langchain-ai/langgraph has 81,770 source lines of code out of 96,601 total lines across 379 files, counted from the main ref at commit 3cd57c038ad8 by the OctoCounts tokei engine on 2026-10-22. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.
As of 2026-10-22 (commit 3cd57c038ad8), langchain-ai/langgraph contains 96,601 total lines: 81,770 code, 4,796 comments, 10,035 blank, across 379 files in 11 languages (top: Python 90.9%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving langchain-ai/langgraph to commit 3cd57c038ad8, 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 84.6% of all lines, comments represent 5.0%, and the repository averages 216 code lines per file. Python accounts for 90.9% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 259 | 85875 | 74297 | 3049 | 8529 |
| JSON | 24 | 3070 | 3068 | 0 | 2 |
| Jupyter Notebooks | 35 | 4693 | 2961 | 829 | 903 |
| TOML | 20 | 1024 | 886 | 28 | 110 |
| Makefile | 10 | 555 | 379 | 65 | 111 |
| 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 90.9%). Generated at .
langchain-ai/langgraph has 96,601 total lines, including 81,770 code lines, 4,796 comment lines, and 10,035 blank lines.
OctoCounts resolved the public GitHub repository to commit 3cd57c038ad8, 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 3cd57c038ad8 on 2026-10-22T06:15:36.103699727+00:00.
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 — 81,770 code lines across 11 languages, counted by tokei.