There are several public (and even more private) projects in the CADET family.
This is the core simulator.
This is a web interface that can also be installed locally. It supports visualization and can be operated by multiple users at the same time (e.g., classroom setting)
This is a parameter estimation framework using genetic algorithms and novel matching scores.
File-based Python interface to the core simulator.
Materials from the first CADET workshop held in 2019 at Jülich research center. Includes setup of models and parameter estimation (CADET-Match) in Jupyter Python notebooks.
This is a process design and optimization tool. It includes a model builder.
This allows to compute arbitrary precision solutions to a subclass of the chromatography model family.
This is allows to simulate column networks with a single column solver.