sklearn-porter
Transpile trained scikit-learn estimators to C, Java, JavaScript, Go, PHP, and Ruby for embedded systems and performance-critical applications.
What is sklearn-porter?
sklearn-porter is a Python library that transpiles trained scikit-learn machine learning models into source code for languages like C, Java, JavaScript, Go, PHP, and Ruby. It solves the problem of deploying scikit-learn models in environments where Python is not available or where performance and resource constraints are critical, such as embedded systems or web applications.
Data scientists and machine learning engineers who need to deploy scikit-learn models in production environments outside of Python, particularly in embedded systems, mobile apps, or serverless architectures.
Developers choose sklearn-porter for its reliability, wide language support, and ability to maintain model accuracy while enabling deployment in performance-critical and resource-constrained environments without Python overhead.
Overview
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
Use Cases
Best For
- Deploying scikit-learn models on embedded systems with limited resources
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