There could be a few things, but main issues I see are that the package you want to use is only available for Python 3.7 (except on Linux, which has one 3.9 build) and you are prioritizing conda-forge channel in an Anaconda base. If you don't already have Python 3.7 in the base, Conda is probably wasting a ton of time trying to figure out how to solve this. And over-prioritizing Conda Forge packages in Anaconda base is crushingly difficult to solve.
General recommendation is to create a new environment, and include the ipykernel
package if you want to use it as a Jupyter kernel
conda create -n nutopy -c conda-forge -c control-toolbox python=3.7 nutopy ipykernel
You can still launch Jupyter with base activated and then change kernels in the notebook.