clj-ml
Machine learning library for Clojure leveraging Weka and more.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Verified · Jul 12, 2026Overview
What is clj-ml?
clj-ml is a machine learning library built for the Clojure programming language, providing access to various algorithms through integration with Weka. It simplifies the process of implementing machine learning models in Clojure applications.
Key differentiator
“clj-ml stands out by providing a seamless integration of Weka's machine learning algorithms within the Clojure ecosystem, making it an ideal choice for developers who prefer to work exclusively in Clojure.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
clj-ml is built specifically for the Clojure programming language, limiting its usability in non-Clojure environments.
Weka's algorithms and data structures may not be optimized for modern hardware or large datasets, potentially leading to slower performance compared to more recent machine learning libraries.
The Clojure ecosystem is smaller than other mainstream programming languages like Python, which can result in fewer contributors and less comprehensive third-party support for clj-ml.
Fit analysis
Who is it for?
✓ Best for
Developers looking for a Clojure-specific library to integrate machine learning models.
Projects that require the use of Weka algorithms within a Clojure environment.
Educators and students who want to teach or learn machine learning using Clojure.
✕ Not a fit for
Teams requiring real-time streaming data processing capabilities.
Developers working in languages other than Clojure, as it is tightly integrated with the language.
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
Alternatives
Next step
Get Started with clj-ml
Step-by-step setup guide with code examples and common gotchas.