This page compares the source lines of code (SLOC) of gin-gonic/gin and labstack/echo 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, gin-gonic/gin contains 25,620 total lines (17,982 code) across 112 files, while labstack/echo contains 43,931 total lines (33,273 code) across 121 files as of 2026-08-26. labstack/echo is about 1.9x the size of gin-gonic/gin by code lines. Code size is not code quality: a larger count only means more source material, not a better or worse project.
| Metric | gin-gonic/gin | labstack/echo |
|---|---|---|
| Files | 112 | 121 |
| Total lines | 25,620 | 43,931 |
| Code lines | 17,982 | 33,273 |
| Comment lines | 3,736 | 5,417 |
| Blank lines | 3,902 | 5,241 |
| Languages counted | 7 | 7 |
Top languages in gin-gonic/gin: Go (99.4% of code), Makefile (0.5% of code), YAML (0.1% of code). Top languages in labstack/echo: Go (99.8% of code), Makefile (0.1% of code), HTML (0.1% of code). Go, Makefile, YAML appear in both top language lists; Protocol Buffers, Templ appear only in gin-gonic/gin's top languages; HTML, JSON appear only in labstack/echo's top languages.
Methodology: both counts come from cached OctoCounts reports generated with tokei. gin-gonic/gin was counted at ref master (commit dcaa4296d111) on 2026-08-26; labstack/echo was counted at ref master (commit e552b4de75b6) on 2026-08-26. 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.
labstack/echo has more code: 33,273 code lines versus 17,982 for gin-gonic/gin, about 1.9x as much, based on cached OctoCounts reports as of 2026-08-26.
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 gin-gonic/gin, labstack/echo, or any repository.
Methodology: both counts come from cached OctoCounts reports generated with tokei. gin-gonic/gin was counted at ref master (commit dcaa4296d111) on 2026-08-26; labstack/echo was counted at ref master (commit e552b4de75b6) on 2026-08-26. 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.