
Well-tested: Users should be confident that ecosystem projects will work well with PyTorch, and include support for CI to ensure that testing is occurring on a continuous basis and the project can run on the latest version of PyTorch.
Clear utility: Users should understand where each project fits within the PyTorch ecosystem and the value it brings.
Permissive licensing: Users must be able to utilize ecosystem projects without licensing concerns. e.g. BSD-3, Apache-2 and MIT licenses
Easy onboarding: Projects need to have support for binary installation options (pip/Conda), clear documentation and a rich set of tutorials (ideally built into Jupyter notebooks).
Ongoing maintenance: Project authors need to be committed to supporting and maintaining their projects.
Community: Projects should have (or be on track to building) an active, broad-based community.
