clj-boost
Wrapper for XGBoost in Clojure
Pricing
See website
Flat rate
Adoption
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Open Source
Data freshness
—Overview
What is clj-boost?
clj-boost is a Clojure wrapper around the popular machine learning library XGBoost, providing developers with an easy-to-use interface to leverage powerful gradient boosting algorithms.
Key differentiator
“clj-boost stands out as the only Clojure-specific wrapper for XGBoost, offering a streamlined experience for developers looking to leverage gradient boosting within their Clojure projects.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Fit analysis
Who is it for?
✓ Best for
Clojure developers looking to integrate gradient boosting algorithms into their applications without leaving the Clojure ecosystem.
Projects that require a seamless integration of machine learning with existing Clojure codebases.
✕ Not a fit for
Developers who prefer working in languages other than Clojure
Teams requiring real-time model training and inference capabilities
Cost structure
Pricing
Free Tier
None
Starts at
See website
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Next step
Get Started with clj-boost
Step-by-step setup guide with code examples and common gotchas.