Propel vs AWS DeepLens: What are the differences?

What is Propel? Machine learning for JavaScript. Propel provides a GPU-backed numpy-like infrastructure for scientific computing in JavaScript.

What is AWS DeepLens? Deep learning enabled video camera for developers. It helps put machine learning in the hands of developers, literally, with a fully programmable video camera, tutorials, code, and pre-trained models designed to expand deep learning skills.

Propel and AWS DeepLens 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, AWS DeepLens provides the following key features:

• A new way to learn machine learning
• Custom built for deep learning
• Build custom models with Amazon SageMaker

Propel is an open source tool with 2.78K GitHub stars and 79 GitHub forks. Here's a link to Propel's open source repository on GitHub.