I know nothing about neural networks, but it looks to me like convo is smart enough to create the convolution of the correct dimension based on the arguments. Where as Keras seem to force you to use a different constructor for different dimensions. That explains why it's called convo, since it creates convolutions of any dimension.

Also, most options are provided as a map to convo as well it looks like, so you'd have similar named arguments for convo once you get to defining optional things like padding and strides.