As of 2026-06-18 (commit 1b5ef20505e1), angr/angr contains 378,429 total lines: 318,340 code, 18,526 comments, 41,563 blank, across 1,655 files in 16 languages (top: Python 64.2%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving angr/angr to commit 1b5ef20505e1, 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 84.1% of all lines, comments represent 4.9%, and the repository averages 192 code lines per file. Python accounts for 64.2% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 1193 | 260735 | 204337 | 16115 | 40283 |
| JSON | 417 | 106105 | 106105 | 0 | 0 |
| Rust | 15 | 3530 | 2907 | 124 | 499 |
| C++ | 2 | 3353 | 2715 | 404 | 234 |
| Shell | 6 | 917 | 703 | 51 | 163 |
| C++ Header | 1 | 960 | 671 | 111 | 178 |
| Protocol Buffers | 5 | 422 | 342 | 17 | 63 |
| TOML | 4 | 262 | 231 | 2 | 29 |
| C | 2 | 194 | 143 | 26 | 25 |
| C Header | 2 | 120 | 89 | 21 | 10 |
| Module-Definition | 1 | 51 | 50 | 0 | 1 |
| Makefile | 1 | 48 | 41 | 0 | 7 |
Top language (Python 64.2%). Generated at .
angr/angr has 378,429 total lines, including 318,340 code lines, 18,526 comment lines, and 41,563 blank lines.
OctoCounts resolved the public GitHub repository to commit 1b5ef20505e1, 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 master at commit 1b5ef20505e1 on 2026-06-18T10:54:38.077347345+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: