Lobe.ai vs Leaf: What are the differences?

Developers describe Lobe.ai as "A simple tool for training machine learning models". It helps you train machine learning models with a free, easy to use tool. It has everything you need to bring your machine learning ideas to life. Just show it examples of what you want it to learn, and it automatically trains a custom machine learning model that can be shipped in your app. On the other hand, Leaf is detailed as "Machine learning framework in Rust". Leaf is a Machine Intelligence Framework engineered by software developers, not scientists. It was inspired by the brilliant people behind TensorFlow, Torch, Caffe, Rust and numerous research papers and brings modularity, performance and portability to deep learning. Leaf is lean and tries to introduce minimal technical debt to your stack.

Lobe.ai and Leaf belong to "Machine Learning Tools" category of the tech stack.

Leaf is an open source tool with 5.45K GitHub stars and 275 GitHub forks. Here's a link to Leaf's open source repository on GitHub.