Kubeflow vs. MLflow

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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 MLflow?

MLflow is an open source platform for managing the end-to-end machine learning lifecycle.
Why do developers choose Kubeflow?
Why do you like Kubeflow?

Why do developers choose MLflow?
Why do you like MLflow?

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

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

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

What companies use Kubeflow?
2 companies on StackShare use Kubeflow
What companies use MLflow?
1 companies on StackShare use MLflow
What tools integrate with Kubeflow?
5 tools on StackShare integrate with Kubeflow
No integrations listed yet

What are some alternatives to Kubeflow and MLflow?

  • 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