# Lychee-Technology/ltbase-deploy-workflows SLOC report

> As of 2026-09-16 (commit 0e93fb6fb1c8), Lychee-Technology/ltbase-deploy-workflows contains 180 total lines: 60 code, 80 comments, 40 blank, across 2 files in 2 languages (top: Shell 100.0%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

Lychee-Technology/ltbase-deploy-workflows has 60 source lines of code out of 180 total lines across 2 files, counted from the 0e93fb6fb1c8bc00290dfdaa57376f70bb5cbad3 ref at commit 0e93fb6fb1c8 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 Lychee-Technology/ltbase-deploy-workflows to commit 0e93fb6fb1c8, 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 33.3% of all lines, comments represent 44.4%, and the repository averages 30 code lines per file. Shell accounts for 100.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Shell | 1 | 86 | 60 | 14 | 12 |
| Markdown | 1 | 94 | 0 | 66 | 28 |

Top language (Shell 100.0%). Generated at 2026-09-16T23:48:33.677816505+00:00. Canonical report: https://octocounts.com/github/Lychee-Technology/ltbase-deploy-workflows

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/Lychee-Technology/ltbase-deploy-workflows/commit/0e93fb6fb1c8bc00290dfdaa57376f70bb5cbad3?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 Lychee-Technology/ltbase-deploy-workflows have?

Lychee-Technology/ltbase-deploy-workflows has 180 total lines, including 60 code lines, 80 comment lines, and 40 blank lines.

### How was the Lychee-Technology/ltbase-deploy-workflows line count measured?

OctoCounts resolved the public GitHub repository to commit 0e93fb6fb1c8, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for Lychee-Technology/ltbase-deploy-workflows?

This OctoCounts report was generated from 0e93fb6fb1c8bc00290dfdaa57376f70bb5cbad3 at commit 0e93fb6fb1c8 on 2026-09-16T23:48:33.677816505+00:00.

## Similar repository reports

- [easzlab/dockerfile-kubeasz-ext-bin](https://octocounts.com/github/easzlab/dockerfile-kubeasz-ext-bin) — Shell, 62 code lines
- [lxgw/LxgwWenKai](https://octocounts.com/github/lxgw/LxgwWenKai) — Shell, 63 code lines
- [aurorasoft2/Matt_Pocock_Skills](https://octocounts.com/github/aurorasoft2/Matt_Pocock_Skills) — Shell, 66 code lines
- [Benqxc/shannon-skill](https://octocounts.com/github/Benqxc/shannon-skill) — Shell, 66 code lines
- [unicodeveloper/shannon](https://octocounts.com/github/unicodeveloper/shannon) — Shell, 66 code lines
- [Purrple-hub/Auto-Python](https://octocounts.com/github/Purrple-hub/Auto-Python) — Shell, 73 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)
- [Deno vs Node.js](https://octocounts.com/compare/deno-vs-node)
- [Bun vs Node.js](https://octocounts.com/compare/bun-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)