Weights & biases - mlops platform

Weights & Biases (W&B) is the machine learning platform for experiment tracking, model management, and collaboration. It helps ML teams track experiments, visualize model performance, manage datasets, and collaborate on machine learning projects. Key features include automated experiment logging, interactive dashboards, hyperparameter optimization, model versioning, and artifact management. W&B supports all popular ML frameworks including PyTorch, TensorFlow, scikit-learn, and more. Teams use W&B to compare model performance, reproduce experiments, and accelerate model development cycles. The platform offers both cloud and on-premise deployment options, with enterprise-grade security and compliance features. W&B is trusted by leading AI companies and research institutions worldwide, offering free tiers for individuals and flexible pricing for teams and enterprises looking to scale their machine learning operations.