oracle/tribuo

Health v2 · maintenance only

Adoption not part of the score

1417 stars · 197 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Tribuo is a Java machine learning library from Oracle Labs providing classification, regression, clustering, anomaly detection, and multi-label prediction with a strongly typed, unified API. It wraps libraries like XGBoost and TensorFlow, supports ONNX import/export, and records provenance for models, datasets, and evaluations.

Use cases

• train a classification model in Java
• run scikit-learn or pytorch models in a JVM app via ONNX
• do regression and clustering on the JVM
• track model provenance for reproducible ML experiments
• build a text classification pipeline in Java
• export Java-trained models to ONNX for cloud deployment

When to choose

• you need ML in a pure Java/JVM codebase without Python
• you want strongly typed models and built-in provenance tracking
• you need to deploy Python-trained models inside Java services via ONNX

When to avoid

• your workflow is Python-centric with pandas and scikit-learn
• you need cutting-edge deep learning research features
• you need GPU-heavy training at scale

Facets

library · maturity active

machine-learning nlp deep-learning serialization data-science machine-learning data-science developer-tools jvm cross-platform windows classification regression clustering anomaly-detection multi-label onnx provenance xgboost tensorflow oracle natural-language-processing linux macos

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