decargroup/pykoop
Koopman operator identification library in Python, compatible with `scikit-learn`
This library helps engineers and researchers model complex dynamic systems by transforming non-linear data into a simpler, linear form. You input time-series data from a system, potentially with control inputs, and it outputs a linear model that can predict the system's future behavior. It's designed for control engineers, robotics researchers, and anyone working with system identification and predictive modeling.
104 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to build predictive models for physical systems, such as robots, chemical processes, or aerospace vehicles, and want to leverage the power of linear system theory for complex non-linear dynamics.
Not ideal if your primary goal is to discover the underlying governing equations of a system (SINDy method) rather than simply building a predictive model.
Stars
104
Forks
11
Language
Python
License
MIT
Category
Last pushed
Sep 22, 2025
Commits (30d)
0
Dependencies
7
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