W
Frameworks
Weights & Biases
The premier developer-first MLOps platform used to build better models faster through experiment tracking and model registry.
What is Weights & Biases?
Often referred to as W&B, this platform is the industry standard for tracking machine learning experiments. It is used by teams at OpenAI, NVIDIA, and DeepMind to monitor massive model training runs.
Key Features
- Experiment Tracking: Log hyperparameter sweeps, system metrics, and model outputs in real-time beautiful dashboards.
- Model Registry: Manage the complete lifecycle of your ML models from training to production.
- Prompts: Track and evaluate LLM inputs and outputs to build robust generative AI applications.
💰 Pricing
Weights & Biases offers a free tier for individuals with unlimited tracked experiments. Teams is $50/user/month with shared dashboards, access controls, and priority support. Enterprise has custom pricing with SSO, on-premises deployment, and SLAs. Academic and open-source projects get free access.
🔄 Best Alternatives to Weights & Biases
| Tool | Best For |
|---|---|
| Vertex AI | Managed ML training and deployment on Google Cloud |
| Hugging Face | Open-source model hub with experiment sharing |
| Together AI | Fast open-source model inference and fine-tuning |
| Google AI Studio | Rapid LLM prototyping and evaluation |
| Replicate | Run and version ML models via API |