Mforecast is a Web-App written in R with the shiny package which allows you to forecast monthly time series based on the past observations multi-steps ahead. The technique includes statistical models and recurrent neural networks and is fully automatic. Any type of monthly equidistant time series can be handled by the algorithms. To make full use of the algorithms your time series must at least have 36 data points.
The design is such that you can get easy data up- and download. Zooming, renaming the axes and dynamic horizons are important features of this app.
Validation is an important task in every forecasting szenario. We provide an optical and data error view of the developement, what your forecast would have been, if you used this app! Compare it with your forecast generated in the past.
Please the Blog for instructions and further informations.