spotpy - A Statistical Parameter Optimization Tool

spotpy is a Python library for statistical parameter optimization, calibration, and sensitivity analysis of environmental models. It provides a range of algorithms including Monte Carlo, Markov chain Monte Carlo (MCMC), Shuffled Complex Evolution (SCE-UA), DREAM, and various sensitivity analysis methods like FAST and Morris. Current version: 1.6.7. Release cadence is irregular, with several minor releases in recent years.