Propel vs Pythia: What are the differences?

Developers describe Propel as "Machine learning for JavaScript". Propel provides a GPU-backed numpy-like infrastructure for scientific computing in JavaScript. On the other hand, Pythia is detailed as "Framework for vision and language multimodal research". A modular framework for supercharging vision and language research built on top of PyTorch.

Propel and Pythia belong to "Machine Learning Tools" category of the tech stack.

Some of the features offered by Propel are:

• Run anywhere, in the browser or natively from Node
• Target multiple GPUs and make TCP connections
• PhD optional

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

Propel and Pythia are both open source tools. Propel with 2.81K GitHub stars and 81 forks on GitHub appears to be more popular than Pythia with 2.6K GitHub stars and 310 GitHub forks.