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Amimica vs QuickDup

Amimica

github.com

QuickDup

github.com

Side by side

FigureAmimicaQuickDup
Price from——
Free plan——
Free trial——
Open source——
Windows—Yes
macOS—Yes
Linux—Yes
APIYes—
Self-hostedYes—
Plans published00
Spec score · Code Clone Detection Tools7.5 (#11)6.9 (#20)
LanguagesThe README lists Go, JavaScript, TypeScript, Ruby, Objective-C, and C# support.The README lists comment-prefix support for languages including Go, C/C++, Java, JavaScript/TypeScript, C#, Python, Ruby, SQL, Lua, and others.
LicenseThe repository provides the software under the MIT License.QuickDup is released under the MIT License.
OutputThe CLI can print text or JSON results, including an option to write results to a file.Results are written as machine-readable JSON files in a .quickdup directory.
PurposeAmimica scans repositories for repeated code, from exact copy-paste clones to structurally similar renamed fragments.QuickDup is a structural code clone detector that finds duplicate code patterns using indent-delta fingerprinting and is designed to generate candidates for AI-assisted code review.

In their own words

Amimica

Amimica has no write-up on Specifiction yet; its figures are above.

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QuickDup

QuickDup is a repository code clone detector that finds candidate duplicate patterns using changes in indentation and the first word on each line. It skips comments and blank lines, tokenizes source lines and uses Jaccard similarity to filter patterns below a default 75% threshold. It does not parse abstract syntax trees. Detection options include normalized-indent, word-indent, word-only and inlineable strategies. The README lists comment-prefix detection for languages including Go, C and C++, Java, JavaScript and TypeScript, C#, Python, Ruby, SQL, Lua and MATLAB. QuickDup can emit GitHub Actions annotations for inline pull request comments and restrict them to files changed against a Git reference. Results are written as machine-readable JSON in a .quickdup directory. Incremental caching is available only for the word-indent strategy; other listed strategies re-parse files on each run. The README reports processing about 100,000 lines in about 500 ms on 8 cores. QuickDup is free under the MIT License, with installers for Linux, macOS and Windows, or installation from source with Go.

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