langchain-ai/open_deep_research SLOC report
As of 2026-07-22 (commit 9fe9713feeb3), langchain-ai/open_deep_research contains 7,363 total lines: 4,810 code, 1,422 comments, 1,131 blank, across 26 files in 5 languages (top: Python 95.8%). Counted with tokei via OctoCounts.
Repository size insights
This is a small codebase by counted code lines. Code represents 65.3% of all lines, comments represent 19.3%, and the repository averages 185 code lines per file. Python accounts for 95.8% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|
| Python | 13 | 5837 | 4608 | 520 | 709 |
| 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 95.8%). Generated at 2026-07-22T05:29:40.263663122+00:00.
Report FAQ
How many lines of code does langchain-ai/open_deep_research have?
langchain-ai/open_deep_research has 7,363 total lines, including 4,810 code lines, 1,422 comment lines, and 1,131 blank lines.
How was the langchain-ai/open_deep_research line count measured?
OctoCounts resolved the public GitHub repository to commit 9fe9713feeb3, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
What commit was counted for langchain-ai/open_deep_research?
This OctoCounts report was generated from main at commit 9fe9713feeb3 on 2026-07-22T05:29:40.263663122+00:00.