Comet.ml vs. Kubeflow

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What is Comet.ml?

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.

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.
Why do developers choose Comet.ml?
Why do you like Comet.ml?

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

What are the cons of using Comet.ml?
No Cons submitted yet for Comet.ml
Downsides of Comet.ml?

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

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

What companies use Comet.ml?
2 companies on StackShare use Comet.ml
What companies use Kubeflow?
2 companies on StackShare use Kubeflow
What tools integrate with Comet.ml?
5 tools on StackShare integrate with Comet.ml
What tools integrate with Kubeflow?
5 tools on StackShare integrate with Kubeflow

What are some alternatives to Comet.ml and Kubeflow?

  • 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 Comet.ml



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