# Pluto-Mo/personal-career-os SLOC report

> As of 2026-09-20 (commit 16a26e2c6339), Pluto-Mo/personal-career-os contains 3,369 total lines: 1,569 code, 1,107 comments, 693 blank, across 31 files in 6 languages (top: Python 60.0%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

Pluto-Mo/personal-career-os has 1,569 source lines of code out of 3,369 total lines across 31 files, counted from the 16a26e2c6339d4f7949b5cd9ffdb5775be22eb95 ref at commit 16a26e2c6339 by the OctoCounts tokei engine on 2026-09-20. 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 Pluto-Mo/personal-career-os to commit 16a26e2c6339, 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 46.6% of all lines, comments represent 32.9%, and the repository averages 51 code lines per file. Python accounts for 60.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 4 | 1,131 | 941 | 22 | 168 |
| PowerShell | 2 | 346 | 288 | 24 | 34 |
| Shell | 2 | 302 | 247 | 19 | 36 |
| HTML | 1 | 108 | 89 | 13 | 6 |
| YAML | 1 | 4 | 4 | 0 | 0 |
| Markdown | 21 | 1,478 | 0 | 1,029 | 449 |

Top language (Python 60.0%). Generated at 2026-09-20T13:37:47.941742584+00:00. Canonical report: https://octocounts.com/github/Pluto-Mo/personal-career-os

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/Pluto-Mo/personal-career-os/commit/16a26e2c6339d4f7949b5cd9ffdb5775be22eb95?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 Pluto-Mo/personal-career-os have?

Pluto-Mo/personal-career-os has 3,369 total lines, including 1,569 code lines, 1,107 comment lines, and 693 blank lines.

### How was the Pluto-Mo/personal-career-os line count measured?

OctoCounts resolved the public GitHub repository to commit 16a26e2c6339, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for Pluto-Mo/personal-career-os?

This OctoCounts report was generated from 16a26e2c6339d4f7949b5cd9ffdb5775be22eb95 at commit 16a26e2c6339 on 2026-09-20T13:37:47.941742584+00:00.

## Similar repository reports

- [zouchenzhen/thesis-defense-pptx-skill](https://octocounts.com/github/zouchenzhen/thesis-defense-pptx-skill) — Python, 1,570 code lines
- [HaoyueQin/mars-rover-path-planning-simulation](https://octocounts.com/github/HaoyueQin/mars-rover-path-planning-simulation) — Python, 1,564 code lines
- [superallen13/TRN-R1-Zero](https://octocounts.com/github/superallen13/TRN-R1-Zero) — Python, 1,556 code lines
- [ayghri/i-have-adhd](https://octocounts.com/github/ayghri/i-have-adhd) — Python, 1,544 code lines
- [vedantparmar12/airbnb-mcp](https://octocounts.com/github/vedantparmar12/airbnb-mcp) — Python, 1,607 code lines
- [DanielPires2000/orbshacker](https://octocounts.com/github/DanielPires2000/orbshacker) — Python, 1,607 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)
