ClojisR
Interop with R and Renjin for JVM-based applications
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
Verified · Jul 12, 2026Overview
What is ClojisR?
ClojisR enables seamless integration between Clojure and R environments, including Renjin, allowing developers to leverage R's statistical capabilities within JVM-based applications.
Key differentiator
“ClojisR stands out as a specialized tool that bridges Clojure and R, offering unique capabilities to developers who need both environments in their projects.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
ClojisR has a relatively small user base, which can lead to fewer contributions and slower resolution of issues.
Running R code via Renjin on the JVM may introduce performance penalties compared to native R execution.
Setting up ClojisR requires familiarity with both Clojure and the JVM, which can be a barrier for developers not experienced in these technologies.
Fit analysis
Who is it for?
✓ Best for
Developers looking to integrate R statistical libraries into JVM-based applications
Data scientists who prefer working in Clojure but need access to R's extensive library ecosystem
✕ Not a fit for
Projects requiring real-time data processing where the overhead of JVM might be prohibitive
Teams preferring a purely Python or JavaScript environment for their statistical analysis needs
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Integrations
Next step
Get Started with ClojisR
Step-by-step setup guide with code examples and common gotchas.