Comet.ml vs Deepo: What are the differences?

Developers describe Comet.ml as "Track, compare and collaborate on Machine Learning experiments". Comet.ml allows data science teams and individuals to automagically track their datasets, code changes, experimentation history and production models creating efficiency, transparency, and reproducibility. On the other hand, Deepo is detailed as "A Docker image containing almost all popular deep learning frameworks". Deepo is a Docker image with a full reproducible deep learning research environment. It contains most popular deep learning frameworks: theano, tensorflow, sonnet, pytorch, keras, lasagne, mxnet, cntk, chainer, caffe, torch.

Comet.ml and Deepo can be primarily classified as "Machine Learning" tools.

Deepo is an open source tool with 4.89K GitHub stars and 570 GitHub forks. Here's a link to Deepo's open source repository on GitHub.