1. Documentation
2. 2025.0 (Latest) 2024.1 2024.0 10.3 10.2 10.1 10.0 9.10 9.9 9.8 9.7 9.6 9.5 9.4 9.3 9.2 9.1 9.0 8.2 8.1 8.0 7.6
3. Python
4. Python Scripting Extension

Call Python from RapidMiner

To execute Python code as part of a RapidMiner process, we provide the Python Scripting Extension, which is available for download on the RapidMiner Marketplace. It also ships as part of RapidMiner AI Hub.

• To get started, you need to install and configure the Python Scripting extension.
• To augment your RapidMiner processes with Python code, use the Execute Python operator.
• If you want to go one step further and package your Python code as a reusable RapidMiner operator with its own parameters, use the Python Transformer operator.
• If you want to create predicitve models using Python libraries such as sklearn, and use those models transparently in RapidMiner processes, use the Python Learner operator.
• If you want to create forecasting models using Python libraries such as fbprophet or statsmodels, and use those models transparently in RapidMiner processes, use the Python Forecaster operator.
• If you're working with multiple Python environments, learn how to manage environments.
• If you need low latency Python execution in your web service deployments, learn more about RapidMiner StandPy.