As an aside, in my opinion there is no clear leader in the SNN package /framework race yet, particularly for applied commercial use. This contrasts starkly with DNN frameworks, where Tensorflow/Keras, PyTorch and to a lesser extend MXNet are the pack leaders, with numerous utilities, broad support, tutorials and example code.
However, snnTorch has gained very strong support in just 12-18 months as one of the most popular SNN packages, probably due to the factors I outlined above. My personal opinion is that it may become a leader due to its usability and support, another factor in chosing it for my own research.
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