# HaoyueQin/weather-image-generator SLOC report

> As of 2026-07-18 (commit 983c0bb18b93), HaoyueQin/weather-image-generator contains 6,630 total lines: 2,471 code, 3,457 comments, 702 blank, across 16 files in 4 languages (top: Python 99.6%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving HaoyueQin/weather-image-generator to commit 983c0bb18b93, 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 37.3% of all lines, comments represent 52.1%, and the repository averages 154 code lines per file. Python accounts for 99.6% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 11 | 3,054 | 2,461 | 194 | 399 |
| Batch | 2 | 10 | 10 | 0 | 0 |
| Markdown | 2 | 3,549 | 0 | 3,251 | 298 |
| Plain Text | 1 | 17 | 0 | 12 | 5 |

Top language (Python 99.6%). Generated at 2026-07-18T01:09:41.864786161+00:00. Canonical report: https://octocounts.com/github/HaoyueQin/weather-image-generator

## Report FAQ

### How many lines of code does HaoyueQin/weather-image-generator have?

HaoyueQin/weather-image-generator has 6,630 total lines, including 2,471 code lines, 3,457 comment lines, and 702 blank lines.

### How was the HaoyueQin/weather-image-generator line count measured?

OctoCounts resolved the public GitHub repository to commit 983c0bb18b93, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for HaoyueQin/weather-image-generator?

This OctoCounts report was generated from master at commit 983c0bb18b93 on 2026-07-18T01:09:41.864786161+00:00.

## Similar repository reports

- [sexporsche/demo](https://octocounts.com/github/sexporsche/demo) — Python, 2,472 code lines
- [xbtlin/ai-berkshire](https://octocounts.com/github/xbtlin/ai-berkshire) — Python, 2,467 code lines
- [jmespath/jmespath.py](https://octocounts.com/github/jmespath/jmespath.py) — Python, 2,460 code lines
- [Hanyuyuan6/remote-gpu-trainer](https://octocounts.com/github/Hanyuyuan6/remote-gpu-trainer) — Python, 2,458 code lines
- [thombashi/pathvalidate](https://octocounts.com/github/thombashi/pathvalidate) — Python, 2,486 code lines
- [pyscaffold/configupdater](https://octocounts.com/github/pyscaffold/configupdater) — Python, 2,486 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)
- [OctoCounts API docs](https://octocounts.com/docs/api)
