W&B tracks, visualizes, and manages ML experiments and LLM apps. 10.9K+ GitHub stars. Experiment tracking, model versioning, Weave for LLMs. MIT.
This block should tell both the user and the agent what to copy, install, and apply first.
pip install wandb
wandb login
python -c "
import wandb
wandb.init(project=\"my-project\")
wandb.log({\"accuracy\": 0.95, \"loss\": 0.05})
wandb.finish()
print(\"Logged to W&B!\")
"Weights & Biases (W&B) is the AI developer platform for tracking, visualizing, and managing machine learning experiments. With 10,900+ GitHub stars and MIT license, it provides experiment tracking and visualization, hyperparameter management, model and data versioning, LLM app monitoring via Weave, and integration with TensorFlow, PyTorch, Keras, JAX. Cloud, dedicated, or self-managed hosting.
Best for: ML teams needing experiment tracking and model management Works with: Claude Code, OpenAI Codex, Cursor, Gemini CLI, Windsurf
Q: What is W&B? A: ML experiment tracking platform with 10.9K+ stars. Tracking, visualization, versioning, LLM monitoring via Weave. MIT.
Q: How do I install W&B? A: pip install wandb. wandb login. wandb.init() in your code.
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