datawhalechina/Agent-Learning-Hub SLOC report
As of 2026-09-02 (commit dddf777dde67), datawhalechina/Agent-Learning-Hub contains 482 total lines: 40 code, 339 comments, 103 blank, across 3 files in 2 languages (top: HTML 100.0%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving datawhalechina/Agent-Learning-Hub to commit dddf777dde67, 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 8.3% of all lines, comments represent 70.3%, and the repository averages 13 code lines per file. HTML accounts for 100.0% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| HTML | 1 | 47 | 40 | 3 | 4 |
| Markdown | 2 | 435 | 0 | 336 | 99 |
Top language (HTML 100.0%). Generated at 2026-09-02T02:29:23.057496802+00:00.
Report FAQ
How many lines of code does datawhalechina/Agent-Learning-Hub have?
datawhalechina/Agent-Learning-Hub has 482 total lines, including 40 code lines, 339 comment lines, and 103 blank lines.
How was the datawhalechina/Agent-Learning-Hub line count measured?
OctoCounts resolved the public GitHub repository to commit dddf777dde67, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
What commit was counted for datawhalechina/Agent-Learning-Hub?
This OctoCounts report was generated from main at commit dddf777dde67 on 2026-09-02T02:29:23.057496802+00:00.
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