The OWL norm generalizes L1, L_inf and OSCAR. In particular, OSCAR selects coefficients in groups with equal values, therefore handling highly correlated features in a robust way.
Also known as Sorted L1 norm or SLOPE.
This implementation manages to be very short thanks to the awesome scientific python ecosystem.