — JSON, 33,008 code lines
- [idurar/idurar-erp-crm](https://octocounts.com/github/idurar/idurar-erp-crm) — JSON, 33,156 code lines
- [immerjs/immer](https://octocounts.com/github/immerjs/immer) — JSON, 33,467 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)