An open source machine learning platform

What is MLflow?

MLflow is an open source platform for managing the end-to-end machine learning lifecycle.

MLflow is a tool in the Machine Learning Tools category of a tech stack.

MLflow is an open source tool with 7 Github Stars and 3 Github Forks. Here’s a link to MLflow's open source repository on Github

Who Uses MLflow?

Why people like MLflow

Here’s a list of reasons why companies and developers use MLflow.



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MLflow's Features

  • Track experiments to record and compare parameters and results
  • Package ML code in a reusable, reproducible form in order to share with other data scientists or transfer to production
  • Manage and deploy models from a variety of ML libraries to a variety of model serving and inference platforms

MLflow's alternatives

  • 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
  • ML Kit - Machine learning for mobile developers (by Google)

See all alternatives to MLflow