# SanAntonio021/AutoLoginUESTC SLOC report

> As of 2026-09-17 (commit d47fbcb3a889), SanAntonio021/AutoLoginUESTC contains 5,741 total lines: 3,297 code, 1,633 comments, 811 blank, across 25 files in 6 languages (top: Python 95.8%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

SanAntonio021/AutoLoginUESTC has 3,297 source lines of code out of 5,741 total lines across 25 files, counted from the d47fbcb3a889037acadbe8cc65d1e50dcf8d4baf ref at commit d47fbcb3a889 by the OctoCounts tokei engine on 2026-09-17. 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 SanAntonio021/AutoLoginUESTC to commit d47fbcb3a889, 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 57.4% of all lines, comments represent 28.4%, and the repository averages 132 code lines per file. Python accounts for 95.8% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 5 | 3,528 | 3,160 | 7 | 361 |
| RPM Specfile | 1 | 88 | 79 | 1 | 8 |
| Batch | 4 | 48 | 48 | 0 | 0 |
| JSON | 1 | 10 | 10 | 0 | 0 |
| Markdown | 9 | 708 | 0 | 517 | 191 |
| Plain Text | 5 | 1,359 | 0 | 1,108 | 251 |

Top language (Python 95.8%). Generated at 2026-09-17T00:42:36.969459498+00:00. Canonical report: https://octocounts.com/github/SanAntonio021/AutoLoginUESTC

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/SanAntonio021/AutoLoginUESTC/commit/d47fbcb3a889037acadbe8cc65d1e50dcf8d4baf?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 SanAntonio021/AutoLoginUESTC have?

SanAntonio021/AutoLoginUESTC has 5,741 total lines, including 3,297 code lines, 1,633 comment lines, and 811 blank lines.

### How was the SanAntonio021/AutoLoginUESTC line count measured?

OctoCounts resolved the public GitHub repository to commit d47fbcb3a889, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for SanAntonio021/AutoLoginUESTC?

This OctoCounts report was generated from d47fbcb3a889037acadbe8cc65d1e50dcf8d4baf at commit d47fbcb3a889 on 2026-09-17T00:42:36.969459498+00:00.

## Similar repository reports

- [oskvr37/tiddl](https://octocounts.com/github/oskvr37/tiddl) — Python, 3,268 code lines
- [had0yun/unity-mcp-mixamo](https://octocounts.com/github/had0yun/unity-mcp-mixamo) — Python, 3,367 code lines
- [HaD0Yun/unity-mcp-mixamo](https://octocounts.com/github/HaD0Yun/unity-mcp-mixamo) — Python, 3,367 code lines
- [mohsinkaleem/agent-mini](https://octocounts.com/github/mohsinkaleem/agent-mini) — Python, 3,379 code lines
- [LionHUBYK/CBM-Capacity-Report-Dynamic](https://octocounts.com/github/LionHUBYK/CBM-Capacity-Report-Dynamic) — Python, 3,383 code lines
- [huihui0765/MusicDownloader](https://octocounts.com/github/huihui0765/MusicDownloader) — Python, 3,207 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)
