W&B tracks, visualizes, and manages ML experiments and LLM apps. 10.9K+ GitHub stars. Experiment tracking, model versioning, Weave for LLMs. MIT.
这里应该同时让用户和 Agent 知道第一步该复制什么、安装什么、落到哪里。
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.
wandb/wandb — 10,900+ GitHub stars
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