# The-OpenROAD-Project/OpenROAD SLOC report

> As of 2026-10-23 (commit 8c65de59e62f), The-OpenROAD-Project/OpenROAD contains 1,031,978 total lines: 816,455 code, 100,573 comments, 114,950 blank, across 2,817 files in 31 languages (top: C++ 69.9%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

The-OpenROAD-Project/OpenROAD has 816,455 source lines of code out of 1,031,978 total lines across 2,817 files, counted from the master ref at commit 8c65de59e62f by the OctoCounts tokei engine on 2026-10-23. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.

OctoCounts produced this report by resolving The-OpenROAD-Project/OpenROAD to commit 8c65de59e62f, 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.

## Repository size insights

This is a large codebase by counted code lines. Code represents 79.1% of all lines, comments represent 9.7%, and the repository averages 290 code lines per file. C++ accounts for 69.9% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| C++ | 1,013 | 678,691 | 570,409 | 39,488 | 68,794 |
| C Header | 882 | 151,970 | 102,551 | 27,268 | 22,151 |
| C++ Header | 265 | 71,071 | 45,445 | 16,197 | 9,429 |
| JavaScript | 43 | 19,574 | 14,419 | 3,324 | 1,831 |
| TCL | 59 | 17,399 | 14,320 | 703 | 2,376 |
| SWIG | 76 | 14,856 | 12,760 | 499 | 1,597 |
| Happy | 2 | 12,818 | 12,006 | 0 | 812 |
| Bazel | 94 | 11,128 | 9,536 | 762 | 830 |
| Python | 60 | 9,851 | 7,801 | 648 | 1,402 |
| JSON | 80 | 5,864 | 5,861 | 0 | 3 |
| CMake | 97 | 6,881 | 5,245 | 707 | 929 |
| Snakemake | 2 | 5,412 | 5,010 | 0 | 402 |

Top language (C++ 69.9%). Generated at 2026-10-23T08:02:25.540024488+00:00. Canonical report: https://octocounts.com/github/The-OpenROAD-Project/OpenROAD

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/The-OpenROAD-Project/OpenROAD/commit/8c65de59e62f46d34240090df58bc8f961af5c19?analysis=%7B%22ignoredDirs%22%3A%5B%5D%2C%22ignoredLanguages%22%3A%5B%5D%2C%22profile%22%3A%22default%22%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22includeGenerated%22%3Afalse%7D&reportId=b6f76d4577320eb9c7db15be592d304bef472c3b1718c2397d8ad4bb3d01e7f1).

## Report FAQ

### How many lines of code does The-OpenROAD-Project/OpenROAD have?

The-OpenROAD-Project/OpenROAD has 1,031,978 total lines, including 816,455 code lines, 100,573 comment lines, and 114,950 blank lines.

### How was the The-OpenROAD-Project/OpenROAD line count measured?

OctoCounts resolved the public GitHub repository to commit 8c65de59e62f, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for The-OpenROAD-Project/OpenROAD?

This OctoCounts report was generated from master at commit 8c65de59e62f on 2026-10-23T08:02:25.540024488+00:00.

## Similar repository reports

- [ggml-org/llama.cpp](https://octocounts.com/github/ggml-org/llama.cpp) — C++, 794,101 code lines
- [d99kris/nchat](https://octocounts.com/github/d99kris/nchat) — C++, 850,012 code lines
- [OpenRCT2/OpenRCT2](https://octocounts.com/github/OpenRCT2/OpenRCT2) — C++, 851,181 code lines
- [apache/trafficserver](https://octocounts.com/github/apache/trafficserver) — C++, 890,159 code lines
- [protocolbuffers/protobuf](https://octocounts.com/github/protocolbuffers/protobuf) — C++, 893,906 code lines
- [PrismML-Eng/llama.cpp](https://octocounts.com/github/PrismML-Eng/llama.cpp) — C++, 714,269 code lines

## Related OctoCounts pages

- [Recently analyzed repositories](https://octocounts.com/recent)
- [Popular SLOC reports](https://octocounts.com/popular)
- [Trending GitHub repositories](https://octocounts.com/trending)
- [Hall of Monoliths](https://octocounts.com/hall-of-monoliths)
- [TensorFlow vs PyTorch](https://octocounts.com/compare/tensorflow-vs-pytorch)
- [Electron vs Tauri](https://octocounts.com/compare/electron-vs-tauri)
- [Godot vs Bevy](https://octocounts.com/compare/godot-vs-bevy)
- [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter)
- [Counting methodology](https://octocounts.com/docs/methodology)
- [SLOC and code metrics glossary](https://octocounts.com/docs/glossary)
- [Original research: how filtering changes SLOC counts](https://octocounts.com/research)
- [OctoCounts API docs](https://octocounts.com/docs/api)
