MLflow vs Pythia

MLflow vs Pythia: 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 Pythia? Framework for vision and language multimodal research. A modular framework for supercharging vision and language research built on top of PyTorch.

MLflow and Pythia 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, Pythia provides the following key features:

• Model Zoo
• Multi-Tasking
• Datasets: Includes support for various datasets built-in including VQA, VizWiz, TextVQA and VisualDialog

MLflow and Pythia are both open source tools. It seems that Pythia with 2.6K GitHub stars and 310 forks on GitHub has more adoption than MLflow with 24 GitHub stars and 13 GitHub forks.