Kubeflow vs. Deepo

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What is Kubeflow?

The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.

What is Deepo?

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.
Why do developers choose Kubeflow?
Why do you like Kubeflow?

Why do developers choose Deepo?
Why do you like Deepo?

What are the cons of using Kubeflow?
No Cons submitted yet for Kubeflow
Downsides of Kubeflow?

What are the cons of using Deepo?
No Cons submitted yet for Deepo
Downsides of Deepo?

Want advice about which of these to choose?Ask the StackShare community!

What companies use Kubeflow?
3 companies on StackShare use Kubeflow
What companies use Deepo?
0 companies on StackShare use Deepo
What tools integrate with Kubeflow?
5 tools on StackShare integrate with Kubeflow
What tools integrate with Deepo?
3 tools on StackShare integrate with Deepo

What are some alternatives to Kubeflow and Deepo?

  • TensorFlow - Open Source Software Library for Machine Intelligence
  • scikit-learn - Easy-to-use and general-purpose machine learning in Python
  • Keras - Deep Learning library for Theano and TensorFlow
  • PyTorch - A deep learning framework that puts Python first

See all alternatives to Kubeflow

Interest Over Time