TensorFlow.js vs. Kubeflow

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What is TensorFlow.js?

Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

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 TensorFlow.js?
Why do you like TensorFlow.js?

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

What are the cons of using TensorFlow.js?
No Cons submitted yet for TensorFlow.js
Downsides of TensorFlow.js?

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 TensorFlow.js?
9 companies on StackShare use TensorFlow.js
What companies use Kubeflow?
2 companies on StackShare use Kubeflow
What tools integrate with TensorFlow.js?
3 tools on StackShare integrate with TensorFlow.js
What tools integrate with Kubeflow?
5 tools on StackShare integrate with Kubeflow

What are some alternatives to TensorFlow.js 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 TensorFlow.js



Interest Over Time