# gepa-ai/gepa SLOC report

> gepa-ai/gepa: 37,140 code lines at commit 8f287de942f4, counted with tokei-14.0.0 on 2026-10-21. Saved result 90e5a788e6f9473029a92a82e1eafbdee3bb9682a8641d00197f859683b87021.

gepa-ai/gepa has 37,140 source lines of code out of 48,547 total lines across 210 files, counted from the main ref at commit 8f287de942f4 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 gepa-ai/gepa to commit 8f287de942f4, 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 76.5% of all lines, comments represent 9.2%, and the repository averages 177 code lines per file. Python accounts for 97.4% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 156 | 44,659 | 36,156 | 2,435 | 6,068 |
| JSON | 13 | 346 | 346 | 0 | 0 |
| YAML | 2 | 231 | 184 | 13 | 34 |
| Jupyter Notebooks | 2 | 240 | 176 | 41 | 23 |
| TOML | 1 | 177 | 139 | 24 | 14 |
| HTML | 1 | 92 | 88 | 0 | 4 |
| SVG | 3 | 64 | 51 | 11 | 2 |
| Markdown | 23 | 2,583 | 0 | 1,836 | 747 |
| Plain Text | 9 | 155 | 0 | 119 | 36 |

Top language (Python 97.4%). Generated at 2026-10-21T02:41:35.285169092Z. Canonical report: https://octocounts.com/github/gepa-ai/gepa/commit/8f287de942f41a6d1e0e7e5b2d576247c4bedee9?reportId=90e5a788e6f9473029a92a82e1eafbdee3bb9682a8641d00197f859683b87021&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/gepa-ai/gepa/commit/8f287de942f41a6d1e0e7e5b2d576247c4bedee9?reportId=90e5a788e6f9473029a92a82e1eafbdee3bb9682a8641d00197f859683b87021&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does gepa-ai/gepa have?

gepa-ai/gepa has 48,547 total lines, including 37,140 code lines, 4,479 comment lines, and 6,928 blank lines.

### How was the gepa-ai/gepa line count measured?

OctoCounts resolved the public GitHub repository to commit 8f287de942f4, 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 8f287de942f4 on 2026-10-21T02:41:35.285169092Z.

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