As of 2026-06-30 (commit c7e379357087), alibaba/ROLL contains 125,804 total lines: 95,705 code, 13,203 comments, 16,896 blank, across 679 files in 14 languages (top: Python 71.7%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving alibaba/ROLL to commit c7e379357087, 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 76.1% of all lines, comments represent 10.5%, and the repository averages 141 code lines per file. Python accounts for 71.7% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 374 | 84385 | 68612 | 4301 | 11472 |
| YAML | 118 | 20410 | 16579 | 1860 | 1971 |
| JSON | 18 | 7697 | 7697 | 0 | 0 |
| JavaScript | 20 | 1808 | 1595 | 82 | 131 |
| CSS | 8 | 800 | 722 | 12 | 66 |
| Shell | 45 | 619 | 395 | 96 | 128 |
| TOML | 2 | 58 | 46 | 2 | 10 |
| Makefile | 2 | 43 | 32 | 0 | 11 |
| HTML | 1 | 17 | 16 | 0 | 1 |
| SVG | 6 | 6 | 6 | 0 | 0 |
| Autoconf | 1 | 5 | 5 | 0 | 0 |
| MDX | 1 | 121 | 0 | 92 | 29 |
Top language (Python 71.7%). Generated at 2026-06-30T09:40:05.956763542+00:00.
alibaba/ROLL has 125,804 total lines, including 95,705 code lines, 13,203 comment lines, and 16,896 blank lines.
OctoCounts resolved the public GitHub repository to commit c7e379357087, 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 c7e379357087 on 2026-06-30T09:40:05.956763542+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: