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Weka

University of Waikato — The classic Java data mining and machine learning workbench from the University of Waikato.

non-python-ecosystemsv3.8.6GPL-3.0qualified
Official DocumentationSource Repository

Model Training

Supported
Accelerators:
CPU
Distributed Training:No

Model Inference

Supported
Inference Accelerators:
CPU
Deployment Targets:server

What It Does

  • +Comprehensive suite of classical predictive algorithms in pure Java: J48 (C4.5 decision tree), SMO (SVM), NaiveBayes, IBk (k-NN), JRip
  • +Visual interactive GUIs: Weka Explorer, Experimenter, and KnowledgeFlow workflow designer
  • +Attribute-Relation File Format (ARFF) data handling with extensive filter library
  • +Embeddable Java API callable directly from Java, Kotlin, and Scala enterprise codebases

What It Does Not Do

  • -Permit closed-source commercial embedding without GPL-3.0 copyleft obligations (unless a commercial license is purchased)
  • -Train modern deep neural networks or Vision Transformers on GPUs
  • -Deploy client-side in pure web browsers without Java applets (which are obsolete)

>Suitable Work Types

  • Teaching introductory data mining and decision trees in university computer science courses
  • Embedding verified decision tree classifiers into legacy enterprise Java EE or Spring Boot applications
  • Visual interactive exploration of tabular data without writing code

>Unsuitable Work Types

  • Proprietary closed-source SaaS products that cannot comply with GPL-3.0 license terms (use Smile or Tribuo)
  • Deep learning generative AI tasks
Data Residency Implications

Runs strictly locally inside the JVM process. Zero telemetry or external network calls.

Operational Profile & Known Limitations

Maturity:mature
Learning Curve:low
Ops Complexity:low
Cost Tier:free-oss
> Known Limitations:
  • GPL-3.0 license is restrictive for proprietary enterprise software; dataset sizes are bound by JVM heap allocation.

Associated Incident Patterns (Incidentpedia)

Enforce safeguards and monitoring to guard against these documented real-world failure modes:

runtime-oom-crash

> Primary Evidence & Benchmark Citations

Weka Documentation and Manualofficial-docs • 3.8.6
2026-09-25HIGH