Hi all, let me make some advertisement for a hobby project I've realized last weekend. The John Hopkins University publishes public data on world-wide contagion of the virus. So I thought "Let's make use of it!" I've build a small job which automatically downloads a csv (scheduled via a cron job) and transforms data into a panel. Next, the job computes 7-days ahead forecasts based on latest available daily data for various country-province combination. Freshly compiled plots are uploaded to github. The underlying model is of the simple ARIMA type -- nothing fancy as it's mainly for for illustration on how to use gretl for such a task. By the way, the job is running on a Raspberry 4 with 2GB RAM -- and just works nicely. It wasn't difficult to compile gretl on it and required dependencies are almost the same as for an Ubuntu system. Code and up to date plots can be found here: https://github.com/atecon/covid_19_forecast Enjoy, Artur