Propel vs Torch: 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, Torch is detailed as "An open-source machine learning library and a script language based on the Lua programming language". It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.

Propel and Torch 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, Torch provides the following key features:

• A powerful N-dimensional array
• Lots of routines for indexing, slicing, transposing
• Amazing interface to C, via LuaJIT

Propel is an open source tool with 2.8K GitHub stars and 80 GitHub forks. Here's a link to Propel's open source repository on GitHub.