langchain-ai/langgraph has 81,202 source lines of code out of 95,901 total lines across 378 files, counted from the main ref at commit afbe7e48b17f by the OctoCounts tokei engine on 2026-10-13. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.
langchain-ai/langgraph: 81,202 code lines at commit afbe7e48b17f, counted with tokei-14.0.0 on 2026-10-13. Saved result bf4a449674eb0703052d4f582077cee035c84a0efc0eb603ce061274a0f3cb1d.
OctoCounts produced this report by resolving langchain-ai/langgraph to commit afbe7e48b17f, 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 84.7% of all lines, comments represent 4.9%, and the repository averages 215 code lines per file. Python accounts for 90.8% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 258 | 85190 | 73743 | 2977 | 8470 |
| JSON | 24 | 3070 | 3068 | 0 | 2 |
| Jupyter Notebooks | 35 | 4693 | 2961 | 829 | 903 |
| TOML | 20 | 1024 | 886 | 28 | 110 |
| Makefile | 10 | 540 | 365 | 65 | 110 |
| TypeScript | 5 | 231 | 81 | 137 | 13 |
| YAML | 1 | 99 | 68 | 23 | 8 |
| JavaScript | 1 | 18 | 18 | 0 | 0 |
| Dockerfile | 1 | 45 | 12 | 29 | 4 |
| Markdown | 16 | 981 | 0 | 626 | 355 |
| Plain Text | 7 | 10 | 0 | 10 | 0 |
Top language (Python 90.8%). Generated at .
langchain-ai/langgraph has 95,901 total lines, including 81,202 code lines, 4,724 comment lines, and 9,975 blank lines.
OctoCounts resolved the public GitHub repository to commit afbe7e48b17f, 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 afbe7e48b17f on 2026-10-13T10:17:49.131735155Z.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity:
Play the growth animation for langchain-ai/langgraph on this page — 81,202 code lines across 11 languages, counted by tokei.