Overview
Weights & Biases (W&B) is the leading platform for ML experiment tracking, model management, and collaboration. Used by leading AI companies including OpenAI, the platform provides tools for tracking experiments, visualizing results, comparing models, and managing the ML lifecycle. W&B has become essential infrastructure for ML teams.
The platform emphasizes developer experience with easy integration, beautiful visualizations, and collaborative features. W&B helps teams answer questions like "which experiment performed best?" and "what changed between model versions?" - critical for iterative ML development.
Key Features
**Experiment Tracking**: Log metrics, parameters, artifacts**Model Registry**: Manage model versions and deployments**Visualizations**: Interactive charts and dashboards**Hyperparameter Tuning**: Optimize model configurations**Collaboration**: Share experiments with team**Artifacts**: Version datasets and models**Reports**: Share results with stakeholders**Integrations**: Works with major ML frameworksWhen to Use Weights & Biases
Weights & Biases is ideal for:
ML teams running many experimentsOrganizations training custom modelsTeams needing reproducible ML workflowsCollaborative ML developmentProduction model monitoringAcademic ML researchPros
Industry-standard experiment trackingBeautiful visualizationsEasy to integrateFree tier for individualsGreat developer experienceStrong communityGood documentationActive developmentCons
Can be expensive for large teamsRequires cloud connectionLearning curve for advanced featuresFree tier has limitationsSome features only in paid tiersCan generate lots of dataPrimarily for training (less for inference)May be overkill for simple projectsPricing
**Free**: Individual use, public projects**Team**: $50/user/month**Enterprise**: Custom pricing**Academic**: Free for researchers