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7. Landscape Analysis (required):

Briefly describe the other software tools (either proprietary or open source) that the audience for this proposal is primarily using. How do the software projects in this proposal compare to these other tools in terms of user base size, usage, and maturity? How do existing tools and the project(s) in this proposal interact? (maximum of 250 words)

Our development of an open-source toolbox for representational similarity analysis began a decade ago with the development of the MATLAB rsatoolbox (https://github.com/rsagroup/rsatoolbox/). This toolbox is the most widely used toolbox for representational similarity analysis in medical imaging. Other toolboxes that offer tools to perform RSA are: The Decoding Toolbox (https://sites.google.com/site/tdtdecodingtoolbox/), CoSMoMVPA (http://www.cosmomvpa.org/),

With the desire to increase accessibility and openness, we started the development of the next version of the rsatoolbox in Python.

RSA has a strong user base in multiple scientific disciplines (e.g. see https://github.com/Charestlab/czi-pyrsa/blob/main/czi-rsa-landmark.png).