# snap-research/GRID SLOC report

> As of 2026-09-16 (commit 2fe3475b2d36), snap-research/GRID contains 12,287 total lines: 9,482 code, 1,593 comments, 1,212 blank, across 86 files in 4 languages (top: Python 81.2%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

snap-research/GRID has 9,482 source lines of code out of 12,287 total lines across 86 files, counted from the 2fe3475b2d369580234093f35d52b1a2f54d0472 ref at commit 2fe3475b2d36 by the OctoCounts tokei engine on 2026-09-16. 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 snap-research/GRID to commit 2fe3475b2d36, 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 small codebase by counted code lines. Code represents 77.2% of all lines, comments represent 13.0%, and the repository averages 110 code lines per file. Python accounts for 81.2% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 63 | 9,298 | 7,697 | 488 | 1,113 |
| YAML | 21 | 1,909 | 1,785 | 72 | 52 |
| Markdown | 1 | 125 | 0 | 79 | 46 |
| Plain Text | 1 | 955 | 0 | 954 | 1 |

Top language (Python 81.2%). Generated at 2026-09-16T22:36:23.693014719+00:00. Canonical report: https://octocounts.com/github/snap-research/GRID

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/snap-research/GRID/commit/2fe3475b2d369580234093f35d52b1a2f54d0472?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 snap-research/GRID have?

snap-research/GRID has 12,287 total lines, including 9,482 code lines, 1,593 comment lines, and 1,212 blank lines.

### How was the snap-research/GRID line count measured?

OctoCounts resolved the public GitHub repository to commit 2fe3475b2d36, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for snap-research/GRID?

This OctoCounts report was generated from 2fe3475b2d369580234093f35d52b1a2f54d0472 at commit 2fe3475b2d36 on 2026-09-16T22:36:23.693014719+00:00.

## Similar repository reports

- [venkatapgummadi/agentflow](https://octocounts.com/github/venkatapgummadi/agentflow) — Python, 9,475 code lines
- [LLMServe/DistServe](https://octocounts.com/github/LLMServe/DistServe) — Python, 9,496 code lines
- [PRUNplanner/backend](https://octocounts.com/github/PRUNplanner/backend) — Python, 9,499 code lines
- [Do1e/NJUcaptcha](https://octocounts.com/github/Do1e/NJUcaptcha) — Python, 9,459 code lines
- [NeLy-EPFL/flygym](https://octocounts.com/github/NeLy-EPFL/flygym) — Python, 9,552 code lines
- [bytedance/trae-agent](https://octocounts.com/github/bytedance/trae-agent) — Python, 9,622 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)
- [TensorFlow vs PyTorch](https://octocounts.com/compare/tensorflow-vs-pytorch)
- [Django vs Ruby on Rails](https://octocounts.com/compare/django-vs-rails)
- [Laravel vs Django](https://octocounts.com/compare/laravel-vs-django)
- [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)
