# tower/agentic-data-engineering SLOC report

> As of 2026-09-07 (commit 7e31d207507f), tower/agentic-data-engineering contains 176 total lines: 58 code, 77 comments, 41 blank, across 4 files in 3 languages (top: Python 72.4%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving tower/agentic-data-engineering to commit 7e31d207507f, 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 33.0% of all lines, comments represent 43.8%, and the repository averages 15 code lines per file. Python accounts for 72.4% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 1 | 53 | 42 | 0 | 11 |
| TOML | 1 | 16 | 16 | 0 | 0 |
| Markdown | 2 | 107 | 0 | 77 | 30 |

Top language (Python 72.4%). Generated at 2026-09-07T15:22:47.839104605+00:00. Canonical report: https://octocounts.com/github/tower/agentic-data-engineering

## Report FAQ

### How many lines of code does tower/agentic-data-engineering have?

tower/agentic-data-engineering has 176 total lines, including 58 code lines, 77 comment lines, and 41 blank lines.

### How was the tower/agentic-data-engineering line count measured?

OctoCounts resolved the public GitHub repository to commit 7e31d207507f, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for tower/agentic-data-engineering?

This OctoCounts report was generated from main at commit 7e31d207507f on 2026-09-07T15:22:47.839104605+00:00.

## Similar repository reports

- [Dhravya/TypeMonkey](https://octocounts.com/github/Dhravya/TypeMonkey) — Python, 63 code lines
- [langchain-ai/langgraph-example](https://octocounts.com/github/langchain-ai/langgraph-example) — Python, 65 code lines
- [bstashchuk/docker-for-beginners-ru](https://octocounts.com/github/bstashchuk/docker-for-beginners-ru) — Python, 51 code lines
- [Gabrieliam42/LLMs_GPU_VRAM_Calculator](https://octocounts.com/github/Gabrieliam42/LLMs_GPU_VRAM_Calculator) — Python, 66 code lines
- [OpenMinis/AwesomeMinis](https://octocounts.com/github/OpenMinis/AwesomeMinis) — Python, 47 code lines
- [blader/humanizer](https://octocounts.com/github/blader/humanizer) — Python, 70 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)