# al-one/hass-xiaomi-miot SLOC report

> As of 2026-10-04 (commit a3a07b8504ba), al-one/hass-xiaomi-miot contains 36,301 total lines: 33,474 code, 609 comments, 2,218 blank, across 74 files in 7 languages (top: Python 71.5%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

al-one/hass-xiaomi-miot has 33,474 source lines of code out of 36,301 total lines across 74 files, counted from the master ref at commit a3a07b8504ba by the OctoCounts tokei engine on 2026-10-04. 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 al-one/hass-xiaomi-miot to commit a3a07b8504ba, 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 92.2% of all lines, comments represent 1.7%, and the repository averages 452 code lines per file. Python accounts for 71.5% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 43 | 26,169 | 23,947 | 237 | 1,985 |
| JSON | 21 | 8,762 | 8,728 | 0 | 34 |
| YAML | 3 | 708 | 664 | 6 | 38 |
| Shell | 2 | 161 | 133 | 6 | 22 |
| INI | 1 | 2 | 2 | 0 | 0 |
| Markdown | 2 | 491 | 0 | 352 | 139 |
| Plain Text | 2 | 8 | 0 | 8 | 0 |

Top language (Python 71.5%). Generated at 2026-10-04T15:25:52.116296108+00:00. Canonical report: https://octocounts.com/github/al-one/hass-xiaomi-miot

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/al-one/hass-xiaomi-miot/commit/a3a07b8504bacfee114a6052ae864d7dd149bf71?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&reportId=e032d690e84ac2c711c7f1b58625972fffc268e2437811cf796e8d97be8612d3).

## Report FAQ

### How many lines of code does al-one/hass-xiaomi-miot have?

al-one/hass-xiaomi-miot has 36,301 total lines, including 33,474 code lines, 609 comment lines, and 2,218 blank lines.

### How was the al-one/hass-xiaomi-miot line count measured?

OctoCounts resolved the public GitHub repository to commit a3a07b8504ba, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for al-one/hass-xiaomi-miot?

This OctoCounts report was generated from master at commit a3a07b8504ba on 2026-10-04T15:25:52.116296108+00:00.

## Similar repository reports

- [KristiyanDDimitrov/Seeker](https://octocounts.com/github/KristiyanDDimitrov/Seeker) — Python, 33,077 code lines
- [xarmaq/eblannft-beta](https://octocounts.com/github/xarmaq/eblannft-beta) — Python, 33,945 code lines
- [ncatbot/NcatBot](https://octocounts.com/github/ncatbot/NcatBot) — Python, 33,002 code lines
- [aodianjun/workbuddy2api-hub](https://octocounts.com/github/aodianjun/workbuddy2api-hub) — Python, 33,986 code lines
- [NanmiCoder/MediaCrawler](https://octocounts.com/github/NanmiCoder/MediaCrawler) — Python, 32,967 code lines
- [basketikun/chatgpt2api](https://octocounts.com/github/basketikun/chatgpt2api) — Python, 32,831 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)