MLflow vs PredictionIO

MLflow vs PredictionIO: What are the differences?

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

What is PredictionIO? Open Source Machine Learning Server. PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery.

MLflow and PredictionIO can be categorized as "Machine Learning" tools.

Some of the features offered by MLflow are:

• 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

On the other hand, PredictionIO provides the following key features:

• Integrated with state-of-the-art machine learning algorithms. Fine-tune, evaluate and implement them scientifically.
• Customize the modularized open codebase to fulfill any unique prediction requirement.
• Built on top of scalable frameworks such as Hadoop and Cascading. Ready to handle data of any scale.

MLflow and PredictionIO are both open source tools. PredictionIO with 11.8K GitHub stars and 1.92K forks on GitHub appears to be more popular than MLflow with 23 GitHub stars and 13 GitHub forks.