Stable release tested on multiple platforms with Python 2 and 3. Includes online documentation and example Jupyter notebooks. Major functionality includes:

• Interfacing PRMS input and output files (data, parameters, statvar) with Python
• Systematic and stochastic parameter modifications using Scenario, and Optimizer.monte_carlo
• Python interface to managing and executing PRMS in parallel
• Self-generated metadata files that track model ensemble information including file structures and modifications to inputs