# AstrBotDevs/AstrBot SLOC report

> As of 2026-09-16 (commit e0aa8d386121), AstrBotDevs/AstrBot contains 232,334 total lines: 196,166 code, 11,353 comments, 24,815 blank, across 1,221 files in 17 languages (top: Python 66.4%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

AstrBotDevs/AstrBot has 196,166 source lines of code out of 232,334 total lines across 1,221 files, counted from the e0aa8d386121ead06825fb6d1e423a41a3d14a83 ref at commit e0aa8d386121 by the OctoCounts tokei engine on 2026-09-16. 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 AstrBotDevs/AstrBot to commit e0aa8d386121, 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 large codebase by counted code lines. Code represents 84.4% of all lines, comments represent 4.9%, and the repository averages 161 code lines per file. Python accounts for 66.4% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 510 | 150,597 | 130,327 | 2,663 | 17,607 |
| JSON | 152 | 25,435 | 25,430 | 0 | 5 |
| Vue | 177 | 13,166 | 11,947 | 189 | 1,030 |
| YAML | 18 | 13,336 | 11,457 | 57 | 1,822 |
| TypeScript | 63 | 11,158 | 9,509 | 638 | 1,011 |
| JavaScript | 25 | 5,415 | 4,669 | 230 | 516 |
| CSS | 4 | 1,737 | 1,263 | 116 | 358 |
| Sass | 16 | 919 | 784 | 34 | 101 |
| Shell | 3 | 504 | 397 | 36 | 71 |
| HTML | 4 | 137 | 129 | 1 | 7 |
| TOML | 1 | 138 | 123 | 3 | 12 |
| Makefile | 1 | 62 | 52 | 1 | 9 |

Top language (Python 66.4%). Generated at 2026-09-16T17:52:22.841037987+00:00. Canonical report: https://octocounts.com/github/AstrBotDevs/AstrBot

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/AstrBotDevs/AstrBot/commit/e0aa8d386121ead06825fb6d1e423a41a3d14a83?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 AstrBotDevs/AstrBot have?

AstrBotDevs/AstrBot has 232,334 total lines, including 196,166 code lines, 11,353 comment lines, and 24,815 blank lines.

### How was the AstrBotDevs/AstrBot line count measured?

OctoCounts resolved the public GitHub repository to commit e0aa8d386121, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for AstrBotDevs/AstrBot?

This OctoCounts report was generated from e0aa8d386121ead06825fb6d1e423a41a3d14a83 at commit e0aa8d386121 on 2026-09-16T17:52:22.841037987+00:00.

## Similar repository reports

- [PrefectHQ/fastmcp](https://octocounts.com/github/PrefectHQ/fastmcp) — Python, 196,705 code lines
- [plastic-labs/honcho](https://octocounts.com/github/plastic-labs/honcho) — Python, 197,322 code lines
- [crewaiinc/crewai](https://octocounts.com/github/crewaiinc/crewai) — Python, 198,571 code lines
- [foryourhealth111-pixel/Vibe-Skills](https://octocounts.com/github/foryourhealth111-pixel/Vibe-Skills) — Python, 193,574 code lines
- [dograh-hq/dograh](https://octocounts.com/github/dograh-hq/dograh) — Python, 199,995 code lines
- [gptme/gptme](https://octocounts.com/github/gptme/gptme) — Python, 200,777 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)