✓ Use when
Any team training ML models or fine-tuning LLMs. Essential for reproducibility and debugging. Weave is the best LLM observability tool for teams already on W&B.
✗ Avoid when
Pure LLM application teams with no model training — Langfuse or Helicone are lighter-weight LLM-specific options.
What is Weights & Biases?
Weights & Biases (W&B) is the standard tool for ML experiment tracking. Log training runs, compare hyperparameters, visualize metrics, and version datasets and models. Used by OpenAI, NVIDIA, and most serious ML teams. W&B Weave adds LLM observability for production AI applications.
Key features
✓Experiment tracking with automatic logging
✓Hyperparameter sweep optimization
✓Model and dataset artifact versioning
✓Team collaboration on runs and reports
✓W&B Weave for LLM tracing and eval
Integrations
PyTorchTensorFlowHuggingFaceOpenAI
Third-party ratings
G2
4.7· 1,200 reviews
💰 Real-world pricing
What people actually pay
No price data yet — be the first to share
No price data yet for Weights & Biases. Help the community — share what you pay (anonymized).
User Reviews
Be the first to review this tool