As of 2026-09-02 (commit 862f6bccb9c0), unclecode/crawl4ai contains 79,043 total lines: 44,823 code, 22,131 comments, 12,089 blank, across 146 files in 12 languages (top: Python 95.9%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving unclecode/crawl4ai to commit 862f6bccb9c0, 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 56.7% of all lines, comments represent 28.0%, and the repository averages 307 code lines per file. Python accounts for 95.9% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 102 | 53959 | 43006 | 4339 | 6614 |
| JavaScript | 6 | 1140 | 768 | 223 | 149 |
| HTML | 2 | 565 | 473 | 47 | 45 |
| YAML | 3 | 334 | 257 | 58 | 19 |
| Dockerfile | 1 | 232 | 170 | 25 | 37 |
| TOML | 2 | 124 | 113 | 2 | 9 |
| Shell | 2 | 55 | 31 | 15 | 9 |
| Autoconf | 1 | 2 | 2 | 0 | 0 |
| Forge Config | 1 | 2 | 2 | 0 | 0 |
| JSON | 1 | 1 | 1 | 0 | 0 |
| Markdown | 23 | 22576 | 0 | 17370 | 5206 |
| Plain Text | 2 | 53 | 0 | 52 | 1 |
Top language (Python 95.9%). Generated at 2026-09-02T07:05:27.871910056+00:00.
unclecode/crawl4ai has 79,043 total lines, including 44,823 code lines, 22,131 comment lines, and 12,089 blank lines.
OctoCounts resolved the public GitHub repository to commit 862f6bccb9c0, 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 862f6bccb9c0 on 2026-09-02T07:05:27.871910056+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: