Weights & Biases

ML experiment tracking and model monitoring platform

Data & AnalyticsFreemium

Weights & Biases (W&B) is the leading MLOps platform for tracking machine learning experiments, visualizing model training, and collaborating on AI projects. Every model run is automatically logged — hyperparameters, metrics, artifacts, and system utilization — creating a complete audit trail for reproducibility. The interactive Dashboard lets teams compare runs side-by-side, while Sweeps automates hyperparameter optimization. Used by teams at OpenAI, NVIDIA, and Samsung, W&B is the infrastructure layer that serious ML teams build on.

Key Features

• ✓Automatic experiment tracking
• ✓Hyperparameter sweep optimization
• ✓Model artifact versioning
• ✓Collaborative reports
• ✓Dataset versioning
• ✓System resource monitoring