A Boeing 787-9 Dreamliner flying nonstop from Newark Liberty International Airport (EWR) to Leonardo da Vinci-Fiumicino Airport (FCO) could need $68K in jet fuel over the 8.5-hour flight. Adjusting the flight path for wind conditions could reduce fuel consumption and possibly save a few thousand dollars. Firms like Jeppesen have offerings in this space, but Scikit-decide , together with a narrow- and wide-body fuel consumption model built by a professor at the Delft University of Technology and wind data from NOAA, offer an open source solution. Scikit-decide has been in development for six years. It's a framework for reinforcement learning, automated planning and scheduling. The project can optimise flight paths, re-organise airline workforce schedules and calculate drone swarm paths. OpenAP is an aircraft performance model and toolkit developed by Dr. Junzi Sun. Dr.…