This would have been super useful while writing my comparison of Deep Learning Frameworks[0]. Trying to create quantifiable measures for OSS health is tough, b

This would have been super useful while writing my comparison of Deep Learning Frameworks[0]. Trying to create quantifiable measures for OSS health is tough, but I used commit rates and merged PRs as a proxy for developer activity and # of StackOverflow Qs and Github Repos using the framework as signs of a growing ecosystem/community [1]. It's far from perfect, but it ranks maintenance-level projects like Theano low, and growing projects with momentum like PyTorch high. "Health" is a broader term, however. Would you consider Redis as healthy, despite the "(not) open core" controversy that's begun to foment? Not all controversies are fatal to projects (see: nodejs/iojs) but some are... Also funding is a big deal. It's hard to quantify objectively unless it's done exclusively through a public crowd-funding option... [0] https://source.coveo.com/2018/08/14/deep-learning-showdown/ https://source.coveo.com/2018/08/14/deep-learning-showdown/ [1] https://source.coveo.com/2018/08/14/deep-learning-showdown/#round1 https://source.coveo.com/2018/08/14/deep-learning-showdown/#...