This page compares the source lines of code (SLOC) of alacritty/alacritty and kovidgoyal/kitty using cached OctoCounts reports. Code size is not code quality: a larger count only means more source material, not a better or worse project.
As of 2026-08-26, alacritty/alacritty contains 37,968 total lines (28,905 code) across 118 files, while kovidgoyal/kitty contains 372,209 total lines (270,304 code) across 906 files as of 2026-08-31. kovidgoyal/kitty is about 9.4x the size of alacritty/alacritty by code lines. Code size is not code quality: a larger count only means more source material, not a better or worse project.
| Metric | alacritty/alacritty | kovidgoyal/kitty |
|---|---|---|
| Files | 118 | 906 |
| Total lines | 37,968 | 372,209 |
| Code lines | 28,905 | 270,304 |
| Comment lines | 3,429 | 71,867 |
| Blank lines | 5,634 | 30,038 |
| Languages counted | 10 | 12 |
Top languages in alacritty/alacritty: Rust (85.4% of code), SVG (9.9% of code), BASH (1.8% of code). Top languages in kovidgoyal/kitty: Go (26.7% of code), Python (26.7% of code), C (26.0% of code). Rust, SVG, BASH, GLSL, TOML appear only in alacritty/alacritty's top languages; Go, Python, C, C Header, Objective-C appear only in kovidgoyal/kitty's top languages.
Methodology: both counts come from cached OctoCounts reports generated with tokei. alacritty/alacritty was counted at ref master (commit ede2ac144da4) on 2026-08-26; kovidgoyal/kitty was counted at ref master (commit 4c784bc8e3e3) on 2026-08-31. See the counting methodology for ignored directories and analysis options.
Evidence and next steps:
Note: code size is not code quality. OctoCounts only reports reproducible line counts and makes no claim that either project is better.
kovidgoyal/kitty has more code: 270,304 code lines versus 28,905 for alacritty/alacritty, about 9.4x as much, based on cached OctoCounts reports as of 2026-08-31.
Not necessarily. SLOC measures size, not complexity, quality, or maintainability. A larger codebase can mean more features, more generated or vendored code, more verbose language idioms, or more tests — none of which imply the code is harder to work with. Use SLOC to gauge the scale of what you'd be reading or maintaining, not as a quality signal for alacritty/alacritty, kovidgoyal/kitty, or any repository.
Methodology: both counts come from cached OctoCounts reports generated with tokei. alacritty/alacritty was counted at ref master (commit ede2ac144da4) on 2026-08-26; kovidgoyal/kitty was counted at ref master (commit 4c784bc8e3e3) on 2026-08-31. See the counting methodology for ignored directories and analysis options.
Yes. This page shows the default branch for each repository. Use the interactive comparison tool to pick any public GitHub repository, branch, tag, or commit SHA for both sides and get a fresh side-by-side report.