google-deepmind/action_piece SLOC report
As of 2026-06-28 (commit ae8e61a89ade), google-deepmind/action_piece contains 4,038 total lines: 3,153 code, 475 comments, 410 blank, across 21 files in 4 languages (top: Python 98.5%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving google-deepmind/action_piece to commit ae8e61a89ade, 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 small codebase by counted code lines. Code represents 78.1% of all lines, comments represent 11.8%, and the repository averages 150 code lines per file. Python accounts for 98.5% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 15 | 3793 | 3106 | 326 | 361 |
| YAML | 3 | 105 | 47 | 48 | 10 |
| Markdown | 2 | 131 | 0 | 92 | 39 |
| Plain Text | 1 | 9 | 0 | 9 | 0 |
Top language (Python 98.5%). Generated at 2026-06-28T09:45:43.240280896+00:00.
Report FAQ
How many lines of code does google-deepmind/action_piece have?
google-deepmind/action_piece has 4,038 total lines, including 3,153 code lines, 475 comment lines, and 410 blank lines.
How was the google-deepmind/action_piece line count measured?
OctoCounts resolved the public GitHub repository to commit ae8e61a89ade, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
What commit was counted for google-deepmind/action_piece?
This OctoCounts report was generated from main at commit ae8e61a89ade on 2026-06-28T09:45:43.240280896+00:00.
Similar repository reports
Other public repositories with an OctoCounts report, ranked by top language and code size similarity:
- kridos/ROS-IsaacTutorial — Python, 3,157 code lines
- Deep-unlearning/nano-cohere-transcribe — Python, 3,149 code lines
- AvenCores/open-antigravity-patcher — Python, 3,138 code lines
- mov-cli/mov-cli — Python, 3,174 code lines
- eduNEXT/seb-openedx — Python, 3,174 code lines
- MrGeDiao/shuorenhua — Python, 3,183 code lines