As of 2026-08-02 (commit d337ae32ed4f), langchain-ai/open_deep_research contains 8,634 total lines: 5,856 code, 1,490 comments, 1,288 blank, across 35 files in 5 languages (top: Python 96.6%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving langchain-ai/open_deep_research to commit d337ae32ed4f, 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 small codebase by counted code lines. Code represents 67.8% of all lines, comments represent 17.3%, and the repository averages 167 code lines per file. Python accounts for 96.6% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 22 | 7108 | 5654 | 588 | 866 |
| Jupyter Notebooks | 2 | 206 | 107 | 68 | 31 |
| TOML | 1 | 89 | 81 | 0 | 8 |
| JSON | 1 | 14 | 14 | 0 | 0 |
| Markdown | 9 | 1217 | 0 | 834 | 383 |
Top language (Python 96.6%). Generated at 2026-08-02T10:33:55.691202409+00:00.
langchain-ai/open_deep_research has 8,634 total lines, including 5,856 code lines, 1,490 comment lines, and 1,288 blank lines.
OctoCounts resolved the public GitHub repository to commit d337ae32ed4f, 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 d337ae32ed4f on 2026-08-02T10:33:55.691202409+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: