As of 2026-08-30 (commit 4de119c74497), vitali87/code-graph-rag contains 234,454 total lines: 122,847 code, 87,563 comments, 24,044 blank, across 493 files in 22 languages (top: Python 73.5%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving vitali87/code-graph-rag to commit 4de119c74497, 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 52.4% of all lines, comments represent 37.3%, and the repository averages 249 code lines per file. Python accounts for 73.5% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 352 | 116361 | 90301 | 14071 | 11989 |
| JSON | 25 | 25139 | 25139 | 0 | 0 |
| YAML | 56 | 2110 | 1772 | 328 | 10 |
| C# | 3 | 1879 | 1434 | 343 | 102 |
| Java | 7 | 1153 | 912 | 155 | 86 |
| JavaScript | 5 | 976 | 684 | 226 | 66 |
| Go | 3 | 643 | 497 | 104 | 42 |
| Rust | 1 | 530 | 494 | 32 | 4 |
| Protocol Buffers | 1 | 409 | 270 | 77 | 62 |
| Dart | 2 | 320 | 263 | 35 | 22 |
| TOML | 2 | 243 | 211 | 9 | 23 |
| Shell | 3 | 242 | 172 | 33 | 37 |
Top language (Python 73.5%). Generated at .
vitali87/code-graph-rag has 234,454 total lines, including 122,847 code lines, 87,563 comment lines, and 24,044 blank lines.
OctoCounts resolved the public GitHub repository to commit 4de119c74497, 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 4de119c74497 on 2026-08-30T12:03:03.888585006+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: