Model Hubs & Serving

clj-ml

Machine learning library for Clojure leveraging Weka and more.

Status
UnmaintainedNo commits in 3390 days.
Last checked
Checked · Oct 14, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

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.

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.

When it fits — and when it doesn’t

A good fit 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.

Look elsewhere if

  • Teams requiring real-time streaming data processing capabilities.

  • Developers working in languages other than Clojure, as it is tightly integrated with the language.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support due to Clojure-centric design

    clj-ml is built specifically for the Clojure programming language, limiting its usability in non-Clojure environments.

  2. 02

    Dependence on Weka can lead to performance bottlenecks

    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.

  3. 03

    Smaller community and limited third-party integrations

    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.

What it does well

  • Integration with Weka for a wide range of machine learning algorithms.

  • Simplified API for implementing machine learning models in Clojure.

  • Extensive documentation and examples.

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

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Set up clj-ml

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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