gepa-ai/gepa SLOC report
As of 2026-08-17 (commit 65130973dee7), gepa-ai/gepa contains 86,389 total lines: 60,033 code, 12,358 comments, 13,998 blank, across 443 files in 11 languages (top: Python 84.8%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving gepa-ai/gepa to commit 65130973dee7, 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 medium-sized codebase by counted code lines. Code represents 69.5% of all lines, comments represent 14.3%, and the repository averages 136 code lines per file. Python accounts for 84.8% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 223 | 64199 | 50881 | 3413 | 9905 |
| CSS | 3 | 4172 | 3544 | 233 | 395 |
| SVG | 16 | 2532 | 2253 | 169 | 110 |
| Jupyter Notebooks | 7 | 1486 | 1138 | 176 | 172 |
| HTML | 10 | 1084 | 869 | 108 | 107 |
| JSON | 15 | 560 | 560 | 0 | 0 |
| YAML | 4 | 626 | 550 | 17 | 59 |
| TOML | 1 | 162 | 132 | 16 | 14 |
| JavaScript | 3 | 159 | 106 | 31 | 22 |
| Markdown | 146 | 11133 | 0 | 7988 | 3145 |
| Plain Text | 15 | 276 | 0 | 207 | 69 |
Top language (Python 84.8%). Generated at 2026-08-17T19:28:25.792206956+00:00.
Report FAQ
How many lines of code does gepa-ai/gepa have?
gepa-ai/gepa has 86,389 total lines, including 60,033 code lines, 12,358 comment lines, and 13,998 blank lines.
How was the gepa-ai/gepa line count measured?
OctoCounts resolved the public GitHub repository to commit 65130973dee7, 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 65130973dee7 on 2026-08-17T19:28:25.792206956+00:00.
Similar repository reports
Other public repositories with an OctoCounts report, ranked by top language and code size similarity:
- mnemosyne-oss/mnemosyne — Python, 60,163 code lines
- nvidia-cosmos/cosmos-transfer1 — Python, 60,502 code lines
- opendatalab/mineru — Python, 60,506 code lines
- opendatalab/MinerU — Python, 60,584 code lines
- jianchang512/pyvideotrans — Python, 58,940 code lines
- exo-explore/exo — Python, 61,475 code lines