gepa-ai/gepa SLOC report
As of 2026-07-20 (commit 665cbc368313), gepa-ai/gepa contains 40,130 total lines: 30,079 code, 3,934 comments, 6,117 blank, across 190 files in 9 languages (top: Python 96.8%). Counted with tokei via OctoCounts.
Repository size insights
This is a medium-sized codebase by counted code lines. Code represents 75.0% of all lines, comments represent 9.8%, and the repository averages 158 code lines per file. Python accounts for 96.8% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|
| Python | 136 | 36295 | 29102 | 1919 | 5274 |
| JSON | 13 | 346 | 346 | 0 | 0 |
| YAML | 2 | 231 | 184 | 13 | 34 |
| Jupyter Notebooks | 2 | 240 | 176 | 41 | 23 |
| TOML | 1 | 162 | 132 | 16 | 14 |
| HTML | 1 | 92 | 88 | 0 | 4 |
| SVG | 3 | 64 | 51 | 11 | 2 |
| Markdown | 23 | 2545 | 0 | 1815 | 730 |
| Plain Text | 9 | 155 | 0 | 119 | 36 |
Top language (Python 96.8%). Generated at 2026-07-20T19:08:21.174400487+00:00.
Report FAQ
How many lines of code does gepa-ai/gepa have?
gepa-ai/gepa has 40,130 total lines, including 30,079 code lines, 3,934 comment lines, and 6,117 blank lines.
How was the gepa-ai/gepa line count measured?
OctoCounts resolved the public GitHub repository to commit 665cbc368313, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
What commit was counted for gepa-ai/gepa?
This OctoCounts report was generated from main at commit 665cbc368313 on 2026-07-20T19:08:21.174400487+00:00.