Weights & Biases and MLflow both cover Machine Learning and jointly match machine learning、data science、MLOps and similar needs, for users who want to prioritize comparing similar use cases.
Differences between Weights & Biases and MLflow mainly show in product experience, feature depth, and workflow design around machine learning.