nok/sklearn-porter

Health v2 · maintenance only

Adoption not part of the score

1302 stars · 168 forks observed · 2026-08-28

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

A Python library that transpiles trained scikit-learn estimators into source code for C, Go, Java, JavaScript, PHP, and Ruby. It targets embedded systems and performance-critical applications where running the model natively without a Python runtime matters.

Use cases

• deploy a scikit-learn model on an embedded microcontroller
• run a trained classifier in C or Java without a Python runtime
• port a sklearn model to JavaScript for the browser
• generate native code from a trained SVM or decision tree
• serve predictions from a low-latency critical application

When to choose

• you need to run scikit-learn models on embedded or resource-constrained systems
• you want dependency-free native code for inference
• your target language is C, Go, Java, JS, PHP, or Ruby

When to avoid

• you need deep learning or transformer model export
• you want ONNX or a standard interchange format instead of source code
• you need support for the latest scikit-learn estimators or active updates

Facets

library · maturity maintenance

machine-learning compiler developer-tools machine-learning data-science embedded-systems compilers python cross-platform scikit-learn transpilation code-generation model-deployment estimators

Member repositories

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markdown · JSON · MCP: product_card(name="nok/sklearn-porter")