Weights & Biases
AI Developer ToolsMLOps platform for tracking, visualizing, and collaborating on ML experiments
About Weights & Biases
Weights & Biases (W&B) is an MLOps platform used by machine learning teams to track experiments, visualize model performance, manage datasets and artifacts, and collaborate on model development. W&B integrates with PyTorch, TensorFlow, Keras, and major ML frameworks, and is used by researchers and engineers at companies including OpenAI, NVIDIA, Samsung, and leading academic labs.
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- Lukas Biewald
- Chris Van Pelt
- Shawn Lewis
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Weights & Biases FAQs
Is W&B free?
Weights & Biases has a free personal plan for individual projects with unlimited tracking. Team plans and enterprise plans are paid and include additional collaboration features, access controls, and support.
What ML frameworks does W&B support?
W&B integrates natively with PyTorch, TensorFlow, Keras, JAX, Scikit-learn, Hugging Face Transformers, Lightning, and most major ML frameworks through simple Python callbacks.
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