Head-to-head · Code Clone Detection Tools
art-dupl vs semdup
art-dupl leads on 0 checks, semdup on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreart-dupl · 9.2/10
art-dupl scores higher on our rubric for code clone detection tools: 9.2 against 8.4 out of 10; our editors rank them #2 and #8.
On clone detection method, semdup gives you Semantic where art-dupl offers Ast.
art-dupl is the better fit for go teams needing deep CI clone analysis. semdup is the better fit for semantic duplicate detection with local inference.
- art-dupl fits best
Go teams needing deep CI clone analysis
- semdup fits best
Semantic duplicate detection with local inference
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Side by side
| Feature | art-dupl 9.2/10 Visit ↗ | semdup 8.4/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.2 | 8.4 |
| Ranking | #2 in Code Clone Detection Tools | #8 in Code Clone Detection Tools |
| Best for | Go teams needing deep CI clone analysis | Semantic duplicate detection with local inference |
| Pricing model | Free | Free |
| Starting price | Open source | Open source |
| Free plan | Not checked yet | Not checked yet |
| Free trial | — | — |
| Deployment | Self-hosted | Self-hosted |
| Integrations | 3 integrations | 2 integrations |
| Built for | Small business, Mid-market, Enterprise | Solo, Small business |
| Features art-dupl 2/3 · semdup 2/3 | ||
| CI integration | ✓ | ✓ |
| IDE integration | Not checked yet | Not checked yet |
| Self-hosted option | ✓ | ✓ |
| Specs | ||
| Clone detection method | Ast | Semantic |
| Scan scope | Repository | Repository |
| Supported languages | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
|
|
| Cons |
|
|
| Our verdict | art-dupl is an open-source command-line tool for detecting duplicated code in Go and Templ projects. It analyzes repositories through AST-based structural detection and supports semantic, exact, structural, suffix-tree, and hash-based… Read the review → |
semdup is an open-source command-line tool for identifying near-duplicate source code by comparing semantic meaning rather than token sequences. It indexes functions or code blocks, stores embeddings locally, and reports duplicate clusters… Read the review → |
Strengths and trade-offs
art-dupl — where it wins
- AST-based semantic, exact, and structural clone detection
- Generated-code filtering, baselines, and CI checks
- GitHub integrations plus a programmatic Go SDK
Where it doesn't
- Source analysis is focused on Go and Templ projects
- Self-hosted operation puts environment management on the team
- CLI and SDK workflows may be more than small projects need
semdup — where it wins
- Finds semantic duplicates beyond token-level similarity
- Supports local CPU or CUDA inference with ONNX
- Automates repository scans through GitHub Actions
Where it doesn't
- Self-hosted installation adds deployment responsibility
- Amazon Bedrock embeddings may incur separate AWS charges
- Language support is limited to the listed programming languages
- art-dupl9.2/10 · Open source
A focused, self-hosted clone analyzer for Go teams building duplication checks into CI.
Visit art-duplFull verdict → - semdup8.4/10 · Open source
A self-hosted semantic clone detector with repository diff and CI support.
Visit semdupFull verdict →
More comparisons
- jscpd vs art-dupl
- jscpd vs semdup
- art-dupl vs PMD
- art-dupl vs NiCad
- art-dupl vs Amimica
- art-dupl vs @kongyo2/similarity-ts
- art-dupl vs QuickDup
- PMD vs semdup
All code clone detection tools comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update

