# therne/dmn-tensorflow SLOC report

> As of 2026-09-07 (commit c107d6c08e29), therne/dmn-tensorflow contains 1,250 total lines: 871 code, 139 comments, 240 blank, across 16 files in 2 languages (top: Python 100.0%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving therne/dmn-tensorflow to commit c107d6c08e29, 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 69.7% of all lines, comments represent 11.1%, and the repository averages 54 code lines per file. Python accounts for 100.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 15 | 1,174 | 871 | 76 | 227 |
| Markdown | 1 | 76 | 0 | 63 | 13 |

Top language (Python 100.0%). Generated at 2026-09-07T06:01:05.069322679+00:00. Canonical report: https://octocounts.com/github/therne/dmn-tensorflow

## Report FAQ

### How many lines of code does therne/dmn-tensorflow have?

therne/dmn-tensorflow has 1,250 total lines, including 871 code lines, 139 comment lines, and 240 blank lines.

### How was the therne/dmn-tensorflow line count measured?

OctoCounts resolved the public GitHub repository to commit c107d6c08e29, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for therne/dmn-tensorflow?

This OctoCounts report was generated from master at commit c107d6c08e29 on 2026-09-07T06:01:05.069322679+00:00.

## Similar repository reports

- [calgray/athreading](https://octocounts.com/github/calgray/athreading) — Python, 871 code lines
- [V1xel/mixamo-mcp](https://octocounts.com/github/V1xel/mixamo-mcp) — Python, 876 code lines
- [yonglim2392/screen-memory-mcp](https://octocounts.com/github/yonglim2392/screen-memory-mcp) — Python, 853 code lines
- [ChocoData-com/instagram-scraper](https://octocounts.com/github/ChocoData-com/instagram-scraper) — Python, 851 code lines
- [scvxzf1/xai-sso-to-credentials](https://octocounts.com/github/scvxzf1/xai-sso-to-credentials) — Python, 891 code lines
- [yhhe2004/STAIR](https://octocounts.com/github/yhhe2004/STAIR) — Python, 896 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)