Weights & Biases
ML experiment tracking, visualization, and collaboration
About
Weights and Biases is a platform for experiment tracking, dataset versioning, model registry, and visualization across machine learning pipelines. The wandb Python library logs metrics, hyperparameters, gradients, and artifacts from training runs to a hosted or self-hosted server with a web UI for comparisons and reports. The team also ships Weave, a companion library focused on tracing, evaluation, and monitoring of LLM and agent apps.
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Details
- Category
- AI Observability & Evaluation
- Price
- Freemium
- Platform
- Hybrid
- Difficulty
- Easy (2/5)
- License
- MIT
- Added
- Jan 29, 2026
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