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ConfigsApr 1, 2026·1 min de lectura

Weights & Biases — ML Experiment Tracking

W&B tracks, visualizes, and manages ML experiments and LLM apps. 10.9K+ GitHub stars. Experiment tracking, model versioning, Weave for LLMs. MIT.

AI Open Source
AI Open Source · Community
Introducción

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

Key Features

  • Experiment tracking and visualization
  • Hyperparameter sweeps
  • Model and data versioning
  • Weave for LLM observability
  • PyTorch, TensorFlow, Keras, JAX integration
  • Cloud or self-hosted

FAQ

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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Fuente y agradecimientos

wandb/wandb — 10,900+ GitHub stars

Discusión

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