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RepoClash › Linter rivals
RepoClash · the open-source arena
shellcheck vs hadolint
Linter rivals. Both tagged linter, static-analysis, haskell. Six rounds of real GitHub data, an AI referee, and the crowd picks a side.
Red corner
VSBlue corner
koalaman/shellcheck: 40,321 stars, Haskell. ShellCheck, a static analysis tool for shell scripts
hadolint/hadolint: 12,524 stars, Haskell. Dockerfile linter, validate inline bash, written in Haskell
shellcheck vs hadolint: tale of the tape
GitHub data as of November 11, 2026shellcheck has 3.2 times as many GitHub stars as hadolint (40,321 vs 12,524). In the last 6 days, shellcheck gained more stars: +37 (+0.1%) against +8 (+0.1%) for hadolint. hadolint saw more development in the last 52 weeks with 119 commits, against 95 for shellcheck. shellcheck is the older project (created November 2012), hadolint started in November 2015. Both are written mainly in Haskell.
| koalaman/shellcheck | hadolint/hadolint | |
|---|---|---|
| Stars | 40,321 | 12,524 |
| Stars gained, last 6 days | +37 | +8 |
| Growth, last 6 days | +0.1% | +0.1% |
| Avg. stars per day since creation | 8 | 3 |
| Forks | 1,974 | 514 |
| Commits, last 52 weeks | 95 | 119 |
| Open issues | 1,076 | 196 |
| Best Repocharts rank today | #2 in Haskell | #5 in Haskell |
| Language | Haskell | Haskell |
| License | GPL-3.0 | GPL-3.0 |
| Created | Nov 17, 2012 | Nov 15, 2015 |
| Last push | Nov 9, 2026 | Oct 19, 2026 |
Quick answers
Which is more popular, shellcheck or hadolint?
shellcheck has 3.2 times as many GitHub stars as hadolint (40,321 vs 12,524) (Repocharts data as of November 11, 2026).
Which is growing faster, shellcheck or hadolint?
In the last 6 days, shellcheck gained more stars: +37 (+0.1%) against +8 (+0.1%) for hadolint.
Which is more actively developed?
hadolint saw more development in the last 52 weeks with 119 commits, against 95 for shellcheck.
What languages are shellcheck and hadolint written in?
Both are written mainly in Haskell.
How does RepoClash compare shellcheck and hadolint?
RepoClash scores both repositories in six rounds (popularity, momentum, activity, community, maintenance and freshness) from public GitHub data, adds an AI referee's verdict and lets developers vote for their favorite. Star counts are updated daily.
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