Help make the Shyft toolbox better
We always need help improving documentation, preparing good examples and of course extending the code base.
We group members of the Shyft community into several categories:
users are those interested in using Shyft for time-series, dashboard, energy-market or hydrologic analysis.
contributers are those who will explore the Python API and may contribute back to the project in the form of documentation and examples.
developers are those who are interested in the C++ core, and are interested in creating their own algorithms. Advance programming skills and familiarity are required.
Please check the Shyft wiki on our GitLab site for more information on how to participate in development.