# SFTtech/openage SLOC report

> As of 2026-10-21 (commit 6d147f488b1f), SFTtech/openage contains 177,418 total lines: 114,104 code, 29,114 comments, 34,200 blank, across 1,378 files in 16 languages (top: Python 50.4%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

SFTtech/openage has 114,104 source lines of code out of 177,418 total lines across 1,378 files, counted from the master ref at commit 6d147f488b1f by the OctoCounts tokei engine on 2026-10-21. 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 SFTtech/openage to commit 6d147f488b1f, 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 64.3% of all lines, comments represent 16.4%, and the repository averages 83 code lines per file. Python accounts for 50.4% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 292 | 77,712 | 57,520 | 5,979 | 14,213 |
| C++ | 390 | 41,388 | 28,847 | 3,784 | 8,757 |
| C Header | 400 | 38,034 | 15,548 | 15,274 | 7,212 |
| Cython | 44 | 9,113 | 6,181 | 959 | 1,973 |
| CMake | 170 | 4,420 | 3,217 | 592 | 611 |
| QML | 18 | 1,569 | 1,103 | 96 | 370 |
| TOML | 15 | 650 | 512 | 28 | 110 |
| Autoconf | 12 | 2,656 | 395 | 1,647 | 614 |
| GLSL | 20 | 449 | 239 | 107 | 103 |
| CSS | 1 | 270 | 177 | 42 | 51 |
| Nix | 4 | 235 | 158 | 56 | 21 |
| Just | 1 | 134 | 73 | 31 | 30 |

Top language (Python 50.4%). Generated at 2026-10-21T04:20:56.443010233+00:00. Canonical report: https://octocounts.com/github/SFTtech/openage

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/SFTtech/openage/commit/6d147f488b1f19669e7e113c594a0c09a8dbb63a?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=0bdd137ecc80a0f1dbf6d43e0e9adf1306fa8833117099460221124022b76f73).

## Report FAQ

### How many lines of code does SFTtech/openage have?

SFTtech/openage has 177,418 total lines, including 114,104 code lines, 29,114 comment lines, and 34,200 blank lines.

### How was the SFTtech/openage line count measured?

OctoCounts resolved the public GitHub repository to commit 6d147f488b1f, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for SFTtech/openage?

This OctoCounts report was generated from master at commit 6d147f488b1f on 2026-10-21T04:20:56.443010233+00:00.

## Similar repository reports

- [microsoft/autogen](https://octocounts.com/github/microsoft/autogen) — Python, 111,060 code lines
- [alibaba/ROLL](https://octocounts.com/github/alibaba/ROLL) — Python, 117,580 code lines
- [verl-project/verl](https://octocounts.com/github/verl-project/verl) — Python, 117,606 code lines
- [ifixai-ai/iFixAi](https://octocounts.com/github/ifixai-ai/iFixAi) — Python, 110,450 code lines
- [Dao-AILab/flash-attention](https://octocounts.com/github/Dao-AILab/flash-attention) — Python, 107,405 code lines
- [google/artemis](https://octocounts.com/github/google/artemis) — Python, 122,020 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)
