We do have support for quite a few chromatic adaptation transforms to cones space (https://github.com/colour-science/colour/blob/develop/colour/adaptation/datas

We do have support for quite a few chromatic adaptation transforms to cones space (https://github.com/colour-science/colour/blob/develop/colour/adaptation/dataset/cat.py https://github.com/colour-science/colour/blob/develop/colour...) some cones space transformation are directly tied to the various chromatic adaptation models (https://github.com/colour-science/colour/tree/develop/colour/adaptation https://github.com/colour-science/colour/tree/develop/colour...) or colour appearance models (https://github.com/colour-science/colour/tree/develop/colour/appearance https://github.com/colour-science/colour/tree/develop/colour...) we have implemented. We also have the Stockman & Sharpe Cone Fundamentals for 2 and 10 degree observers (https://github.com/colour-science/colour/blob/develop/colour/colorimetry/dataset/cmfs.py#L90 https://github.com/colour-science/colour/blob/develop/colour...) and the code to convert those cone fundamentals cmfs to the corresponding XYZ cmfs (https://github.com/colour-science/colour/blob/develop/colour/colorimetry/transformations.py#L229 https://github.com/colour-science/colour/blob/develop/colour...) although it is more educational than anything else because often, the resulting cmfs are manually adjusted (I would have to check if it is the case with the XYZ cmfs resulting from the LMS cmfs).