Weights & Biases (W&B)
A popular MLOps platform for experiment tracking, model monitoring, dataset versioning, and collaborative machine learning development.
Core Features
Experiment tracking (log metrics, hyperparameters, and artifacts). Interactive dashboards for comparing runs. Sweep (hyperparameter search). Artifacts (dataset and model versioning). Reports (shareable experiment documentation).
Why It's Popular
Simple integration (2-3 lines of code), beautiful visualizations, team collaboration features, free tier for individuals, and integrations with every major ML framework (PyTorch, TensorFlow, Hugging Face, etc.).
Alternatives
MLflow (open-source), Neptune.ai, Comet ML, TensorBoard (basic), and ClearML. W&B is the most widely used in the AI research community.