Weights & Biases
by Weights & Biases · freemium · Last verified 2026-03-17
Weights & Biases (W&B) is the leading MLOps platform for experiment tracking, model evaluation, and dataset versioning. Its Wandb library integrates seamlessly with PyTorch, TensorFlow, and JAX training workflows, and is used by researchers at OpenAI, NVIDIA, and leading universities. The W&B Weave product extends its observability capabilities to LLM evaluation and agent tracing.
https://wandb.ai ↗B
B—Above Average
Adoption: B+Quality: AFreshness: ACitations: B+Engagement: F
Specifications
- License
- Proprietary
- Pricing
- freemium
- Capabilities
- experiment-tracking, model-evaluation, dataset-versioning, llm-observability, hyperparameter-tuning
- Integrations
- pytorch, tensorflow, hugging-face, langchain, openai
- Use Cases
- ml-research, model-training, llm-evaluation, mlops, team-collaboration
- API Available
- Yes
- Tags
- mlops, experiment-tracking, observability, infrastructure
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
65.4Adoption
72
Quality
88
Freshness
80
Citations
76
Engagement
0
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