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mlops

Weights & Biases

Weights & Biases (W&B) is an MLOps platform for tracking ML experiments, versioning models and datasets, running hyperparameter sweeps, and sharing interactive dashboards. Best for ML engineers and research teams — its Python SDK plugs into any framework with minimal code changes. A hosted alternative to MLflow and TensorBoard.

Capabilities

What it does

experiment trackingmodel registryhyperparameter optimizationdata analysiscollaborationmodel evaluation

Accepts

data:training metricsdata:model artifactscode:training scriptdata:parametersdata:dataset

Produces

dashboards:experiment dashboarddata:model registrydata:metricsdocument:report
EN

Pricing

freemium

Samples