# Ephemeral-AI-Lab/ephemeral-sandbox SLOC report

> Ephemeral-AI-Lab/ephemeral-sandbox: 58,082 code lines at commit e28e35d20f64, counted with tokei-14.0.0 on 2026-10-19. Saved result 7624b71e24b2c82b36c0ca6aaaeb40c6dabf2f128fc226ea0c52bd5b80c7bc98.

Ephemeral-AI-Lab/ephemeral-sandbox has 58,082 source lines of code out of 63,956 total lines across 430 files, counted from the e28e35d20f64c4f83cdd04e8b17fa20470cf5137 ref at commit e28e35d20f64 by the OctoCounts tokei engine on 2026-10-19. 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 Ephemeral-AI-Lab/ephemeral-sandbox to commit e28e35d20f64, 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 90.8% of all lines, comments represent 0.9%, and the repository averages 135 code lines per file. Rust accounts for 96.7% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Rust | 383 | 61,227 | 56,153 | 151 | 4,923 |
| Shell | 11 | 1,052 | 869 | 20 | 163 |
| TOML | 22 | 612 | 531 | 10 | 71 |
| YAML | 5 | 349 | 296 | 35 | 18 |
| PowerShell | 2 | 253 | 219 | 0 | 34 |
| SVG | 1 | 14 | 14 | 0 | 0 |
| Markdown | 6 | 449 | 0 | 332 | 117 |

Top language (Rust 96.7%). Generated at 2026-10-19T09:00:01.471227454Z. Canonical report: https://octocounts.com/github/Ephemeral-AI-Lab/ephemeral-sandbox/commit/e28e35d20f64c4f83cdd04e8b17fa20470cf5137?reportId=7624b71e24b2c82b36c0ca6aaaeb40c6dabf2f128fc226ea0c52bd5b80c7bc98&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/Ephemeral-AI-Lab/ephemeral-sandbox/commit/e28e35d20f64c4f83cdd04e8b17fa20470cf5137?reportId=7624b71e24b2c82b36c0ca6aaaeb40c6dabf2f128fc226ea0c52bd5b80c7bc98&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does Ephemeral-AI-Lab/ephemeral-sandbox have?

Ephemeral-AI-Lab/ephemeral-sandbox has 63,956 total lines, including 58,082 code lines, 548 comment lines, and 5,326 blank lines.

### How was the Ephemeral-AI-Lab/ephemeral-sandbox line count measured?

OctoCounts resolved the public GitHub repository to commit e28e35d20f64, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for Ephemeral-AI-Lab/ephemeral-sandbox?

This OctoCounts report was generated from e28e35d20f64c4f83cdd04e8b17fa20470cf5137 at commit e28e35d20f64 on 2026-10-19T09:00:01.471227454Z.

## Similar repository reports

- [mstange/samply](https://octocounts.com/github/mstange/samply) — Rust, 58,218 code lines
- [openquanter/openquanter](https://octocounts.com/github/openquanter/openquanter) — Rust, 57,786 code lines
- [xopenbeta/envis-app](https://octocounts.com/github/xopenbeta/envis-app) — Rust, 57,602 code lines
- [yituorou/meatshell](https://octocounts.com/github/yituorou/meatshell) — Rust, 58,673 code lines
- [cjpais/handy](https://octocounts.com/github/cjpais/handy) — Rust, 58,899 code lines
- [actix/actix-web](https://octocounts.com/github/actix/actix-web) — Rust, 56,994 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)
- [Rust vs Go](https://octocounts.com/compare/rust-vs-go)
- [Electron vs Tauri](https://octocounts.com/compare/electron-vs-tauri)
- [Deno vs Node.js](https://octocounts.com/compare/deno-vs-node)
- [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)