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Our comparison covers Tourism, M3, M4, ERCOT, and ETTm2 datasets, following the authors' recommended hyperparameter and network configuration settings. Despite Neural-Prophet's outstanding success over its unreliable predecessor, its errors are still 30 percent larger than ETS' while doubling its computation time.
There is also a version of N-BEATS in Darts (https://github.com/unit8co/darts) that extends the original N-BEATS by * Accepting exogenous covariate time series * Being able to produce probabilistic forecasts * Working on multivariate time series (all of this out of the box, fit() / predict() style) :D
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