As of 2026-08-13 (commit 8a7cbe1c9df8), Paca-AI/paca contains 272,553 total lines: 216,526 code, 28,224 comments, 27,803 blank, across 1,061 files in 16 languages (top: Go 42.1%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving Paca-AI/paca to commit 8a7cbe1c9df8, 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.
This is a large codebase by counted code lines. Code represents 79.4% of all lines, comments represent 10.4%, and the repository averages 204 code lines per file. Go accounts for 42.1% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Go | 336 | 116131 | 91254 | 12314 | 12563 |
| TSX | 224 | 52388 | 47320 | 1751 | 3317 |
| TypeScript | 181 | 43875 | 34474 | 4031 | 5370 |
| JSON | 106 | 26081 | 26077 | 0 | 4 |
| Python | 55 | 10010 | 7652 | 594 | 1764 |
| Gherkin (Cucumber) | 24 | 6299 | 5282 | 0 | 1017 |
| Shell | 8 | 2884 | 1873 | 643 | 368 |
| SQL | 38 | 2283 | 1221 | 777 | 285 |
| YAML | 3 | 892 | 646 | 205 | 41 |
| CSS | 1 | 579 | 452 | 63 | 64 |
| SVG | 21 | 92 | 92 | 0 | 0 |
| TOML | 2 | 90 | 76 | 0 | 14 |
Top language (Go 42.1%). Generated at .
Paca-AI/paca has 272,553 total lines, including 216,526 code lines, 28,224 comment lines, and 27,803 blank lines.
OctoCounts resolved the public GitHub repository to commit 8a7cbe1c9df8, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
This OctoCounts report was generated from master at commit 8a7cbe1c9df8 on 2026-08-13T08:53:37.513907641+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: