# xinhuangcs/CareerDesk SLOC report

> As of 2026-09-20 (commit 4306cfcce160), xinhuangcs/CareerDesk contains 109,198 total lines: 98,738 code, 1,737 comments, 8,723 blank, across 464 files in 17 languages (top: Python 53.9%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

xinhuangcs/CareerDesk has 98,738 source lines of code out of 109,198 total lines across 464 files, counted from the 4306cfcce1609b0234ab3a6859cc299ca1206a45 ref at commit 4306cfcce160 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 xinhuangcs/CareerDesk to commit 4306cfcce160, 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 90.4% of all lines, comments represent 1.6%, and the repository averages 213 code lines per file. Python accounts for 53.9% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 226 | 59,711 | 53,197 | 639 | 5,875 |
| TSX | 34 | 17,971 | 17,093 | 145 | 733 |
| JavaScript | 70 | 12,807 | 11,840 | 6 | 961 |
| TypeScript | 90 | 10,984 | 10,028 | 137 | 819 |
| JSON | 16 | 5,758 | 5,753 | 0 | 5 |
| CSS | 1 | 316 | 278 | 6 | 32 |
| Shell | 2 | 309 | 256 | 17 | 36 |
| RPM Specfile | 1 | 153 | 141 | 1 | 11 |
| TOML | 1 | 55 | 48 | 0 | 7 |
| Dockerfile | 1 | 46 | 34 | 7 | 5 |
| Batch | 2 | 22 | 22 | 0 | 0 |
| SVG | 3 | 20 | 20 | 0 | 0 |

Top language (Python 53.9%). Generated at 2026-09-20T03:04:50.329281002+00:00. Canonical report: https://octocounts.com/github/xinhuangcs/CareerDesk

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/xinhuangcs/CareerDesk/commit/4306cfcce1609b0234ab3a6859cc299ca1206a45?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 xinhuangcs/CareerDesk have?

xinhuangcs/CareerDesk has 109,198 total lines, including 98,738 code lines, 1,737 comment lines, and 8,723 blank lines.

### How was the xinhuangcs/CareerDesk line count measured?

OctoCounts resolved the public GitHub repository to commit 4306cfcce160, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for xinhuangcs/CareerDesk?

This OctoCounts report was generated from 4306cfcce1609b0234ab3a6859cc299ca1206a45 at commit 4306cfcce160 on 2026-09-20T03:04:50.329281002+00:00.

## Similar repository reports

- [python-pillow/Pillow](https://octocounts.com/github/python-pillow/Pillow) — Python, 98,184 code lines
- [zabwie/vanta](https://octocounts.com/github/zabwie/vanta) — Python, 100,011 code lines
- [radixark/miles](https://octocounts.com/github/radixark/miles) — Python, 97,123 code lines
- [psf/black](https://octocounts.com/github/psf/black) — Python, 101,107 code lines
- [alibaba/ROLL](https://octocounts.com/github/alibaba/ROLL) — Python, 95,880 code lines
- [SenteLabsAI/OpenExecutive](https://octocounts.com/github/SenteLabsAI/OpenExecutive) — Python, 102,253 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)