As of 2026-08-06 (commit 52597446e63c), langchain-ai/open-swe contains 134,253 total lines: 112,804 code, 3,194 comments, 18,255 blank, across 615 files in 15 languages (top: Python 60.2%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving langchain-ai/open-swe to commit 52597446e63c, 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 large codebase by counted code lines. Code represents 84.0% of all lines, comments represent 2.4%, and the repository averages 183 code lines per file. Python accounts for 60.2% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 358 | 82055 | 67896 | 811 | 13348 |
| TSX | 130 | 24793 | 22521 | 521 | 1751 |
| YAML | 4 | 14524 | 12862 | 0 | 1662 |
| TypeScript | 66 | 8082 | 6886 | 461 | 735 |
| JSON | 15 | 1222 | 1219 | 0 | 3 |
| JavaScript | 5 | 844 | 787 | 3 | 54 |
| CSS | 2 | 391 | 332 | 40 | 19 |
| TOML | 2 | 112 | 88 | 12 | 12 |
| HTML | 3 | 71 | 69 | 0 | 2 |
| Shell | 1 | 63 | 49 | 12 | 2 |
| Makefile | 1 | 77 | 46 | 13 | 18 |
| SVG | 5 | 30 | 30 | 0 | 0 |
Top language (Python 60.2%). Generated at 2026-08-06T16:38:42.100155878+00:00.
langchain-ai/open-swe has 134,253 total lines, including 112,804 code lines, 3,194 comment lines, and 18,255 blank lines.
OctoCounts resolved the public GitHub repository to commit 52597446e63c, 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 52597446e63c on 2026-08-06T16:38:42.100155878+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: