Brancher vs Pentaho Data Integration: What are the differences?

What is Brancher? A Python package for differentiable probabilistic inference. It is a user-centered Python package for differentiable probabilistic inference. It allows to design and train differentiable Bayesian models using stochastic variational inference. It is based on the deep learning framework PyTorch.

What is Pentaho Data Integration? Easy to Use With the Power to Integrate All Data Types. It enable users to ingest, blend, cleanse and prepare diverse data from any source. With visual tools to eliminate coding and complexity, It puts the best quality data at the fingertips of IT and the business.

Brancher and Pentaho Data Integration belong to "Data Science Tools" category of the tech stack.

Brancher is an open source tool with 163 GitHub stars and 29 GitHub forks. Here's a link to Brancher's open source repository on GitHub.