As of 2026-08-02 (commit 7231384f7970), abus-aikorea/voice-pro contains 56,935 total lines: 40,902 code, 7,596 comments, 8,437 blank, across 359 files in 15 languages (top: Python 87.0%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving abus-aikorea/voice-pro to commit 7231384f7970, 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 medium-sized codebase by counted code lines. Code represents 71.8% of all lines, comments represent 13.3%, and the repository averages 114 code lines per file. Python accounts for 87.0% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 232 | 44524 | 35592 | 2380 | 6552 |
| JSON | 18 | 2022 | 2011 | 0 | 11 |
| CSS | 11 | 1623 | 1318 | 36 | 269 |
| JavaScript | 5 | 603 | 433 | 73 | 97 |
| YAML | 57 | 639 | 389 | 134 | 116 |
| Batch | 4 | 543 | 368 | 76 | 99 |
| Shell | 5 | 342 | 244 | 46 | 52 |
| HTML | 3 | 210 | 202 | 0 | 8 |
| TOML | 2 | 188 | 157 | 22 | 9 |
| Jupyter Notebooks | 1 | 149 | 105 | 24 | 20 |
| Cython | 1 | 47 | 38 | 0 | 9 |
| Makefile | 1 | 42 | 31 | 0 | 11 |
Top language (Python 87.0%). Generated at .
abus-aikorea/voice-pro has 56,935 total lines, including 40,902 code lines, 7,596 comment lines, and 8,437 blank lines.
OctoCounts resolved the public GitHub repository to commit 7231384f7970, 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 main at commit 7231384f7970 on 2026-08-02T19:33:57.165449596+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: