Machine Learning • Cross-Language

skjson Toolkit

A seamless bridge between Python machine learning and JavaScript applications. Train in Python with scikit-learn, and run 100% mathematically accurate inference in the browser or Node.js with zero dependencies.

skjson (Python)

GitHub ↗

Export trained scikit-learn models to JSON format. Supports models, preprocessing, Joblib, and ONNX conversions.

pip install skjson

skjson-js (JavaScript)

GitHub ↗

Universal inference library. Parse JSON models and predict efficiently directly in JS without heavy web assembly bindings.

npm install skjson-js

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Hello! I'm the skjson assistant. You can ask me how to export a RandomForest model, how to load it in JavaScript, or which models are supported!