# scylladb/scylladb SLOC report

> As of 2026-09-15 (commit 0e61d575ae35), scylladb/scylladb contains 537,721 total lines: 397,729 code, 71,715 comments, 68,277 blank, across 1,952 files in 17 languages (top: C++ 60.9%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

scylladb/scylladb has 397,729 source lines of code out of 537,721 total lines across 1,952 files, counted from the 0e61d575ae3518481ef0b49e1101eac28a1ced9f ref at commit 0e61d575ae35 by the OctoCounts tokei engine on 2026-09-15. 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 scylladb/scylladb to commit 0e61d575ae35, 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 74.0% of all lines, comments represent 13.3%, and the repository averages 204 code lines per file. C++ accounts for 60.9% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| C++ | 579 | 308,858 | 242,277 | 30,657 | 35,924 |
| C++ Header | 1,152 | 171,417 | 109,577 | 35,481 | 26,359 |
| Python | 50 | 24,271 | 19,395 | 1,367 | 3,509 |
| JSON | 29 | 12,831 | 12,794 | 0 | 37 |
| C Header | 1 | 6,526 | 5,709 | 139 | 678 |
| CMake | 65 | 3,645 | 2,988 | 357 | 300 |
| Shell | 20 | 3,113 | 2,573 | 245 | 295 |
| Lua | 8 | 1,024 | 669 | 190 | 165 |
| Rust | 5 | 698 | 571 | 68 | 59 |
| BASH | 5 | 575 | 445 | 60 | 70 |
| YAML | 8 | 1,561 | 403 | 1,002 | 156 |
| Nix | 3 | 282 | 203 | 35 | 44 |

Top language (C++ 60.9%). Generated at 2026-09-15T12:01:30.654288169+00:00. Canonical report: https://octocounts.com/github/scylladb/scylladb

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/scylladb/scylladb/commit/0e61d575ae3518481ef0b49e1101eac28a1ced9f?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).

## Report FAQ

### How many lines of code does scylladb/scylladb have?

scylladb/scylladb has 537,721 total lines, including 397,729 code lines, 71,715 comment lines, and 68,277 blank lines.

### How was the scylladb/scylladb line count measured?

OctoCounts resolved the public GitHub repository to commit 0e61d575ae35, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for scylladb/scylladb?

This OctoCounts report was generated from 0e61d575ae3518481ef0b49e1101eac28a1ced9f at commit 0e61d575ae35 on 2026-09-15T12:01:30.654288169+00:00.

## Similar repository reports

- [electronicarts/CnC_Red_Alert](https://octocounts.com/github/electronicarts/CnC_Red_Alert) — C++, 368,288 code lines
- [YimMenu/YimMenuV2](https://octocounts.com/github/YimMenu/YimMenuV2) — C++, 357,897 code lines
- [k2-fsa/sherpa-onnx](https://octocounts.com/github/k2-fsa/sherpa-onnx) — C++, 328,396 code lines
- [hsutter/cppfront](https://octocounts.com/github/hsutter/cppfront) — C++, 476,996 code lines
- [gammasoft71/xtd](https://octocounts.com/github/gammasoft71/xtd) — C++, 304,844 code lines
- [memgraph/memgraph](https://octocounts.com/github/memgraph/memgraph) — C++, 299,153 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)